Determination of general combining ability and Heterosis for yield and quality of tomato inbred lines

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Lines NBLTM-3, NBLTM-4, and NBLTM-16, along with testers NBLTM-21, NBLTM-24, NBLTM-26, and NBLTM-28, exhibited high GCA, indicating their consistent positive contributions to trait performance. Notably, 68% of the evaluated hybrids displayed high SCA across fourteen traits, highlighting effective combinations and the predominance of non-additive gene action. The analysis revealed that line contributions were more significant than those of testers, with line × tester interactions playing a critical role in hybrid performance. Twelve hybrids demonstrated high overall heterotic status, with NBLTM-4 × NBLTM-29 and NBLTM-3 × NBLTM-28 leading in heterotic responses. Positive heterosis was observed in key traits such as fruit weight and total soluble solids, while negative heterosis was noted in traits like blossom end size. These findings underscore the potential for developing superior hybrids to boost agricultural productivity by focusing on the strengths of both parental lines and hybrid selection. Horticulture Virology Population Genetics Tomato genotypes ToLCV Ty gene Tester Lines General Combining Ability Specific Combining Ability Heterosis Figures Figure 1 Figure 2 Introduction Tomato ( Solanum lycopersicum L.) is one of the most economically significant vegetable crops worldwide, valued for its nutritional properties and culinary versatility (Salunkhe et al ., 1987). As global population increases, ensuring food security necessitates the development of high-yielding tomato varieties with enhanced quality traits such as flavor, firmness, and nutritional content (Pruthi, 1993). Achieving these objectives requires a comprehensive understanding of the genetic factors governing yield and quality attributes in tomato. Genetic improvement in tomatoes often involves hybridization, wherein desirable traits from different parental lines are combined to generate superior hybrid varieties. The success of hybrid breeding programs relies on the identification and utilization of inbred lines possessing favorable genetic attributes (Metwally et al ., 2015). Assessing the general combining ability (GCA) of these inbred lines provides insights into their overall breeding value, particularly their additive genetic effects contributing to trait expression in hybrids (Vijeth et al ., 2018). Heterosis, commonly referred to as hybrid vigor, describes the phenomenon where hybrid offspring exhibit superior performance relative to their parents for certain traits (Sridhara et al ., 2008). Heterosis plays a crucial role in plant breeding, as it offers opportunities to develop hybrids with enhanced yield and quality characteristics compared to their parental lines. Understanding the extent and nature of heterosis in tomato hybrids is essential for effective hybrid variety development and deployment (Singh and Asati, 2011). This study aims to determine the GCA, SCA and heterosis for yield and quality traits in a set of tomato inbred lines. By conducting controlled hybridization experiments and rigorous statistical analyses, we seek to identify inbred lines with high GCA for targeted trait improvement and evaluate the potential for exploiting heterosis in hybrid tomato breeding. The findings of this research will contribute to the development of superior tomato varieties with increased yield and improved quality, addressing the evolving demands of consumers and the agricultural industry. Materials And Methods 1. Selection of Inbred Lines : Identify a diverse set of tomato inbred lines known for their distinct phenotypic traits related to yield and quality. Choose lines with contrasting characteristics to maximize genetic diversity within the breeding population. 2. Experimental Design: Establish field trial plots in a randomized complete block design (RCBD) to minimize experimental error and environmental variability. Replicate each hybrid and parental line across multiple blocks to account for within-field variability. Allocate buffer rows between different genotypes to minimize cross-pollination. 3. Field Trials : Prepare the field site by ensuring proper soil preparation, irrigation, and weed management. Plant seeds or seedlings of parental lines and hybrids at appropriate spacing and row arrangements. Implement standard agronomic practices throughout the growing season, including fertilization, pest control, and irrigation. 5. Trait Measurement: Record data on yield-related traits, including fruit weight, number of fruits per plant, total yield per plant and fruit size. Assess quality traits such as fruit firmness, color, sugar content (Brix), carotenoids. Utilize standardized measurement techniques and equipment to ensure accuracy and consistency across observations. 5. Statistical Analysis: Perform analysis of variance (ANOVA) to partition the total variation into components attributable to genotypes (inbred lines and hybrids) and environments. Estimate general combining ability (GCA) effects for each parental line using appropriate statistical methods, such as Griffing's method or analysis of variance of specific combining ability (ANOVASCA). Calculate specific combining ability (SCA) effects for hybrid combinations to assess non-additive genetic effects. Determine heterosis for yield and quality traits by comparing the performance of hybrids to their mid-parent values (MPVs) and parental lines. 6. Validation and Replication: Validate the findings through repeated field trials across multiple growing seasons and environments. Replicate the experiment to confirm the stability and consistency of GCA, SCA, and heterosis estimates. Results And Discussion Mean performance of parents and hybrids for yield and yield attributes Mean performance results of parents (Lines and Testers) and hybrids for 14 quantitative traits are presented (table 1 a, 1 b, 1c, 1 d, 1 e and 1 f) and discussion are presented. 1. Lines: The line NBLTM-23 recorded the highest fruit weight (81.36 g), while NBLTM-16 had the lowest (37.8 g). For total soluble sugars, NBLTM-23 exhibited the highest Brix value (5.10), and NBLTM-4 and NBLTM-17 had the lowest (4.15). In terms of fruit length, NBLTM-17 showed the greatest length (6.45 cm), whereas NBLTM-23 had the shortest (4.15 cm). NBLTM-16 also had the highest fruit width (6.55 cm), with NBLTM-3 being the narrowest (4.95 cm). The thickness of the pericarp was highest in NBLTM-3 (0.775 mm) and lowest in NBLTM-23 (0.575 mm). The largest size of locules was observed in NBLTM-3 (3.85 cm), while NBLTM-16 had the smallest (1.65 cm). NBLTM-4 recorded the highest fruit firmness (10.86 kg/cm²), in contrast to NBLTM-16, which had the lowest (2.73 kg/cm²). For fruit size at the blossom end, NBLTM-3 was the largest (0.33 mm), and NBLTM-4 was the smallest (0.13 mm). The highest number of locules was found in NBLTM-16 (5), while NBLTM-3 had the lowest (2). The length of the fruit stalk was greatest in NBLTM-3 (3.45 cm) and shortest in NBLTM-4 (1.90 cm). NBLTM-16 produced the highest seed yield per fruit (323.5 mg), whereas NBLTM-3 had the lowest (130.0 mg). Additionally, NBLTM-3 had the highest number of seeds per fruit (76.5), while NBLTM-17 had the lowest (34.0). NBLTM-23 showed the best seed germination (79.5%), with NBLTM-16 recording the lowest (37.5%). The electrical conductivity was lowest in NBLTM-17 (31.79 μS/cm/g) and highest in NBLTM-4 (68.81 μS/cm/g) as exhibited in table 1 a and 1 b. 2. Testers: Among the testers, NBLTM-28 had the highest fruit weight (100.05 g), while NBLTM-24 recorded the lowest (50.55 g). For total soluble sugars, NBLTM-28 also led with a Brix value of 6.20, and NBLTM-24 had the lowest (4.45). The highest fruit length was observed in NBLTM-28 (6.25 cm), compared to the lowest in NBLTM-21 (4.25 cm). NBLTM-28 also had the widest fruit (5.55 cm), while NBLTM-24 had the narrowest (4.45 cm). In thickness of pericarp, NBLTM-28 again ranked highest (0.88 mm) and NBLTM-21 the lowest (0.55 mm). The largest size of locules was found in NBLTM-28 (2.75 cm), and NBLTM-26 had the smallest (2.25 cm). The highest firmness was in NBLTM-21 (8.85 kg/cm²), while NBLTM-26 had the lowest (5.18 kg/cm²). For fruit size at the blossom end, NBLTM-28 was the largest (0.35 mm), and NBLTM-24 was the smallest (0.19 mm). NBLTM-21 had the highest number of locules (6), whereas NBLTM-28 had the lowest (2). The length of the fruit stalk was highest in NBLTM-28 (2.90 cm) and lowest in NBLTM-29 (2.40 cm). NBLTM-21 recorded the highest seed yield per fruit (239.5 mg), while NBLTM-28 had the lowest (144.0 mg). The highest number of seeds per fruit was in NBLTM-21 (63.0), compared to the lowest in NBLTM-26 (33.5). NBLTM-28 exhibited the highest seed germination (94.5%), while NBLTM-24 had the lowest (47.5%). The electrical conductivity was lowest in NBLTM-28 (33.60 μS/cm/g) and highest in NBLTM-29 (69.38 μS/cm/g) as exhibited in table 1 c and 1 d. 3. Hybrids (Parental Crosses): Among the parental crosses, NBLTM-16 × NBLTM-26 had the highest fruit weight (138.5 g), while NBLTM-23 × NBLTM-28 recorded the lowest (38.4 g). For total soluble sugars, the highest was in NBLTM-4 × NBLTM-21 (6.25 Brix), and the lowest was observed in NBLTM-4 × NBLTM-29 (3.35 Brix). The hybrid NBLTM-16 × NBLTM-28 had the longest fruit (6.62 cm), while NBLTM-23 × NBLTM-28 had the shortest (2.82 cm). In terms of fruit width, NBLTM-16 × NBLTM-26 was the widest (7.89 cm), and NBLTM-17 × NBLTM-29 was the narrowest (2.30 cm). The thickness of pericarp was highest in NBLTM-4 × NBLTM-28 (1.25 mm), while the lowest was in NBLTM-17 × NBLTM-24 and NBLTM-23 × NBLTM-28 (0.36 mm). The largest size of locules was in NBLTM-4 × NBLTM-26 (4.05 cm), and the smallest was in NBLTM-17 × NBLTM-29 (1.15 cm). The highest firmness among hybrids was observed in NBLTM-3 × NBLTM-24 (11.80 kg/cm²), and the lowest in NBLTM-3 × NBLTM-28 (5.31 kg/cm²). For fruit size at the blossom end, the highest was recorded in NBLTM-3 × NBLTM-24, NBLTM-3 × NBLTM-29, and NBLTM-16 × NBLTM-28 (0.19 mm), while the lowest was found in NBLTM-3 × NBLTM-28, NBLTM-4 × NBLTM-21, and NBLTM-4 × NBLTM-24 (0.09 mm). The highest number of locules was in NBLTM-16 × NBLTM-26 (6). Lastly, the length of the fruit stalk was greatest in NBLTM-3 × NBLTM-21 (3.20 cm) and lowest in NBLTM-4 × NBLTM-29 (2.25 cm). The highest seed yield per fruit among hybrids was in NBLTM-4 × NBLTM-28 (390.0 mg), while the lowest was in NBLTM-17 × NBLTM-29 (80.0 mg). The highest number of seeds per fruit was in NBLTM-16 × NBLTM-26 (166.5), while the lowest was in NBLTM-4 × NBLTM-29 (24.0). The highest seed germination was recorded in NBLTM-17 × NBLTM-21 (88.5%), and the lowest was in NBLTM-16 × NBLTM-26 and NBLTM-23 × NBLTM-26 (70.5%). The lowest electrical conductivity was in NBLTM-17 × NBLTM-21 (18.42 μS/cm/g), while the highest was in NBLTM-3 × NBLTM-28 (63.58 μS/cm/g) as exhibited in table 1 e and 1 f. Analysis of variance (ANOVA) The analysis of variance due to different sources of variation for fourteen traits studied viz ., weight of fruits, total soluble solids, fruit length, fruit width, thickness of pericarp, size of locules, fruit firmness, size at blossom end, number of locules, length of fruit stalk, seed yield per fruit, number of seeds per fruit, seed germination and electrical conductivity are summarized in (Table 2 a and 2 b). The ANOVA indicated that, the difference among the genotypes (parents and crosses) and variance due to crosses was significant for all the characters based on their mean sum of square values. The difference among the parents was highly significant for all the traits. The variances due to lines and testers were significant variance for all the traits studied and also the line × tester interaction showed variance was significant for all the traits. Significant variances due to line × tester interaction for all the characters suggested the presence of significant variances for sca among hybrids (Vekariya et al ., 2019). The results on the mean performance of parents for fourteen traits studied revealed substantial variability among lines and testers. However, in general no single line or tester was found to have better mean performance for all the characters studied. These results are in agreement with those of Metwally et al . (2015), Nayana et al . (2021) and Navaneet Singh et al . (2022). Combining ability analysis The general combining ability and specific combining ability effects of parents (lines and testers) estimated for fourteen traits is presented in (Table 3 a, 3 b, 3c, 3 d and 5 a and 5 b). The combining ability analysis revealed significant effects across various traits. For fruit weight, NBLTM-4 and NBLTM-16 showed positive GCA, while NBLTM-17 and NBLTM-23 had negative effects; the hybrid NBLTM-23 × NBLTM-29 exhibited the highest positive SCA. In terms of total soluble sugars, NBLTM-4 and NBLTM-16 demonstrated positive GCA, with NBLTM-4 × NBLTM-24 showing the highest positive SCA. For fruit length, positive GCA was observed in NBLTM-3 and NBLTM-16, while the hybrid NBLTM-17 × NBLTM-21 had the highest positive SCA. Regarding fruit width, NBLTM-16 and NBLTM-4 were positive for GCA, with NBLTM-3 × NBLTM-29 displaying the highest positive SCA. In thickness of pericarp, NBLTM-3 and NBLTM-4 had positive GCA, and NBLTM-17 × NBLTM-21 showed the highest positive SCA. For size of locules, NBLTM-3 and NBLTM-4 exhibited positive GCA, with NBLTM-17 × NBLTM-21 having the highest positive SCA. Fruit firmness was positive in NBLTM-17 but negative in NBLTM-23; NBLTM-3 × NBLTM-24 had the highest positive SCA. Seed yield per fruit showed a positive GCA in NBLTM-16, while all hybrids had non-significant SCA effects. In number of seeds per fruit, NBLTM-16 had a positive GCA and NBLTM-29 a negative one, with all hybrids showing non-significant SCA effects. For seed germination, NBLTM-3, NBLTM-4, and NBLTM-17 showed positive GCA, while NBLTM-16 and NBLTM-23 were negative; the hybrid NBLTM-16 × NBLTM-28 had the highest positive SCA. Lastly, in electrical conductivity, NBLTM-3 and NBLTM-4 had positive GCA, while the hybrid NBLTM-3 × NBLTM-24 exhibited the highest negative SCA. This trait-wise analysis highlights the diverse combining abilities of lines, testers, and hybrids, offering insights for future breeding efforts. The combining ability analysis revealed significant differences among the lines, testers, and hybrids for various traits. In terms of General Combining Ability (GCA), lines such as NBLTM-3, NBLTM-4, and NBLTM-16 exhibited high positive GCA for several traits, including fruit weight, total soluble sugars, and fruit length, while lines like NBLTM-17 and NBLTM-23 showed consistently negative GCA across multiple traits. Among the testers, NBLTM-21, NBLTM-24, NBLTM-26, and NBLTM-28 demonstrated positive GCA, particularly in fruit width and seed yield, whereas NBLTM-29 often yielded negative GCA. For Specific Combining Ability (SCA), notable hybrids like NBLTM-23 × NBLTM-29 and NBLTM-3 × NBLTM-21 showed significant positive effects for fruit weight and total soluble sugars, while hybrids such as NBLTM-16 × NBLTM-21 exhibited negative SCA effects in several traits. Overall, the analysis indicates that specific lines and hybrids hold promise for enhancing desirable characteristics in future breeding programs. Overall general combining ability status of lines and testers It can be substantiated from the (Table 4 a and 4 b) that the lines NBLTM-3, NBLTM-4 and NBLTM-16 were found to possess high (H) overall general combining ability status based on their rankings. However, the lines NBLTM-17 and NBLTM-23 were found to possess low (L) overall general combining ability effects based on their respective rankings. Out of five testers, four testers viz ., NBLTM-21, NBLTM-24, NBLTM-26 and NBLTM-28 recorded high (H) overall general combining ability status and NBLTM-29 was found to possess low (L) overall general combining ability effects based on their respective rankings (Table 4 a and 4 b). The selection of potential parent in hybridization may be judged by comparing the per se performance of the parents, the F 1 value (heterosis) and the combining ability effects. However, per se performance of a parent alone is not always a true indicator of its potentiality in hybrid combination most of the time. Therefore, general combining ability, which is also the breeding value of the parent, has proved as a useful tool for selecting the parents for hybridization. Among parents, the significant gca effects was observed, the parents with higher magnitude of gca effects were considered as superior to those with lower magnitude. Results revealed that 80.0 % of the testers and 60.0 % of the lines performed better and have overall general combining ability in an estimated direction. The superiority of female and male lines were observed for gca. These results are on par with the reports of Zengin et al . (2015); Venkariya et al. (2019); Liu et al . (2021) and Navneet Singh et al. (2022). There is a need of identifying the superior combiners which helps the breeders in selecting appropriate parents to be used in the breeding programmes to develop superior hybrids in tomato (Liu et al ., 2021). Overall specific combining ability status of hybrids It is important to determine whether hybrids possess higher sca values across all the characters or not. The overall sca status of all the hybrids across fourteen traits was determined and same is presented in (Table 6). From the results, it is evident that 68 % of the hybrids , i.e., 17 of the twenty five hybrids had high (H) overall sca status and the remaining eight had low (L) overall sca status across the fourteen traits. Several workers including Vekariya et al . (2019); Nayana et al . (2021) and Navneet Singh et al. (2022) identified good specific combiners for different yield and yield attributing characters based on high sca effects in desirable direction. One of the parent with high gca another parent with low gca , resulted in hybrid with high sca effect, which may be due to the predominance of dominant allele Vekariya et al . (2019). When both the parents recorded low gca effects, led to a hybrid with high sca effect which may be due to accumulation of favourable alleles and non-additive gene action. Similar findings as observed in the present study were also reported by Singh and Asati (2011); Zengin et al . (2015); Metwally et al. (2015); Vekariya et al . (2019); Nayana et al. (2021) and Navneet Singh et al. (2022) in tomato. Variance due to general and specific combining ability effects The variance due to general and specific combining ability effects for fourteen different traits is presented in (Table 7, Fig. 1). The results revealed that, an estimate of sca variance was predominant for all the characters studied as indicated by gca to sca ratio. This was maximum in respect of seed yield per fruit (1885.275) followed by weight of fruit (434.456) and number of seeds per fruit (276.578). The predominance of sca variance indicated there is a presence of non-additive gene action. These results indicated that preponderance of non-additive gene action in the expression of all the traits studied and a very good prospect for the exploitation of non-additive genetic variation for traits through hybrid breeding in tomato (Zengin et al . 2015). The estimates of variance due to gca and sca indicated the predominance of sca variance for all the traits. These results are in conformity with Singh and Asati (2011); Zengin et al . (2015); Metwally et al. (2015); Vekariya et al . (2019); Nayana et al. (2021) and Navneet Singh et al. (2022) in tomato and also reported that non-additive gene effects were predominant than additive gene effects especially for yield and its component characters. The presence of non-additive genetic variance in this study offer scope for exploitation of heterosis for these characters. Proportional contribution of lines, testers and line × tester interaction towards the performance of hybrids The proportional contribution of lines, testers and lines × testers interaction for nine traits is presented in (Table 8 and Fig. 2). The results revealed that the per cent contribution of lines was higher for all the traits compared with the testers. However, the per cent contribution of lines × testers interaction was more for all the characters. The results revealed that contribution per cent contribution of the line × tester interaction effect to the variation observed in hybrids was higher for all the traits. The lines contributed towards the variation in the hybrids for all the traits. Overall lines were found to have more role in the variation among the hybrids. Therefore, emphasis needs to be given while selecting the lines. However, the same thing cannot be done with respect to lines × testers interaction as it is not under the breeder's control, but it depends on the particular way in which the lines and testers interact and also on the environment in which the hybrids are grown. The results were on par with Navneet Singh et al. (2022) in tomato. Heterosis The results of heterosis of fourteen quantitative traits for important yield attributing traits are presented and discussed hereunder (Table 9 a, b, c, d and e). Mid Parent Heterosis Across the evaluated traits, significant positive heterosis over the mid parent was observed in several hybrids. Notably, fruit weight exhibited impressive gains, particularly with NBLTM-16 × NBLTM-24 showing 160.78%. In terms of total soluble solids, NBLTM-4 × NBLTM-24 led at 39.73%. Fruit length also demonstrated positive heterosis, with NBLTM-16 × NBLTM-26 achieving 42.10%. Other traits, such as fruit width (NBLTM-16 × NBLTM-26 at 31.58%) and thickness of pericarp (NBLTM-4 × NBLTM-26 at 91.67%), followed suit. For seed germination, hybrids like NBLTM-16 × NBLTM-24 exhibited 68.24%, while fruit firmness peaked with NBLTM-16 × NBLTM-26 at 104.30%. Conversely, several traits, including size at blossom end and number of locules, revealed significant negative heterosis, with NBLTM-3 × NBLTM-28 showing -80.05% and NBLTM-4 × NBLTM-21 at -60.00%, respectively. Better Parent Heterosis When comparing hybrids to the better parent, several traits exhibited substantial positive heterosis. For fruit weight, NBLTM-16 × NBLTM-24 achieved 132.09%, and total soluble solids were notably enhanced by NBLTM-4 × NBLTM-24 at 34.83%. In fruit length, NBLTM-16 × NBLTM-26 reached 41.32%, while fruit width showed NBLTM-16 × NBLTM-26 at 20.53%. The thickness of pericarp also demonstrated improvements with NBLTM-4 × NBLTM-26 at 58.62%. However, for certain traits like size of locules and number of locules, significant negative heterosis was noted against the better parent, with NBLTM-4 × NBLTM-21 reaching -66.67%. For seed yield per fruit and number of seeds per fruit, improvements were limited, with the best results being NBLTM-4 × NBLTM-28 and NBLTM-16 × NBLTM-24 showing positive heterosis of 109.40% and 180.90%, respectively. Standard Heterosis In terms of standard heterosis, several hybrids demonstrated remarkable improvements across various traits. For fruit weight, the hybrid NBLTM-16 × NBLTM-26 exhibited a striking 265.92%, while NBLTM-16 × NBLTM-24 showed 204.36% in the same trait. Total soluble solids were notably enhanced by NBLTM-4 × NBLTM-21 at 40.45%. The thickness of pericarp also revealed significant positive heterosis, with NBLTM-4 × NBLTM-28 achieving 61.29%. However, several traits experienced negative heterosis, particularly size at blossom end and number of locules, with NBLTM-3 × NBLTM-28 showing -85.60% and NBLTM-4 × NBLTM-21 at -66.67%, indicating a need for further investigation into these specific crosses. Overall, the data highlights the potential for hybridization to enhance important agricultural traits while also identifying areas requiring further research to mitigate negative effects. Overall heterotic status of hybrids It is important to determine the overall heterotic status of the hybrids across the characters in addition to determining the overall general combining ability status of parents and overall specific combining ability status of crosses. Hence, the method (Descending order) which was used for determining overall sca status of hybrids was also utilized to compute overall heterotic status of each cross and the results of the same are tabulated in (Table 73). From the (Table 73) it is evident that, 12 out of 25 hybrids manifested high (H) overall heterotic status while the remaining 13 crosses expressed low (L) overall heterotic status across the traits. Of these, the cross NBLTM -4 × NBLTM- 29 (H × L) manifested highest heterotic status over final norm of 245, followed by NBLTM-3 × NBLTM-28 (H × H) with 235. Among the lines, NBLTM -16 with high (H) GCA status produced maximum of four hybrids with high heterotic status. Among the testers, NBLTM-24 and NBLTM-26 with high (H) overall gca status, when crossed with all five lines produced four hybrids with high overall heterotic status. Approximately, similar type of results obtained by Nayana et al. (2021) in tomato. It is an evident that the number of hybrids with low (L) overall heterotic status was more in H × H, L × H or H × L type of crosses than in L × L combinations. Similar type of observations was also reported by Nayana et al. (2021) in tomato. This clearly indicated the need for using the parents having high overall gca status or at least using the parent having high gca status to produce hybrids with overall heterotic status. Summary The study highlighted significant genetic potential in the evaluated lines and testers for breeding. Lines NBLTM-3, NBLTM-4, and NBLTM-16, along with testers NBLTM-21, NBLTM-24, NBLTM-26, and NBLTM-28, showed high General Combining Ability (GCA). Notably, 68% of the hybrids exhibited high Specific Combining Ability (SCA) across fourteen traits, indicating effective combinations and a predominance of non-additive gene action. The analysis revealed that line contributions were greater than those of testers, with line × tester interactions also playing a crucial role. Twelve hybrids demonstrated high overall heterotic status, with NBLTM-4 × NBLTM-29 and NBLTM-3 × NBLTM-28 leading in heterotic responses. These findings suggest a promising avenue for developing superior hybrids to boost agricultural productivity. Conclusion The analysis of General Combining Ability (GCA) and Specific Combining Ability (SCA) across various traits highlights the genetic strengths of the evaluated lines and testers. Significant GCA effects show that some parental lines consistently contribute positively to trait performance, making them valuable for breeding. Notable SCA effects indicate that specific hybrid combinations can lead to exceptional results, emphasizing the importance of selecting the right parents for hybridization. Heterosis assessments revealed both positive and negative results. Significant positive heterosis was observed in traits like fruit weight, total soluble solids, and fruit firmness, particularly in hybrids such as NBLTM-16 × NBLTM-26. This suggests that these hybrids can outperform their parents, enhancing agricultural productivity. However, negative heterosis was noted in traits like size at blossom end and number of locules, which requires careful management. In summary, the findings underline the importance of both parental quality and hybrid selection in improving crop traits. By focusing on the strengths of lines and testers, breeders can develop superior hybrids that boost yield and quality, meeting the needs of agricultural production. Declarations Declaration or Conflict of interest All the authors are agreed the manuscript and there is a compatibility between the members. References SALUNKHE, D. K., DESAI, B. B. AND BHAT, N. R., 1987, Vegetable and flower seed production. First Edn, Agricole pub. Acad., New Delhi, India, 135. PRUTHI, J. S., 1993, Major spices of India. Crop management and post-harvest technology. Indian J. Agric. Res., New Delhi. METWALLY, E. I., EL-KASSAS, A. I., EL-TANTAWY, A. M., MAHMOUD, M. I. AND EL-MANSY, A. B., 2015, Heterosis and combining ability in tomato by line × tester. J. Plant Prod., 6(2):159-173. VIJETH, S., DHALIWAL, M. S., JINDAL, S. K. AND SHARMA, A., 2018, Evaluation of tomato hybrids for resistance to leaf curl virus disease and for high-yield production. Horti. Environ. Biotechnol., 59 (5):699-709. SRIDHARA, S. K., RANGASWAMY, K. T., ASWATHANARAYANA, D. S., PRAMEELA, H. A., KULKARNI, R. S., MUNIYAPPA, V. AND MARUTHI, M. N., 2008, Development of tomato hybrids resistant to tomato leaf curl virus disease in South India. Euphytica, 164 (2):531-539. SINGH, A. K. AND ASATI, B. S., 2011, Combining ability and heterosis studies in tomato under bacterial wilt condition. Bangladesh J. Agril. Res., 36(2):313-318. VEKARIYA, T., KULKARNI, G. U., VEKARIA, D. M., DEDANIYA, A. P. AND MEMON, J. T., 2019, Combining ability analysis for yield and its components in tomato (Solanum lycopersicum L.). Acta Scientific Agric., 3 (7): 185-191. NAYANA, K. R., SRINIVASA, V., DEVARAJU, DUSHYANTH KUMAR, B. M. AND NATARAJ, S. K., 2021, General and specific combining ability studies for processing traits in tomato (Solanum lycopersicum L.) under protected condition. Phar. Innov. J., 10 (12): 2462-2465. NAVNEET SINGH, RAM, C. N., VIKASH SINGH AND DIJENDRA KUMAR, 2022, Line × Tester Analysis and estimating combining abilities for yield and some quality attributes in tomato (Solanum lycopersicum L.). Int. J. Pl. Soil Sci., 34 (21): 176-194. ZENGIN, S., KABAS, A., ASU, O. G. U. Z., AHMET, E. R. E. N. AND POLAT, E., 2015, Determining of general combining ability for yield, quality and some other traits of tomato (Solanum lycopersicum L.) inbred lines. Akdeniz Üniversitesi Ziraat Fakültesi Dergisi, 28 (1): 1-4 LIU, Z., JIANG, J., REN, A., XU, X., ZHANG, H., ZHAO, T. AND YANG, H., 2021, Heterosis and combining ability analysis of fruit yield, early maturity and quality in tomato. J. Agron., 11 (4): 807-822. Tables Table 1a. Performance of tomato lines for yield and yield contributing characteristics Lines Weight of fruits (g) TSS (Brix) Fruit length (cm) Fruit width(cm) Thickness of pericarp (mm) Size of locules Fruit firmness (kg/cm 2 ) NBLTM-3 37.85 4.45 6.25 4.95 0.775 3.85 8.13 NBLTM-4 40.80 4.15 4.30 5.95 0.725 2.45 10.86 NBLTM-16 37.80 4.45 4.55 6.55 0.605 1.65 2.73 NBLTM-17 48.95 4.15 6.45 5.15 0.675 2.15 7.23 NBLTM-23 81.35 5.10 4.15 5.45 0.575 2.35 7.56 SEm± 2.517 0.035 0.068 0.122 0.0168 0.0566 0.263 CD @ 5% 5.195 0.073 0.139 0.251 0.0347 0.1169 0.543 CD @ 1% 7.039 0.099 0.189 0.340 0.0471 0.1584 0.735 Table 1b. Performance of tomato lines for yield and yield contributing characteristics Lines Size at blossom end(mm) Number of locules Length of fruit stalk (cm) Seed yield per fruit (mg) Number of seeds per fruit Germination (%) Electrical conductivity (μS/cm/g) NBLTM-3 0.33 2.00 3.45 130.00 76.50 77.50 54.95 NBLTM-4 0.13 4.00 1.90 228.50 43.50 75.50 68.81 NBLTM-16 0.27 5.00 2.65 323.50 44.50 37.50 48.66 NBLTM-17 0.13 3.00 2.95 165.00 34.00 64.50 31.79 NBLTM-23 0.13 3.00 2.25 293.50 44.50 79.50 51.68 SEm± 0.007 0.000 0.031 32.515 12.050 0.000 0.000 CD @ 5% 0.014 0.000 0.063 67.107 24.871 0.000 0.000 CD @ 1% 0.019 0.000 0.086 90.942 33.704 0.000 0.000 Table 1c. Performance of tomato testers for yield and yield contributing characteristics Tester Weight of fruits (g) TSS (Brix) Fruit length (cm) Fruit width(cm) Thickness of pericarp (mm) Size of locules (cm) Fruit firmness (lb/kg) NBLTM-21 52.80 6.05 4.25 5.40 0.55 2.65 8.85 NBLTM-24 (Ty-6) 50.55 4.45 4.65 4.45 0.78 2.65 8.67 NBLTM-26 (Ty-2 and Ty-3) 81.55 5.50 4.50 5.45 0.48 2.25 5.18 NBLTM-28 (Ty-2) 100.05 6.20 6.25 5.55 0.88 2.75 7.64 NBLTM-29 (Ty-2, Ty-3 and Ty-5) 67.68 5.45 5.50 5.20 0.66 2.45 6.38 SEm± 2.517 0.035 0.068 0.122 0.0168 0.0566 0.263 CD @ 5% 5.195 0.073 0.139 0.251 0.0347 0.1169 0.543 CD @ 1% 7.039 0.099 0.189 0.340 0.0471 0.1584 0.735 Table 1d. Performance of tomato testers for yield and yield contributing characteristics Tester Size at blossom end (mm) Number of locules Length of fruit stalk (cm) Seed yield per fruit (mg) Number of seeds per fruit Germination (%) Electrical conductivity (μS/cm/g) NBLTM-21 0.265 6.0 2.60 239.50 63.00 77.50 47.34 NBLTM-24 (Ty-6) 0.190 4.0 2.65 198.50 42.50 47.50 44.31 NBLTM-26 (Ty-2 and Ty-3) 0.215 4.0 2.55 220.00 33.50 75.50 48.72 NBLTM-28 (Ty-2) 0.625 2.0 2.90 144.00 46.00 94.50 33.60 NBLTM-29 (Ty-2, Ty-3 and Ty-5) 0.245 3.0 2.40 194.50 42.50 78.50 69.38 SEm± 0.007 0.000 0.031 32.515 12.050 0.000 0.000 CD @ 5% 0.014 0.000 0.063 67.107 24.871 0.000 0.000 CD @ 1% 0.019 0.000 0.086 90.942 33.704 0.000 0.000 Table 1e. Performance of tomato parental cross (hybrids) for yield and yield contributing characteristics Weight of fruits (g) Total Soluble solids (Brix) Fruit length (cm) Fruit width (cm) Thickness of pericarp (cm) Size of locules (cm) Fruit firmness (lb/kg) Size at blossom end (mm) NBLTM-3×NBLTM-21 96.80 3.95 4.55 4.15 0.78 3.45 11.74 0.13 NBLTM-3×NBLTM-24 75.80 4.5 6.15 4.10 0.80 2.65 11.80 0.19 NBLTM-3×NBLTM-26 67.30 5.25 5.22 4.55 0.72 3.45 6.08 0.16 NBLTM-3×NBLTM-28 64.95 4.75 5.74 3.55 0.63 2.45 5.31 0.09 NBLTM-3×NBLTM-29 53.90 4.25 5.09 4.15 0.47 1.90 6.10 0.19 NBLTM-4×NBLTM-21 97.75 6.25 4.25 5.86 0.88 3.15 6.92 0.09 NBLTM-4×NBLTM-24 74.55 6.00 5.15 4.62 1.15 3.55 7.03 0.09 NBLTM-4×NBLTM-26 67.85 4.55 4.75 3.59 1.15 4.05 8.78 0.11 NBLTM-4×NBLTM-28 106.95 3.95 4.88 6.32 1.25 3.95 10.24 0.14 NBLTM-4×NBLTM-29 44.05 3.35 3.52 4.22 0.85 1.30 5.63 0.11 NBLTM-16×NBLTM-21 69.50 5.15 3.60 5.45 0.58 2.15 9.05 0.11 NBLTM-16×NBLTM-24 115.20 4.45 5.83 6.11 0.72 1.90 9.03 0.16 NBLTM-16×NBLTM-26 138.50 5.25 6.43 7.89 0.58 1.90 8.08 0.10 NBLTM-16×NBLTM-28 116.20 5.55 6.62 7.74 0.56 2.25 9.89 0.19 NBLTM-16×NBLTM-29 111.65 5.45 5.59 6.63 0.59 2.05 6.11 0.15 NBLTM-17×NBLTM-21 48.80 4.30 5.53 4.59 0.78 3.45 10.74 0.11 NBLTM-17×NBLTM-24 45.90 3.55 4.35 3.75 0.36 1.95 9.24 0.12 NBLTM-17×NBLTM-26 80.60 4.10 5.30 4.27 0.41 2.35 10.89 0.11 NBLTM-17×NBLTM-28 45.50 4.20 5.19 4.39 0.37 2.35 7.10 0.12 NBLTM-17×NBLTM-29 43.00 4.20 3.45 2.30 0.47 1.15 9.08 0.11 NBLTM-23×NBLTM-21 51.20 4.95 3.32 3.10 0.43 1.25 6.34 0.16 NBLTM-23×NBLTM-24 40.70 4.05 3.25 3.40 0.41 2.05 5.69 0.16 NBLTM-23×NBLTM-26 45.55 4.10 3.31 3.55 0.39 2.15 8.32 0.18 NBLTM-23×NBLTM-28 38.40 3.95 2.82 3.30 0.36 1.80 5.97 0.16 NBLTM-23×NBLTM-29 72.90 4.90 4.15 4.55 0.41 1.95 7.32 0.18 Table 1f. Performance of tomato parental crosses (hybrids) for yield and yield contributing characteristics of tomato Number of locules Length of fruit stalk (cm) Seed yield per fruit (g) Number of seeds per fruit Seed germination (%) Electrical conductivity (μS/cm/g) NBLTM-3×NBLTM-21 3.00 3.20 330 92.00 81.50 33.17 NBLTM-3×NBLTM-24 3.00 2.45 235 97.00 85.50 26.49 NBLTM-3×NBLTM-26 2.00 2.75 195 44.50 84.50 28.76 NBLTM-3×NBLTM-28 2.00 3.15 85 70.00 80.50 63.58 NBLTM-3×NBLTM-29 2.00 2.80 100 24.50 87.50 48.36 NBLTM-4×NBLTM-21 2.00 2.45 355 107.00 84.50 25.65 NBLTM-4×NBLTM-24 3.00 2.45 320 100.50 75.50 40.17 NBLTM-4×NBLTM-26 3.00 2.40 140 89.00 76.50 34.51 NBLTM-4×NBLTM-28 3.00 2.75 390 124.50 87.50 23.48 NBLTM-4×NBLTM-29 3.00 2.25 140 24.00 82.50 21.27 NBLTM-16×NBLTM-21 4.00 2.45 275 114.50 72.50 19.83 NBLTM-16×NBLTM-24 2.00 2.65 290 125.00 71.50 19.72 NBLTM-16×NBLTM-26 6.00 2.95 305 166.50 70.50 22.26 NBLTM-16×NBLTM-28 5.00 2.85 290 86.00 83.50 21.72 NBLTM-16×NBLTM-29 4.00 2.85 210 63.50 74.50 25.22 NBLTM-17×NBLTM-21 3.00 2.65 135 59.00 88.50 18.42 NBLTM-17×NBLTM-24 4.00 2.85 146 63.00 87.50 24.10 NBLTM-17×NBLTM-26 3.00 2.75 110 42.50 84.50 29.90 NBLTM-17×NBLTM-28 2.00 2.95 120 38.00 86.50 23.82 NBLTM-17×NBLTM-29 2.00 2.75 80 31.50 87.50 26.85 NBLTM-23×NBLTM-21 4.00 2.55 295 115.50 73.50 25.67 NBLTM-23×NBLTM-24 3.00 2.65 150 49.00 76.50 27.41 NBLTM-23×NBLTM-26 3.00 2.65 115 64.00 70.50 22.67 NBLTM-23×NBLTM-28 3.00 2.45 215 83.00 77.50 24.11 NBLTM-23×NBLTM-29 5.00 2.55 195 63.50 76.50 27.01 Table 2a. ANOVA for combining ability Source of variation DF Weight of fruits TSS Fruit length Fruit width Thickness of pericarp Size of locules Fruit firmness Size at blossom end Replications 1 18.422 0.017 0.006 0.001 0.000 0.129** 0.042 0.000 Treatments 34 1467.23** 1.161** 2.169** 3.233** 0.104** 1.135** 8.583** 0.019** Parents 9 932.99** 1.191** 1.723** 0.635** 0.030** 0.636** 9.786** 0.044** Parents vs. Crosses 1 2268.90** 2.413** 1.884** 8.352** 0.009 0.132* 17.155** 0.187** Crosses 24 1634.16** 1.098** 2.347** 3.993** 0.136** 1.365** 8.130** 0.002** Lines 4 5906.65** 1.785 7.668** 16.556** 0.648** 3.1 9.667 0.005* Testers 4 295.99 0.431 1.472 0.816 0.028 1.961 6.957 0.001 Lines × Testers 16 900.584** 1.093** 1.236** 1.647** 0.036** 0.782** 8.038** 0.002* Error 34 53.513 0.0.13 0.106 0.06 0.001 0.014 0.465 0.00 Table 2b. ANOVA for combining ability Source of variation DF Number of locules Length of fruit stalk Seed yield/fruit Number of seeds/fruit Germination Electrical conductivity Replications 1 0.000 0.302** 30.229 248.914 17.5** 0.700** Treatments 34 2.538 0.172** 14322.92** 2308.65** 238.867 420.461** Parents 9 3.200** 0.352** 7596.37 343.05 560.467** 311.137** Parents vs. Crosses 1 2.766** 0.048* 337.423 13245.75** 1289.286** 6763.008** Crosses 24 2.28 0.110** 17428.11** 2590.042** 74.5 197.184** Lines 4 5.28 0.283 41736.28** 5878.9 300.800** 510.06 Testers 4 0.28 0.074 26606.28 4544.65 49.6 65.761 Lines × Testers 16 2.03 0.076** 9056.53 1279.18 24.15 151.821** Error 34 0.00 0.005 3785.2 550.356 0.000 0.000 Table 3a. Estimation of gca effects on lines of tomato Lines Weight of fruits (g) TSS (Brix) Fruit length (cm) Fruit width (cm) Thickness of pericarp (mm) Size of locules (cm) Fruit firmness (lb/kg) NBLTM-3 -0.790 -0.114** 0.629** -0.545** 0.036** 0.356** 0.106 NBLTM-4 5.690* 0.236** -0.212** 0.276* 0.411** 0.776** -0.380 NBLTM-16 37.670** 0.586** 0.891** 2.121** -0.037* -0.374** 0.332 NBLTM-17 -19.780** -0.514** 0.044 -0.785** -0.166** -0.174** 1.312** NBLTM-23 -22.790** -0.194** -1.353** -1.065** -0.245** -0.584** -1.371** SEm± 1.7797 0.025 0.048 0.086 0.012 0.040 0.186 CD @ 5% 3.673 0.052 0.098 0.178 0.025 0.083 0.384 CD @ 1% 4.978 0.07 0.133 0.241 0.033 0.112 0.520 Table 3 b. Estimation of gca effects on lines of tomato Lines Size at blossom end (mm) Number of locules Length of fruit stalk (cm) Seed yield per fruit (mg) Number of seeds per fruit Germination (%) Electrical conductivity (μS/cm/g) NBLTM-3 0.014** -0.760** 0.182** -19.840 -11.90 3.60** 11.906** NBLTM-4 -0.027** -0.360** -0.228** 60.160 11.50 1.00** 0.850** NBLTM-16 0.003 1.040** 0.062* 65.160* 33.60** -5.80** -6.416** NBLTM-17 -0.020** -0.360** 0.102** -90.640* -30.70 6.60** -3.548** NBLTM-23 0.028** 0.440** -0.118** -14.840 -2.50 -5.40** -2.792** SEm± 0.0049 0.000 0.0217 22.99 8.521 0.000 0.000 CD @ 5% 0.0101 0.000 0.048 47.45 17.586 0.000 0.000 CD @ 1% 0.0137 0.000 0.067 64.306 23.83 0.000 0.000 Table 3 c. Estimation of g ca effects on tester of tomato Tester Weight of fruits (g) TSS (Brix) Fruit length (cm) Fruit width (cm) Thickness of pericarp (mm) Size of locules (cm) Fruit firmness (lb/kg) NBLTM-21 0.270 0.336** -0.471** -0.015 0.043* 0.266** 0.858** NBLTM-24 -2.110 -0.144** 0.224** -0.250* 0.045** -0.004 0.459 NBLTM-26 7.420** 0.066 0.281** 0.125 0.006 0.356** 0.332 NBLTM-28 1.860 -0.104** 0.327** 0.416** -0.011 0.136* -0.398 NBLTM-29 -7.440** -0.154** -0.362** -0.274* -0.084** -0.754** -1.252** SEm± 1.7797 0.025 0.048 0.086 0.012 0.040 0.186 CD @ 5% 3.673 0.052 0.098 0.178 0.025 0.083 0.384 CD @ 1% 4.978 0.07 0.133 0.241 0.033 0.112 0.520 Table 3d. Estimation of gca effects on tester of tomato Tester Size at blossom end (mm) Number of locules Length of fruit stalk (cm) Seed yield per fruit (mg) Number of seeds per fruit Germination (%) Electrical conductivity (μS/cm/g) NBLTM-21 -0.017* 0.040** -0.028 69.160* 20.100 -0.200** -3.618** NBLTM-24 0.004 -0.160** -0.078* 19.360 9.400 -1.000** -0.588** NBLTM-26 -0.005 0.240** 0.012 -35.840 3.800 -3.000** -0.546** NBLTM-28 0.005 -0.160** 0.142** 11.160 2.800 2.800** 3.176** NBLTM-29 0.011 0.040** -0.048 -63.840 -36.100** 1.400** 1.576** SEm± 0.0049 0.000 0.0217 22.99 8.521 0.000 0.000 CD @ 5% 0.0101 0.000 0.048 47.45 17.586 0.000 0.000 CD @ 1% 0.0137 0.000 0.067 64.306 23.83 0.000 0.000 Table 4a. Overall general combining ability status of testers of tomato Testers Total rank Overall GCA status NBLTM-21 41 H NBLTM-24 45 H NBLTM-26 37 H NBLTM-28 42 H NBLTM-29 60 L Final norm: 45 Table 4b. Overall general combining ability status of lines of tomato Lines Total rank Overall GCA status NBLTM-3 39 H NBLTM-4 42 H NBLTM-16 30 H NBLTM-17 52 L NBLTM-23 61 L Final norm: 44.8 H: High overall general combiner, L: Low overall general combiner Note: Arranged data in ascending order Table 5 a. Estimates of specific combining ability effects (sca) in crosses for yield and yield contributing characteristics of tomato Hybrids Weight of fruits (g) TSS (Brix) Fruit length (cm) Fruit width (cm) Thickness of pericarp (mm) Size of locules (cm) Fruit firmness (lb/kg) Size at blossom end (mm) NBLTM-3×NBLTM-21 24.780** -0.856** -0.330* 0.065 0.052 0.404** 2.672** -0.009 NBLTM-3×NBLTM-24 6.160 -0.176* 0.575** 0.250 0.075* -0.126 3.136** 0.035* NBLTM-3×NBLTM-26 -11.870** 0.714** -0.407** 0.325 0.039 0.314* -2.457** 0.014 NBLTM-3×NBLTM-28 -8.660 0.384** 0.067 -0.966** -0.044 -0.466** -2.497** -0.066** NBLTM-3×NBLTM-29 -10.410 -0.066 0.096 0.324 -0.121** -0.126 -0.853 0.028 NBLTM-4×NBLTM-21 19.250** 1.094** 0.211 0.954** -0.223** -0.316* -1.657** -0.003 NBLTM-4×NBLTM-24 -1.570 1.324** 0.416** -0.056 0.050 0.354** -1.153 -0.024 NBLTM-4×NBLTM-26 -17.800** -0.336** -0.041 -1.456** 0.089 0.494** 0.724 0.010 NBLTM-4×NBLTM-28 26.860** -0.766** 0.038 0.978** 0.206** 0.614** 2.919** 0.025 NBLTM-4×NBLTM-29 -26.740** -1.316** -0.623 -0.422 -0.121** -1.146** -0.832 -0.006 NBLTM-16×NBLTM-21 -40.980** -0.356** -1.542** -1.301** -0.075* -0.166 -0.239 -0.008 NBLTM-16×NBLTM-24 7.100 -0.576** -0.007 -0.406 0.073 -0.146 0.145 0.011 NBLTM-16×NBLTM-26 20.870** 0.014 0.536** 1.004** -0.038 -0.506** -0.683 -0.040* NBLTM-16×NBLTM-28 4.130 0.484** 0.675** 0.563* -0.031 0.064 1.852** 0.045** NBLTM-16×NBLTM-29 8.880 0.434** 0.339* 0.138 0.072 0.754** -1.074 -0.006 NBLTM-17×NBLTM-21 -4.230 -0.106 1.240** 0.745** 0.254** 0.934** 0.476 0.015 NBLTM-17×NBLTM-24 -4.750 -0.376** -0.640** 0.140 -0.158** -0.296* -0.630 -0.006 NBLTM-17×NBLTM-26 20.420** -0.036 0.253 0.280 -0.079* -0.256* 1.152 0.003 NBLTM-17×NBLTM-28 -9.120 0.234** 0.102 0.119 -0.097* -0.036 -1.918** 0.003 NBLTM-17×NBLTM-29 -2.320 0.284** -0.954** -1.286** 0.081* -0.346** 0.921 -0.013 NBLTM-23×NBLTM-21 1.180 0.224** 0.422** -0.465 -0.007 -0.856** -1.251* 0.007 NBLTM-23×NBLTM-24 -6.940 -0.196* -0.343* 0.070 -0.039 0.214 -1.497* -0.014 NBLTM-23×NBLTM-26 -11.620* -0.356** -0.340* -0.155 -0.010 -0.046 1.265* 0.015 NBLTM-23×NBLTM-28 -13.210* -0.336** -0.881** -0.696* -0.033 -0.176 -0.355 -0.005 NBLTM-23×NBLTM-29 30.590** 0.664** 1.143** 1.244** 0.090* 0.864** 1.839** -0.001 SE±m 3.9794 0.0579 0.1067 0.1923 0.0266 0.0895 0.4155 0.0109 CD (P=0.05) 8.2132 0.1154 0.2201 0.3968 0.0549 0.1848 0.8576 0.0225 CD (P=0.01) 11.1303 0.1564 0.2983 0.5378 0.0745 0.2504 1.1622 0.0306 Table 5 b. Estimates of specific combining ability effects (sca) in crosses for yield and yield contributing characteristics of tomato Hybrids Number of locules Length of fruit stalk (cm) Seed yield / fruit (mg) Number of seeds /fruit Germination (%) Electrical conductivity (μS/cm/g) NBLTM-3×NBLTM-21 0.560** 0.358** 71.840 6.300 -2.200** -3.284** NBLTM-3×NBLTM-24 0.760** -0.342** 26.640 22.000 2.600** -12.994** NBLTM-3×NBLTM-26 -0.640** -0.132 41.840 -24.900 3.600** -10.766** NBLTM-3×NBLTM-28 -0.240** 0.138* -115.160 1.600 -6.200** 20.322** NBLTM-3×NBLTM-29 -0.440** -0.022 -25.160 -5.000 2.200** 6.712** NBLTM-4×NBLTM-21 -0.840** 0.018 16.840 -2.100 3.400** 0.252** NBLTM-4×NBLTM-24 0.360** 0.068 31.640 2.100 -4.800** 11.742** NBLTM-4×NBLTM-26 -0.040** -0.072 -93.160 -3.800 -1.800** 6.040** NBLTM-4×NBLTM-28 0.360** 0.148* 109.840 32.700 3.400** -8.712** NBLTM-4×NBLTM-29 0.160** -0.162* -65.160 -28.900 -0.200** -9.322** NBLTM-16×NBLTM-21 -0.240** -0.272** -68.160 -16.700 -1.800** 1.698** NBLTM-16×NBLTM-24 -2.040** -0.022 -3.360 4.500 -2.000** -1.442** NBLTM-16×NBLTM-26 1.560** 0.188** 66.840 51.600 -1.000** 1.056** NBLTM-16×NBLTM-28 0.960** -0.042 4.840 -27.900 6.200** -3.206** NBLTM-16×NBLTM-29 -0.240** 0.148* -0.160 -11.500 -1.400** 1.894** NBLTM-17×NBLTM-21 0.160** -0.112 -52.360 -7.900 1.800** -2.580** NBLTM-17×NBLTM-24 1.360** 0.138* 8.440 6.800 1.600** 0.070** NBLTM-17×NBLTM-26 -0.040** -0.052 27.640 -8.100 0.600** 5.828** NBLTM-17×NBLTM-28 -0.640** 0.018 -9.360 -11.600 -3.200** -3.974** NBLTM-17×NBLTM-29 -0.840** 0.008 25.640 20.800 -0.800** 0.656** NBLTM-23×NBLTM-21 0.360** 0.008 31.840 20.400 -1.200** 3.914** NBLTM-23×NBLTM-24 -0.440** 0.158* -63.360 -35.400 2.600** 2.624** NBLTM-23×NBLTM-26 -0.840** 0.068 -43.160 -14.800 -1.400** -2.158** NBLTM-23×NBLTM-28 -0.440** -0.262** 9.840 5.200 -0.200** -4.440** NBLTM-23×NBLTM-29 1.360** 0.028 64.840 24.600 0.200** 0.060** SEm± 0.000 0.0486 51.410 19.0531 0.000 0.000 CD (P=0.05) 0.000 0.1002 106.106 39.3240 0.000 0.000 CD (P=0.01) 0.000 0.1358 143.792 53.2908 0.000 0.000 Table 6. Overall specific combining ability status of lines and testers of tomato Tester Lines NBLTM-3 (H) NBLTM-4 (H) NBLTM-16 (H) NBLTM-17 (L) NBLTM-23 (L) NBLTM-21 (H) 209 (L) 200 (L) 168 (H) 169 (H) 166 (H) NBLTM-24 (H) 206 (L) 163 (H) 141 (H) 164 (H) 121 (H) NBLTM-26 (H) 177 (L) 161 (H) 202 (L) 152 (H) 142 (H) NBLTM-28 (H) 162 (H) 268 (L) 185 (L) 155 (H) 164 (H) NBLTM-29 (L) 135 (H) 161 (H) 146 (H) 170 (H) 226 (L) Final norm : 172.52 H: High overall general combiner L: Low overall general combiner Note : Arranged the data in Ascending order Table 7. Estimates of variance components for different traits of tomato Characteristics σ 2 GCA σ 2 SCA σ 2 GCA/ σ 2 SCA Weight of the fruits 27.509 434.456 0.0633 Total soluble solids 0.0002 0.5435 0.0004 Fruit length 0.0417 0.6067 0.0687 Fruit width 0.0880 0.7886 0.1116 Thickness of pericarp 0.0038 0.0171 0.2222 Size of locules 0.0219 0.3828 0.0572 Fruit firmness 0.0034 3.8464 0.0009 Size at blossom end 0.0000 0.0007 0.0000 Number of locules 0.0094 1.0150 0.0093 Length of fruit stalk 0.0013 0.0356 0.0365 Seed yield/fruit 313.934 1885.275 0.1665 Number of seeds/fruit 49.1575 276.5667 0.1777 Germination 1.8881 12.0750 0.1564 Electrical conductivity 1.7011 75.9104 0.0224 Table 8. Proportional contribution of lines, testers and line × tester interaction towards total variance(in percentage) in tomato Characteristics Line Tester Line × Tester Weight of the fruits 60.24 3.02 36.74 Total soluble solids 27.09 6.55 66.37 Fruit length 54.44 10.45 35.11 Fruit width 69.10 3.41 27.50 Thickness of pericarp 79.21 3.39 17.41 Size of locules 37.87 23.95 38.18 Fruit firmness 19.82 14.26 65.92 Size at blossom end 41.13 9.23 49.64 Number of locules 38.60 2.05 59.36 Length of fruit stalk 42.86 11.20 45.98 Seed yield/fruit 39.91 25.44 34.64 Number of seeds/fruit 37.83 29.24 32.93 Germination 67.29 11.10 21.61 Electrical conductivity 43.11 5.56 51.33 Table 9 a. Estimates of mid-parent, better parent and standard check heterosis of 25 crosses for weight of fruit, total soluble solids and fruit length of tomato SCH Weight of fruits Total Soluble solids Fruit length Mid Better Standard Mid Better Standard Mid Better Standard NBLTM-3×NBLTM-21 113.57* 83.33* 115.75* -24.76* -34.71* -11.24* -13.33* -27.20* -27.20* NBLTM-3×NBLTM-24 71.49* 49.95* 100.26* -6.74* -6.74* -6.74* 12.84* -1.60 -1.60 NBLTM-3×NBLTM-26 12.73 -17.47 77.81* 5.53* -4.55* 17.98* -2.79 -16.40* -16.40* NBLTM-3×NBLTM-28 -5.80 -35.08* 71.6* -10.80* -23.39* 6.74* -8.08* -8.08* -8.08* NBLTM-3×NBLTM-29 2.16 -20.35 42.4* -14.14* -22.02* -4.49 -13.45* -18.64* -18.64* NBLTM-4×NBLTM-21 108.87* 85.13* 158.26* 22.55* 3.31 40.45* -0.58 -1.16 -32.00 NBLTM-4×NBLTM-24 63.22* 47.48* 96.96* 39.53* 34.83* 34.83* 15.08* 10.75* -17.60* NBLTM-4×NBLTM-26 10.91 -16.80 79.26* -5.70* -17.27* 2.25 7.95 5.56 -24.00* NBLTM-4×NBLTM-28 51.86* 6.90 182.56* -23.67* -36.29* -11.24* -7.58* -22.00* -22.00* NBLTM-4×NBLTM-29 -18.78 -34.91* 16.38 -30.21* -38.53* -24.72* -28.06* -35.91* -43.40* NBLTM-16×NBLTM-21 53.42* 31.63* 83.62* -1.90 -14.88* 15.73* -18.18* -20.88* -42.40* NBLTM-16×NBLTM-24 160.78* 127.89* 204.36* 0.00 0.00 0.00 26.74* 25.38* -6.72 NBLTM-16×NBLTM-26 132.09* 69.83* 265.92* 5.53* -4.55* 17.98* 42.10* 41.32* 2.88 NBLTM-16×NBLTM-28 68.59* 16.14* 207* 4.23* -10.48* 24.72* 22.50* 5.84 5.84 NBLTM-16×NBLTM-29 111.71* 64.98* 194.98* 10.10* 0.00 22.47* 11.24* 1.64 -10.56* NBLTM-17×NBLTM-21 -4.08 -7.58 28.93 -15.69* -28.93* -3.37 3.46 -14.19* -11.44* NBLTM-17×NBLTM-24 -7.74 -9.20 21.27 -17.44* -20.22* -20.22* -21.62* -32.56* -30.40* NBLTM-17×NBLTM-26 23.52* -1.16 112.95* -15.03* -25.45* -7.87* -3.20 -17.83* -15.20* NBLTM-17×NBLTM-28 -38.93* -54.52* 20.21 -18.84* -32.26* -5.62* -18.19* -19.46* -16.88* NBLTM-17×NBLTM-29 -26.26* -36.46* 13.61 -12.50* -22.94* -5.62* -42.26* -46.51* -44.80* NBLTM-23×NBLTM-21 -23.67* -37.06* 35.27 -11.21* -18.18* 11.24* -20.95* -21.88* -46.88* NBLTM-23×NBLTM-24 -38.29* -49.97* 7.53 -15.18* -20.59* -8.99* -26.14* -30.11* -48.00* NBLTM-23×NBLTM-26 -44.08* 44.14* 20.34 -22.64* -25.45* -7.87* -23.47* -26.44* -47.04* NBLTM-23×NBLTM-28 -57.66* 61.62* 1.45 -30.09* -36.29* -11.24* -45.87 -54.96* -54.96* NBLTM-23×NBLTM-29 -2.16 10.39 92.60* -7.11* -10.09* 10.11* -13.99* -24.55* -33.60* Table 9 b. Estimates of mid-parent, better parent and standard check heterosis of 25 crosses for fruit width, thickness of pericarp and size of locules in tomato SCH Fruit width Thickness of pericarp Size of locules Mid Better Standard Mid Better Standard Mid Better Standard NBLTM-3×NBLTM-21 -19.81* -23.15* -16.16* 17.42* 0.00 0.00 6.15 -10.39* -10.39* NBLTM-3×NBLTM-24 -12.77 -17.17* -17.17* 3.23 3.23 3.23 -18.46* 31.17* -31.17* NBLTM-3×NBLTM-26 -12.50 -16.51* -8.08 16.00* -6.45 -6.45 13.11* -10.39* -10.39* NBLTM-3×NBLTM-28 -32.38* -36.04* -28.28* -24.24* -28.57* -19.35* -25.76* -36.36* -36.36* NBLTM-3×NBLTM-29 -18.23* -20.19* -16.16* -33.80* -38.71* -38.71* -39.68* -50.65* -50.65* NBLTM-4×NBLTM-21 3.26 -1.51 18.38* 37.80* 20.69* 12.90 23.53* 18.87* -18.18* NBLTM-4×NBLTM-24 -11.25 -22.44* -6.77 53.33* 48.39* 48.39* 39.22* 33.96* -7.79 NBLTM-4×NBLTM-26 -37.02* -39.66* -27.47* 91.67* 58.62* 48.39* 72.34* 65.31* 5.19 NBLTM-4×NBLTM-28 9.83 6.13 27.58* 56.25* 42.86* 61.29* 51.92* 43.64* 2.60 NBLTM-4×NBLTM-29 -24.22* -28.99* -14.65 22.74* 17.24* 9.68 -46.94* -46.94* -66.23* NBLTM-16×NBLTM-21 -8.79 -16.79* 10.10 0.00 -4.96 -25.81* 0.00 -18.87* -44.16* NBLTM-16×NBLTM-24 11.09 -6.72 23.43* 5.07 -6.45 -6.45 -11.63 -28.30* -50.65* NBLTM-16×NBLTM-26 31.58* 20.53* 59.49* 6.48 -4.96 -25.81* -2.56 -15.56 -50.65* NBLTM-16×NBLTM-28 28.02* 18.24* 56.46* -23.65* -35.43* -27.10* 2.27 -18.18* -41.56* NBLTM-16×NBLTM-29 12.85* 1.22 33.94* -5.93 -9.85 -23.23* 0.00 -16.33* -46.75* NBLTM-17×NBLTM-21 -12.99* -15.00* -7.27 27.05* 14.81 0.00 43.75* 30.19* -10.39* NBLTM-17×NBLTM-24 -21.87* -27.18* -24.24* -49.66* -52.90* -52.90* -18.75* -26.42* -49.35* NBLTM-17×NBLTM-26 -19.53* -21.74* -13.84 -29.57* -40.00 -47.74* 6.82 4.44 -38.96* NBLTM-17×NBLTM-28 -17.85* -20.81* -11.21 -52.26* -57.71* -52.26* -4.08 -14.55* -38.96* NBLTM-17×NBLTM-29 -55.56 -55.77* -53.54* -28.84* -29.63* -38.71* -50.00* -53.06* -70.13* NBLTM-23×NBLTM-21 -42.86* -43.12* -37.37* -22.32* -24.35* -43.87* -50.00* -52.83* -67.53* NBLTM-23×NBLTM-24 -31.31 -37.61* -31.31 -40.00* -47.74* -47.74* -18.00* -22.64 -46.75* NBLTM-23×NBLTM-26 -34.86* -34.86* -28.28* -24.76* -31.30* -49.03* -6.52 -8.51 -44.16* NBLTM-23×NBLTM-28 -40.00* -40.54* -33.33* -51.03* -59.43* -54.19* -29.41* -34.55* -53.25* NBLTM-23×NBLTM-29 -14.55 -16.51* -8.08 -34.41* -38.64* -47.74* -18.75 -20.41* -49.35* Table 9 c. Estimates of mid-parent, better parent and standard check heterosis of 25 crosses for fruit firmness, size at blossom end and number of locules in tomato SCH Fruit firmness Size at blossom end Number of locules Mid Better Standard Mid Better Standard Mid Better Standard NBLTM-3×NBLTM-21 38.26* 32.60* 44.43* -57.60* -61.54* -61.54* -25.00* -50.00* 50.00* NBLTM-3×NBLTM-24 40.52* 36.10* 45.23* -26.21* -41.54* -41.54* 0.00 -25.00* 50.00* NBLTM-3×NBLTM-26 -8.61 -25.17* -25.17* -40.74* -50.77* -50.77* -33.33* -50.00* 0.00 NBLTM-3×NBLTM-28 -32.61* -34.65* -34.65* -80.05* -85.60* -72.31* 0.00 0.00 0.00 NBLTM-3×NBLTM-29 -15.89 -24.92* -24.92* -33.33* -41.54* -41.54* -20.00* -33.33* 0.00 NBLTM-4×NBLTM-21 -29.78* -36.28* -14.83 -53.85* -66.04* -72.31* -60.00* -66.67* 0.00 NBLTM-4×NBLTM-24 -28.06* -35.31* -13-54 -42.86* -52.63* -72.31* -25.00* -25.00* 50.00* NBLTM-4×NBLTM-26 9.41 -19.20* 8.00 -32.35* -46.51* -64.62* -25.00* -25.00* 50.00* NBLTM-4×NBLTM-28 10.73 -5.71 26.03* -62.67* -77.60* -56.92* 0.00 -25.00* 50.00* NBLTM-4×NBLTM-29 -34.63* -48.11* -30.65* -37.84* -53.06* -64.62* -14.29* -25.00* 50.00* NBLTM-16×NBLTM-21 56.30* 2.26 11.38 -57.01* -57.41* -64.62* -27.27* -33.33* 100.00* NBLTM-16×NBLTM-24 58.51* 4.21 11.20 -32.61* -42.59* -52.31* -55.56* -60.00* 0.00 NBLTM-16×NBLTM-26 104.30* 55.98* -0.55 -60.82* -64.81* -70.77* 33.33* 20.00* 200.00* NBLTM-16×NBLTM-28 90.74* 29.47* 21.66* -57.54* -69.60* -41.54* 42.86* 0.00 150.00* NBLTM-16×NBLTM-29 34.03* -4.31 -24.86* -43.69* -46.30* -55.38* 0.00 -20.00* 100.00* NBLTM-17×NBLTM-21 33.64* 21.41* 32.25* -1.03* -56.60* -64.62* -33.33* -50.00* 50.00* NBLTM-17×NBLTM-24 16.23 6.57 13.72 -26.98* -39.47* -64.62* 14.29* 0.00 100.00* NBLTM-17×NBLTM-26 75.58* 50.69* 34.09* -32.35* -46.51* -64.62* -14.29* -25.00* 50.00* NBLTM-17×NBLTM-28 -4.54 -7.07 -12.68 -66.67* -80.00* -61.54* -20.00* -33.33* 0.00 NBLTM-17×NBLTM-29 33.43* 25.59* 11.75 -37.84* -53.06* -64.62* -33.33* -33.33* 0.00 NBLTM-23×NBLTM-21 -22.77* -28.42* -22.03* -20.51* -41.51* -52.31* -11.11* -33.33* 100.00* NBLTM-23×NBLTM-24 -29.86* -34.37* -29.97* -1.59 -18.42 -52.31* -14.29* -25.00* 50.00* NBLTM-23×NBLTM-26 30.74* 10.19 2.46 2.94 -18.60 -46.15* -14.29* -25.00* 50.00* NBLTM-23×NBLTM-28 -21.33* -21.74* -26.46* -56.00 -73.60* -49.23* 20.00* 0.00 50.00* NBLTM-23×NBLTM-29 4.99 -3.18 -9.97 -5.41 -28.57* -46.15* 66.67* 66.67* 150.00* Table 9 d. Estimates of mid-parent, better parent and standard check heterosis of 25 crosses for length of fruit stalk, seed yield per fruitand number of seeds per fruit in tomato SCH Length of fruit stalk Seed yield per fruit Number of seeds per fruit Mid Better Standard Mid Better Standard Mid Better Standard NBLTM-3×NBLTM-21 5.79* -7.25* -7.25* 78.62 37.79 153.85 31.90 20.26 20.26 NBLTM-3×NBLTM-24 -19.67* -28.99* -28.99* 43.07 18.39 80.77 63.03 26.80 26.80 NBLTM-3×NBLTM-26 -8.33* -20.29* -20.29* 11.43 -11.36 50.00 -19.09 -41.83 -41.83 NBLTM-3×NBLTM-28 -0.79 -8.70* -8.70* -37.96 -40.97 -34.62 14.29 -8.50 -8.50 NBLTM-3×NBLTM-29 -4.27 -18.84* -18.84* -38.37 -48.59 -23.08 -58.82 -67.97 67.97 NBLTM-4×NBLTM-21 8.89* -5.77 -28.99* 51.71 48.23 173.08* 100.94 69.84 39.87 NBLTM-4×NBLTM-24 7.69* -7.55* -28.99* 49.88 40.04 146.15 133.72 131.03. 31.37 NBLTM-4×NBLTM-26 7.87* -5.88 -30.43* -37.57 -38.73 7.69 131.17 104.60 16.34 NBLTM-4×NBLTM-28 14.58* -5.17 -20.29* 109.40* 70.68 200.00 178.21* 170.65* 62.75 NBLTM-4×NBLTM-29 4.65 -6.25 -34.78* -33.81 -38.73 7.69 -44.19 -44.83 -68.63 NBLTM-16×NBLTM-21 -6.67* -7.55* -28.99* -2.31 -14.99 111.54 113.02 81.75 49.67 NBLTM-16×NBLTM-24 0.00 0.00 -23.19* 11.11 -10.36 123.08 187.36* 180.90* 63.40 NBLTM-16×NBLTM-26 13.46* 11.32* -14.49* 12.24 -5.72 134.62 162.92* 274.16* 117.65* NBLTM-16×NBLTM-28 2.70 -1.72 -17.39* 24.06 -10.36 123.08 90.06 86.96 12.42 NBLTM-16×NBLTM-29 12.87* 7.55* -17.39* -18.92 -35.09 61.54 45.98 42.70 -16.99 NBLTM-17×NBLTM-21 -4.50 -10.17* -23.19* -33.25 -43.63 3.85 21.65 -6.35 -22.88 NBLTM-17×NBLTM-24 1.79 -3.39 -17.39* -19.67 -26.45 12.31 64.71 48.24 -17.65 NBLTM-17×NBLTM-26 0.00 -6.78* -20.29* -42.86 -50.00 -15.38 25.93 25.00 -44.44 NBLTM-17×NBLTM-28 0.85 0.00 -14.49* -22.33 -27.27 -7.69 -5.00 -17.39 -50.33 NBLTM-17×NBLTM-29 2.80 -6.78* -20.29* -55.49 -58.87 -38.46 -17.65 -25.88 -58.82 NBLTM-23×NBLTM-21 5.15 -1.92 -26.09* 10.69 0.51 126.92 114.88 83.33 50.98 NBLTM-23×NBLTM-24 8.16* 0.00 -23.19* -39.02 -48.89 15.38 12.64 10.11 -35.95 NBLTM-23×NBLTM-26 10.42* 3.92 -23.19* -55.21 -60.82 -11.54 64.10 43.82 -16.34 NBLTM-23×NBLTM-28 -4.85 15.52* -28.99* -1.71 -26.75 65.38 83.43 80.43 8.50 NBLTM-23×NBLTM-29 9.68* 6.65 -26.09* -20.08 -33.56 50.00 45.98 42.70 -16.99 Table 9 e.Estimates of mid-parent, better parent and standard check heterosis of 25 crosses for seed germination and electrical conductivity in tomato SCH Seed germination Electrical conductivity Mid Better Standard Mid Better Standard NBLTM-3×NBLTM-21 5.16* 5.16* 5.16* -35.15* -39.64 -39.64* NBLTM-3×NBLTM-24 36.80* 10.32* 10.32* -46.63* -51.79 -51.79* NBLTM-3×NBLTM-26 10.46* 9.03* 9.03* -44.52* -47.66 -47.66* NBLTM-3×NBLTM-28 -6.40* -14.81* 3.87* 43.60 15.71* 15.71* NBLTM-3×NBLTM-29 12.18* 11.46* 12.90* -22.21 -30.30* -11.99* NBLTM-4×NBLTM-21 10.46* 9.03* 9.03* -55.83 -62.72* -53.32* NBLTM-4×NBLTM-24 22.76* 0.00 -2.58* -28.98 -41.62* -26.90* NBLTM-4×NBLTM-26 1.32* 1.32* -1.29* -41.27 -49.85* -37.20* NBLTM-4×NBLTM-28 2.94* -7.41* 12.90* -54.15* -65.88* -57.27* NBLTM-4×NBLTM-29 7.14* 5.10* 6.45* -69.22* -69.54* -61.29* NBLTM-16×NBLTM-21 26.09* -6.45* -6.45* -58.69* -59.25* -63.91* NBLTM-16×NBLTM-24 68.24* 50.53* -7.74* -57.58* -59.47* -64.11* NBLTM-16×NBLTM-26 24.78* -6.62* -9.03* -54.28* -54.31* -59.49* NBLTM-16×NBLTM-28 26.52* -11.64* 7.74* -47.19* -55.36 -60.47* NBLTM-16×NBLTM-29 28.45* -5.10* -3.87* -57.27* -63.65* -54.10* NBLTM-17×NBLTM-21 24.65* 14.19* 14.19* -53.44 -61.09 -66.48** NBLTM-17×NBLTM-24 56.25* 35.66* 12.90* -36.66* -45.61 -56.14* NBLTM-17×NBLTM-26 20.71* 11.92* 9.03* -25.72* -38.63 45.59** NBLTM-17×NBLTM-28 8.81* -8.47* 11.61* -27.14* -29.11 -56.65* NBLTM-17×NBLTM-29 22.38* 11.46* 12.90* -46.92* -61.30 -51.14* NBLTM-23×NBLTM-21 -6.37* -7.55* -5.16* -48.15* -50.33 -53.28* Table 10. Over all heterotic status of crosses in tomato TESTER LINES NBLTM-3 (H) NBLTM-4 (H) NBLTM-16 (H) NBLTM-17 (L) NBLTM-23 (L) NBLTM-21 (H) 175 (L) 150 (H) 182 (L) 185 (L) 189 (L) NBLTM-24 (H) 125 (H) 117 (H) 117 (H) 155 (H) 199 (L) NBLTM-26 (H) 188 (L) 142 (H) 96 (H) 158 (H) 171 (H) NBLTM-28 (H) 235 (L) 165 (H) 147 (H) 216 (L) 204 (L) NBLTM-29 (L) 217 (L) 245 (L) 141 (H) 233 (L) 155 (H) Final norm : 172.28 H: High heterotic status L: Low heterotic status Note : Arranged the data in Ascending order Additional Declarations The authors declare potential competing interests as follows: Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5229104","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":363902020,"identity":"1936ee52-d2f5-4e08-8b3c-a8191c5a304d","order_by":0,"name":"Tejaswini","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/ElEQVRIiWNgGAWjYHCCBCCWYGCDcGyAmLHxAD71PKhaEtJAWhoIaUGx8TCYwqvFnr3h4cefbRZ5fAw8xh9//jhvt7b9MNCWGptonLbwHEiW5m2TKGZj4DGT5km4nbztTCJQy7G03AZcWiQSEqQZt0kktgG1MDMAtZgdAGphbDiMW4v8g+SfPyFajD/+SDiXbHb+IQEtEgxpErwQLQYSPAkH7MxuELLlTEKaNe8/oBZmtjJpnrTkBLMbQFsS8PiFvf1M8s0fZ+oS57c3b/74w8bO3ux8+sMHH2pscGoB2pMAoZkhVCJYZQJO5WB7DqBw7fEqHgWjYBSMghEJAIeFXA3y/pWCAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0001-9394-8228","institution":"university of agricultural sciences, bangalore","correspondingAuthor":true,"prefix":"","firstName":"","middleName":"","lastName":"Tejaswini","suffix":""}],"badges":[],"createdAt":"2024-10-09 04:13:37","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":true,"conflictsOfInterestStatement":true,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":true},"doi":"10.21203/rs.3.rs-5229104/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5229104/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":66337026,"identity":"0b4607a2-ca71-474e-8aad-d734bf75027e","added_by":"auto","created_at":"2024-10-10 14:51:37","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":28459,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eEstimates of variance components for different traits of tomato\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-5229104/v1/eb2e05a6213ea3987df499c0.png"},{"id":66337027,"identity":"9610ba67-a4d0-4d4f-8761-768f906c3063","added_by":"auto","created_at":"2024-10-10 14:51:37","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":30312,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eProportional contribution of lines, testers and line × tester interaction towards total variance in tomato\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-5229104/v1/28bf2d8fe160a2fdebc04cce.png"},{"id":66337685,"identity":"4a11406d-21cd-46a9-80b8-75ea625980c3","added_by":"auto","created_at":"2024-10-10 14:59:39","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3810112,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5229104/v1/ceb4dd8b-e8af-44e9-a5f9-14b65ffac8b2.pdf"}],"financialInterests":"The authors declare potential competing interests as follows: ","formattedTitle":"\u003cp\u003e\u003cstrong\u003eDetermination of general combining ability and Heterosis for yield and quality of tomato inbred lines\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eTomato (\u003cem\u003eSolanum lycopersicum\u003c/em\u003e L.) is one of the most economically significant vegetable crops worldwide, valued for its nutritional properties and culinary versatility (Salunkhe \u003cem\u003eet al\u003c/em\u003e., 1987). As global population increases, ensuring food security necessitates the development of high-yielding tomato varieties with enhanced quality traits such as flavor, firmness, and nutritional content (Pruthi, 1993). Achieving these objectives requires a comprehensive understanding of the genetic factors governing yield and quality attributes in tomato.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eGenetic improvement in tomatoes often involves hybridization, wherein desirable traits from different parental lines are combined to generate superior hybrid varieties. The success of hybrid breeding programs relies on the identification and utilization of inbred lines possessing favorable genetic attributes (Metwally \u003cem\u003eet al\u003c/em\u003e., 2015). Assessing the general combining ability (GCA) of these inbred lines provides insights into their overall breeding value, particularly their additive genetic effects contributing to trait expression in hybrids (Vijeth \u003cem\u003eet al\u003c/em\u003e., 2018).\u003c/p\u003e\n\u003cp\u003eHeterosis, commonly referred to as hybrid vigor, describes the phenomenon where hybrid offspring exhibit superior performance relative to their parents for certain traits (Sridhara \u003cem\u003eet al\u003c/em\u003e., 2008). Heterosis plays a crucial role in plant breeding, as it offers opportunities to develop hybrids with enhanced yield and quality characteristics compared to their parental lines. Understanding the extent and nature of heterosis in tomato hybrids is essential for effective hybrid variety development and deployment (Singh and Asati, 2011).\u003c/p\u003e\n\u003cp\u003eThis study aims to determine the GCA, SCA and heterosis for yield and quality traits in a set of tomato inbred lines. By conducting controlled hybridization experiments and rigorous statistical analyses, we seek to identify inbred lines with high GCA for targeted trait improvement and evaluate the potential for exploiting heterosis in hybrid tomato breeding. The findings of this research will contribute to the development of superior tomato varieties with increased yield and improved quality, addressing the evolving demands of consumers and the agricultural industry.\u003c/p\u003e"},{"header":"Materials And Methods","content":"\u003cp\u003e1. Selection of Inbred Lines : Identify a diverse set of tomato inbred lines known for their distinct phenotypic traits related to yield and quality. Choose lines with contrasting characteristics to maximize genetic diversity within the breeding population.\u003c/p\u003e\n\u003cp\u003e2. Experimental Design: \u0026nbsp;Establish field trial plots in a randomized complete block design (RCBD) to minimize experimental error and environmental variability. Replicate each hybrid and parental line across multiple blocks to account for within-field variability. \u0026nbsp;Allocate buffer rows between different genotypes to minimize cross-pollination.\u003c/p\u003e\n\u003cp\u003e3. Field Trials : Prepare the field site by ensuring proper soil preparation, irrigation, and weed management. Plant seeds or seedlings of parental lines and hybrids at appropriate spacing and row arrangements. Implement standard agronomic practices throughout the growing season, including fertilization, pest control, and irrigation.\u003c/p\u003e\n\u003cp\u003e5. Trait Measurement: Record data on yield-related traits, including fruit weight, number of fruits per plant, total yield per plant and fruit size. Assess quality traits such as fruit firmness, color, sugar content (Brix), carotenoids. Utilize standardized measurement techniques and equipment to ensure accuracy and consistency across observations.\u003c/p\u003e\n\u003cp\u003e5. Statistical Analysis: Perform analysis of variance (ANOVA) to partition the total variation into components attributable to genotypes (inbred lines and hybrids) and environments. Estimate general combining ability (GCA) effects for each parental line using appropriate statistical methods, such as Griffing\u0026apos;s method or analysis of variance of specific combining ability (ANOVASCA). Calculate specific combining ability (SCA) effects for hybrid combinations to assess non-additive genetic effects. Determine heterosis for yield and quality traits by comparing the performance of hybrids to their mid-parent values (MPVs) and parental lines.\u003c/p\u003e\n\u003cp\u003e6. Validation and Replication: Validate the findings through repeated field trials across multiple growing seasons and environments. Replicate the experiment to confirm the stability and consistency of GCA, SCA, and heterosis estimates.\u003c/p\u003e"},{"header":"Results And Discussion","content":"\u003cp\u003e\u003cstrong\u003eMean performance of parents and hybrids for yield and yield attributes\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMean performance results of parents (Lines and Testers) and hybrids for 14 quantitative traits are presented (table 1 a, 1 b, 1c, 1 d, 1 e and 1 f) and discussion are presented.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e1. Lines:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe line NBLTM-23 recorded the highest fruit weight (81.36 g), while NBLTM-16 had the lowest (37.8 g). For total soluble sugars, NBLTM-23 exhibited the highest Brix value (5.10), and NBLTM-4 and NBLTM-17 had the lowest (4.15). In terms of fruit length, NBLTM-17 showed the greatest length (6.45 cm), whereas NBLTM-23 had the shortest (4.15 cm). NBLTM-16 also had the highest fruit width (6.55 cm), with NBLTM-3 being the narrowest (4.95 cm). The thickness of the pericarp was highest in NBLTM-3 (0.775 mm) and lowest in NBLTM-23 (0.575 mm). The largest size of locules was observed in NBLTM-3 (3.85 cm), while NBLTM-16 had the smallest (1.65 cm). NBLTM-4 recorded the highest fruit firmness (10.86 kg/cm\u0026sup2;), in contrast to NBLTM-16, which had the lowest (2.73 kg/cm\u0026sup2;). For fruit size at the blossom end, NBLTM-3 was the largest (0.33 mm), and NBLTM-4 was the smallest (0.13 mm). The highest number of locules was found in NBLTM-16 (5), while NBLTM-3 had the lowest (2). The length of the fruit stalk was greatest in NBLTM-3 (3.45 cm) and shortest in NBLTM-4 (1.90 cm). NBLTM-16 produced the highest seed yield per fruit (323.5 mg), whereas NBLTM-3 had the lowest (130.0 mg). Additionally, NBLTM-3 had the highest number of seeds per fruit (76.5), while NBLTM-17 had the lowest (34.0). NBLTM-23 showed the best seed germination (79.5%), with NBLTM-16 recording the lowest (37.5%). The electrical conductivity was lowest in NBLTM-17 (31.79 \u0026mu;S/cm/g) and highest in NBLTM-4 (68.81 \u0026mu;S/cm/g) as exhibited in table 1 a and 1 b.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2. Testers:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAmong the testers, NBLTM-28 had the highest fruit weight (100.05 g), while NBLTM-24 recorded the lowest (50.55 g). For total soluble sugars, NBLTM-28 also led with a Brix value of 6.20, and NBLTM-24 had the lowest (4.45). The highest fruit length was observed in NBLTM-28 (6.25 cm), compared to the lowest in NBLTM-21 (4.25 cm). NBLTM-28 also had the widest fruit (5.55 cm), while NBLTM-24 had the narrowest (4.45 cm). In thickness of pericarp, NBLTM-28 again ranked highest (0.88 mm) and NBLTM-21 the lowest (0.55 mm). The largest size of locules was found in NBLTM-28 (2.75 cm), and NBLTM-26 had the smallest (2.25 cm). The highest firmness was in NBLTM-21 (8.85 kg/cm\u0026sup2;), while NBLTM-26 had the lowest (5.18 kg/cm\u0026sup2;). For fruit size at the blossom end, NBLTM-28 was the largest (0.35 mm), and NBLTM-24 was the smallest (0.19 mm). NBLTM-21 had the highest number of locules (6), whereas NBLTM-28 had the lowest (2). The length of the fruit stalk was highest in NBLTM-28 (2.90 cm) and lowest in NBLTM-29 (2.40 cm). NBLTM-21 recorded the highest seed yield per fruit (239.5 mg), while NBLTM-28 had the lowest (144.0 mg). The highest number of seeds per fruit was in NBLTM-21 (63.0), compared to the lowest in NBLTM-26 (33.5). NBLTM-28 exhibited the highest seed germination (94.5%), while NBLTM-24 had the lowest (47.5%). The electrical conductivity was lowest in NBLTM-28 (33.60 \u0026mu;S/cm/g) and highest in NBLTM-29 (69.38 \u0026mu;S/cm/g) as exhibited in table 1 c and 1 d.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3. Hybrids (Parental Crosses):\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAmong the parental crosses, NBLTM-16 \u0026times; NBLTM-26 had the highest fruit weight (138.5 g), while NBLTM-23 \u0026times; NBLTM-28 recorded the lowest (38.4 g). For total soluble sugars, the highest was in NBLTM-4 \u0026times; NBLTM-21 (6.25 Brix), and the lowest was observed in NBLTM-4 \u0026times; NBLTM-29 (3.35 Brix). The hybrid NBLTM-16 \u0026times; NBLTM-28 had the longest fruit (6.62 cm), while NBLTM-23 \u0026times; NBLTM-28 had the shortest (2.82 cm). In terms of fruit width, NBLTM-16 \u0026times; NBLTM-26 was the widest (7.89 cm), and NBLTM-17 \u0026times; NBLTM-29 was the narrowest (2.30 cm). The thickness of pericarp was highest in NBLTM-4 \u0026times; NBLTM-28 (1.25 mm), while the lowest was in NBLTM-17 \u0026times; NBLTM-24 and NBLTM-23 \u0026times; NBLTM-28 (0.36 mm). The largest size of locules was in NBLTM-4 \u0026times; NBLTM-26 (4.05 cm), and the smallest was in NBLTM-17 \u0026times; NBLTM-29 (1.15 cm). The highest firmness among hybrids was observed in NBLTM-3 \u0026times; NBLTM-24 (11.80 kg/cm\u0026sup2;), and the lowest in NBLTM-3 \u0026times; NBLTM-28 (5.31 kg/cm\u0026sup2;). For fruit size at the blossom end, the highest was recorded in NBLTM-3 \u0026times; NBLTM-24, NBLTM-3 \u0026times; NBLTM-29, and NBLTM-16 \u0026times; NBLTM-28 (0.19 mm), while the lowest was found in NBLTM-3 \u0026times; NBLTM-28, NBLTM-4 \u0026times; NBLTM-21, and NBLTM-4 \u0026times; NBLTM-24 (0.09 mm). The highest number of locules was in NBLTM-16 \u0026times; NBLTM-26 (6). Lastly, the length of the fruit stalk was greatest in NBLTM-3 \u0026times; NBLTM-21 (3.20 cm) and lowest in NBLTM-4 \u0026times; NBLTM-29 (2.25 cm). The highest seed yield per fruit among hybrids was in NBLTM-4 \u0026times; NBLTM-28 (390.0 mg), while the lowest was in NBLTM-17 \u0026times; NBLTM-29 (80.0 mg). The highest number of seeds per fruit was in NBLTM-16 \u0026times; NBLTM-26 (166.5), while the lowest was in NBLTM-4 \u0026times; NBLTM-29 (24.0). The highest seed germination was recorded in NBLTM-17 \u0026times; NBLTM-21 (88.5%), and the lowest was in NBLTM-16 \u0026times; NBLTM-26 and NBLTM-23 \u0026times; NBLTM-26 (70.5%). The lowest electrical conductivity was in NBLTM-17 \u0026times; NBLTM-21 (18.42 \u0026mu;S/cm/g), while the highest was in NBLTM-3 \u0026times; NBLTM-28 (63.58 \u0026mu;S/cm/g) as exhibited in table 1 e and 1 f.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAnalysis of variance (ANOVA)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe analysis of variance due to different sources of variation for fourteen traits studied \u003cem\u003eviz\u003c/em\u003e., weight of fruits, total soluble solids, fruit length, fruit width, thickness of pericarp, size of locules, fruit firmness, size at blossom end, number of locules, length of fruit stalk, seed yield per fruit, number of seeds per fruit, seed germination and electrical conductivity are summarized in (Table 2 a and 2 b).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe ANOVA indicated that, the difference among the genotypes (parents and crosses) and variance due to crosses was significant for all the characters based on their mean sum of square values. The difference among the parents was highly significant for all the traits. The variances due to lines and testers were significant variance for all the traits studied and also the line \u0026times; tester interaction showed variance was significant for all the traits. Significant variances due to line \u0026times; tester interaction for all the characters suggested the presence of significant variances for \u003cem\u003esca\u0026nbsp;\u003c/em\u003eamong hybrids (Vekariya \u003cem\u003eet al\u003c/em\u003e., 2019). \u0026nbsp;The results on the mean performance of parents for fourteen traits studied revealed substantial variability among lines and testers. However, in general no single line or tester was found to have better mean performance for all the characters studied. These results are in agreement with those of Metwally \u003cem\u003eet al\u003c/em\u003e. (2015), Nayana \u003cem\u003eet al\u003c/em\u003e. (2021) and Navaneet Singh \u003cem\u003eet al\u003c/em\u003e. (2022).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCombining ability analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe general combining ability and specific combining ability effects of parents (lines and testers) estimated for fourteen traits is presented in (Table 3 a, 3 b, 3c, 3 d and 5 a and 5 b).\u003c/p\u003e\n\u003cp\u003eThe combining ability analysis revealed significant effects across various traits. For fruit weight, NBLTM-4 and NBLTM-16 showed positive GCA, while NBLTM-17 and NBLTM-23 had negative effects; the hybrid NBLTM-23 \u0026times; NBLTM-29 exhibited the highest positive SCA. In terms of total soluble sugars, NBLTM-4 and NBLTM-16 demonstrated positive GCA, with NBLTM-4 \u0026times; NBLTM-24 showing the highest positive SCA. For fruit length, positive GCA was observed in NBLTM-3 and NBLTM-16, while the hybrid NBLTM-17 \u0026times; NBLTM-21 had the highest positive SCA. Regarding fruit width, NBLTM-16 and NBLTM-4 were positive for GCA, with NBLTM-3 \u0026times; NBLTM-29 displaying the highest positive SCA. In thickness of pericarp, NBLTM-3 and NBLTM-4 had positive GCA, and NBLTM-17 \u0026times; NBLTM-21 showed the highest positive SCA. For size of locules, NBLTM-3 and NBLTM-4 exhibited positive GCA, with NBLTM-17 \u0026times; NBLTM-21 having the highest positive SCA. Fruit firmness was positive in NBLTM-17 but negative in NBLTM-23; NBLTM-3 \u0026times; NBLTM-24 had the highest positive SCA. Seed yield per fruit showed a positive GCA in NBLTM-16, while all hybrids had non-significant SCA effects. In number of seeds per fruit, NBLTM-16 had a positive GCA and NBLTM-29 a negative one, with all hybrids showing non-significant SCA effects. For seed germination, NBLTM-3, NBLTM-4, and NBLTM-17 showed positive GCA, while NBLTM-16 and NBLTM-23 were negative; the hybrid NBLTM-16 \u0026times; NBLTM-28 had the highest positive SCA. Lastly, in electrical conductivity, NBLTM-3 and NBLTM-4 had positive GCA, while the hybrid NBLTM-3 \u0026times; NBLTM-24 exhibited the highest negative SCA. This trait-wise analysis highlights the diverse combining abilities of lines, testers, and hybrids, offering insights for future breeding efforts.\u003c/p\u003e\n\u003cp\u003eThe combining ability analysis revealed significant differences among the lines, testers, and hybrids for various traits. In terms of General Combining Ability (GCA), lines such as NBLTM-3, NBLTM-4, and NBLTM-16 exhibited high positive GCA for several traits, including fruit weight, total soluble sugars, and fruit length, while lines like NBLTM-17 and NBLTM-23 showed consistently negative GCA across multiple traits. Among the testers, NBLTM-21, NBLTM-24, NBLTM-26, and NBLTM-28 demonstrated positive GCA, particularly in fruit width and seed yield, whereas NBLTM-29 often yielded negative GCA. For Specific Combining Ability (SCA), notable hybrids like NBLTM-23 \u0026times; NBLTM-29 and NBLTM-3 \u0026times; NBLTM-21 showed significant positive effects for fruit weight and total soluble sugars, while hybrids such as NBLTM-16 \u0026times; NBLTM-21 exhibited negative SCA effects in several traits. Overall, the analysis indicates that specific lines and hybrids hold promise for enhancing desirable characteristics in future breeding programs.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOverall general combining ability status of lines and testers\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIt can be substantiated from the (Table 4 a and 4 b) that the lines NBLTM-3, NBLTM-4 and NBLTM-16 were found to possess high (H) overall general combining ability status based on their rankings. However, the lines NBLTM-17 and NBLTM-23 were found to possess low (L) overall general combining ability effects based on their respective rankings. Out of five testers, four testers \u003cem\u003eviz\u003c/em\u003e., NBLTM-21, NBLTM-24, NBLTM-26 and NBLTM-28 recorded high (H) overall general combining ability status and NBLTM-29 was found to possess low (L) overall general combining ability effects based on their respective rankings (Table 4 a and 4 b).\u003c/p\u003e\n\u003cp\u003eThe selection of potential parent in hybridization may be judged by comparing the \u003cem\u003eper se\u0026nbsp;\u003c/em\u003eperformance of the parents, the F\u003csub\u003e1\u0026nbsp;\u003c/sub\u003evalue (heterosis) and the combining ability effects. However, \u003cem\u003eper se\u0026nbsp;\u003c/em\u003eperformance of a parent alone is not always a true indicator of its potentiality in hybrid combination most of the time. Therefore, general combining ability, which is also the breeding value of the parent, has proved as a useful tool for selecting the parents for hybridization. Among parents, the significant \u003cem\u003egca\u0026nbsp;\u003c/em\u003eeffects was observed, the parents with higher magnitude of \u003cem\u003egca\u0026nbsp;\u003c/em\u003eeffects were considered as superior to those with lower magnitude. Results revealed that 80.0 % of the testers and 60.0 % of the lines performed better and have overall general combining ability in an estimated direction. The superiority of female and male lines were observed for \u003cem\u003egca.\u003c/em\u003e These results are on par with the reports of Zengin \u003cem\u003eet al\u003c/em\u003e. (2015); Venkariya \u003cem\u003eet al.\u0026nbsp;\u003c/em\u003e(2019); Liu \u003cem\u003eet al\u003c/em\u003e. (2021) and Navneet Singh \u003cem\u003eet al.\u0026nbsp;\u003c/em\u003e(2022).\u003c/p\u003e\n\u003cp\u003eThere is a need of identifying the superior combiners which helps the breeders in selecting appropriate parents to be used in the breeding programmes to develop superior hybrids in tomato (Liu \u003cem\u003eet al\u003c/em\u003e., 2021).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOverall specific combining ability status of hybrids\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIt is important to determine whether hybrids possess higher \u003cem\u003esca\u0026nbsp;\u003c/em\u003evalues across all the characters or not. The overall \u003cem\u003esca\u0026nbsp;\u003c/em\u003estatus of all the hybrids across fourteen traits was determined and same is presented in (Table 6). From the results, it is evident that 68 % of the hybrids\u003cem\u003e, i.e.,\u0026nbsp;\u003c/em\u003e17 of the twenty five hybrids had high (H) overall \u003cem\u003esca\u0026nbsp;\u003c/em\u003estatus and the remaining eight had low (L) overall \u003cem\u003esca\u0026nbsp;\u003c/em\u003estatus across the fourteen traits.\u003c/p\u003e\n\u003cp\u003eSeveral workers including Vekariya \u003cem\u003eet al\u003c/em\u003e. (2019); Nayana \u003cem\u003eet al\u003c/em\u003e. (2021) and Navneet Singh \u003cem\u003eet al.\u0026nbsp;\u003c/em\u003e(2022) identified good specific combiners for different yield and yield attributing characters based on high \u003cem\u003esca\u003c/em\u003e effects in desirable direction. One of the parent with high \u003cem\u003egca\u003c/em\u003e another parent with low \u003cem\u003egca\u003c/em\u003e, resulted in hybrid with high \u003cem\u003esca\u003c/em\u003e effect, which may be due to the predominance of dominant allele Vekariya \u003cem\u003eet al\u003c/em\u003e. (2019). When both the parents recorded low \u003cem\u003egca\u0026nbsp;\u003c/em\u003eeffects, led to a hybrid with high \u003cem\u003esca\u003c/em\u003e effect which may be due to accumulation of favourable alleles and non-additive gene action. Similar findings as observed in the present study were also reported by Singh and Asati (2011); Zengin \u003cem\u003eet al\u003c/em\u003e. (2015); Metwally \u003cem\u003eet al.\u0026nbsp;\u003c/em\u003e(2015); Vekariya \u003cem\u003eet al\u003c/em\u003e. (2019); Nayana \u003cem\u003eet al.\u0026nbsp;\u003c/em\u003e(2021) and Navneet Singh \u003cem\u003eet al.\u0026nbsp;\u003c/em\u003e(2022) in tomato.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eVariance due to general and specific combining ability effects\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; The variance due to general and specific combining ability effects for fourteen different traits is presented in (Table 7, Fig. 1). The results revealed that, an estimate of \u003cem\u003esca\u0026nbsp;\u003c/em\u003evariance was predominant for all the characters studied as indicated by \u003cem\u003egca\u0026nbsp;\u003c/em\u003eto \u003cem\u003esca\u0026nbsp;\u003c/em\u003eratio. This was maximum in respect of seed yield per fruit (1885.275) followed by weight of fruit (434.456) and number of seeds per fruit (276.578). The predominance of \u003cem\u003esca\u0026nbsp;\u003c/em\u003evariance indicated there is a presence of non-additive gene action.\u003c/p\u003e\n\u003cp\u003eThese results indicated that preponderance of non-additive gene action in the expression of all the traits studied and a very good prospect for the exploitation of non-additive genetic variation for traits through hybrid breeding in tomato (Zengin \u003cem\u003eet al\u003c/em\u003e. 2015). The estimates of variance due to \u003cem\u003egca\u003c/em\u003e and\u003cem\u003e\u0026nbsp;sca\u003c/em\u003e indicated the predominance of \u003cem\u003esca\u003c/em\u003e variance for all the traits. These results are in conformity with Singh and Asati (2011); Zengin \u003cem\u003eet al\u003c/em\u003e. (2015); Metwally \u003cem\u003eet al.\u0026nbsp;\u003c/em\u003e(2015); Vekariya \u003cem\u003eet al\u003c/em\u003e. (2019); Nayana \u003cem\u003eet al.\u0026nbsp;\u003c/em\u003e(2021) and Navneet Singh \u003cem\u003eet al.\u0026nbsp;\u003c/em\u003e(2022) in tomato and also reported that non-additive gene effects were predominant than additive gene effects especially for yield and its component characters. The presence of non-additive genetic variance in this study offer scope for exploitation of heterosis for these characters.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eProportional contribution of lines, testers and line \u0026times; tester interaction towards the \u0026nbsp; \u0026nbsp; \u0026nbsp; performance of hybrids\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe proportional contribution of lines, testers and lines \u0026times; testers interaction for nine traits is presented in (Table 8 and Fig. 2).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe results revealed that the per cent contribution of lines was higher for all the traits compared with the testers. However, the per cent contribution of lines \u0026times; testers interaction was more for all the characters.\u003c/p\u003e\n\u003cp\u003eThe results revealed that contribution per cent contribution of the line \u0026times; tester interaction effect to the variation observed in hybrids was higher for all the traits. The lines contributed towards the variation in the hybrids for all the traits. Overall lines were found to have more role in the variation among the hybrids. Therefore, emphasis needs to be given while selecting the lines. However, the same thing cannot be done with respect to lines \u0026times; testers interaction as it is not under the breeder\u0026apos;s control, but it depends on the particular way in which the lines and testers interact and also on the environment in which the hybrids are grown. The results were on par with Navneet Singh \u003cem\u003eet al.\u0026nbsp;\u003c/em\u003e(2022) in tomato.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHeterosis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe results of heterosis of fourteen quantitative traits for important yield attributing traits are presented and discussed hereunder (Table 9 a, b, c, d and e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMid Parent Heterosis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAcross the evaluated traits, significant positive heterosis over the mid parent was observed in several hybrids. Notably, fruit weight exhibited impressive gains, particularly with NBLTM-16 \u0026times; NBLTM-24 showing 160.78%. In terms of total soluble solids, NBLTM-4 \u0026times; NBLTM-24 led at 39.73%. Fruit length also demonstrated positive heterosis, with NBLTM-16 \u0026times; NBLTM-26 achieving 42.10%. Other traits, such as fruit width (NBLTM-16 \u0026times; NBLTM-26 at 31.58%) and thickness of pericarp (NBLTM-4 \u0026times; NBLTM-26 at 91.67%), followed suit. For seed germination, hybrids like NBLTM-16 \u0026times; NBLTM-24 exhibited 68.24%, while fruit firmness peaked with NBLTM-16 \u0026times; NBLTM-26 at 104.30%. Conversely, several traits, including size at blossom end and number of locules, revealed significant negative heterosis, with NBLTM-3 \u0026times; NBLTM-28 showing -80.05% and NBLTM-4 \u0026times; NBLTM-21 at -60.00%, respectively.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBetter Parent Heterosis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWhen comparing hybrids to the better parent, several traits exhibited substantial positive heterosis. For fruit weight, NBLTM-16 \u0026times; NBLTM-24 achieved 132.09%, and total soluble solids were notably enhanced by NBLTM-4 \u0026times; NBLTM-24 at 34.83%. In fruit length, NBLTM-16 \u0026times; NBLTM-26 reached 41.32%, while fruit width showed NBLTM-16 \u0026times; NBLTM-26 at 20.53%. The thickness of pericarp also demonstrated improvements with NBLTM-4 \u0026times; NBLTM-26 at 58.62%. However, for certain traits like size of locules and number of locules, significant negative heterosis was noted against the better parent, with NBLTM-4 \u0026times; NBLTM-21 reaching -66.67%. For seed yield per fruit and number of seeds per fruit, improvements were limited, with the best results being NBLTM-4 \u0026times; NBLTM-28 and NBLTM-16 \u0026times; NBLTM-24 showing positive heterosis of 109.40% and 180.90%, respectively.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStandard Heterosis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn terms of standard heterosis, several hybrids demonstrated remarkable improvements across various traits. For fruit weight, the hybrid NBLTM-16 \u0026times; NBLTM-26 exhibited a striking 265.92%, while NBLTM-16 \u0026times; NBLTM-24 showed 204.36% in the same trait. Total soluble solids were notably enhanced by NBLTM-4 \u0026times; NBLTM-21 at 40.45%. The thickness of pericarp also revealed significant positive heterosis, with NBLTM-4 \u0026times; NBLTM-28 achieving 61.29%. However, several traits experienced negative heterosis, particularly size at blossom end and number of locules, with NBLTM-3 \u0026times; NBLTM-28 showing -85.60% and NBLTM-4 \u0026times; NBLTM-21 at -66.67%, indicating a need for further investigation into these specific crosses. Overall, the data highlights the potential for hybridization to enhance important agricultural traits while also identifying areas requiring further research to mitigate negative effects.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOverall heterotic status of hybrids\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIt is important to determine the overall heterotic status of the hybrids across the characters in addition to determining the overall general combining ability status of parents and overall specific combining ability status of crosses. Hence, the method (Descending order) which was used for determining overall \u003cem\u003esca\u0026nbsp;\u003c/em\u003estatus of hybrids was also utilized to compute overall heterotic status of each cross and the results of the same are tabulated in (Table 73). From the (Table 73) it is evident that, 12 out of 25 hybrids manifested high (H) overall heterotic status while the remaining 13 crosses expressed low (L) overall heterotic status across the traits. Of these, the cross NBLTM -4 \u0026times; NBLTM- 29 (H \u0026times; L) manifested highest heterotic status over final norm of 245, followed by NBLTM-3 \u0026times; NBLTM-28 (H \u0026times; H) with 235. \u0026nbsp;Among the lines, NBLTM -16 with high (H) GCA\u003cem\u003e\u0026nbsp;\u003c/em\u003estatus produced maximum of four hybrids with high heterotic status. Among the testers, NBLTM-24 and NBLTM-26 with high (H) overall \u003cem\u003egca\u0026nbsp;\u003c/em\u003estatus, when crossed with all five lines produced four hybrids with high overall heterotic status. Approximately, similar type of results obtained by Nayana \u003cem\u003eet al.\u0026nbsp;\u003c/em\u003e(2021) in tomato.\u003c/p\u003e\n\u003cp\u003eIt is an evident that the number of hybrids with low (L) overall heterotic status was more in H \u0026times; H, L \u0026times; H or H \u0026times; L type of crosses than in L \u0026times; L combinations. Similar type of observations was also reported by Nayana \u003cem\u003eet al.\u003c/em\u003e (2021) in tomato. This clearly indicated the need for using the parents having high overall \u003cem\u003egca\u0026nbsp;\u003c/em\u003estatus or at least using the parent having high \u003cem\u003egca\u0026nbsp;\u003c/em\u003estatus to produce hybrids with overall heterotic status.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSummary\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study highlighted significant genetic potential in the evaluated lines and testers for breeding. Lines NBLTM-3, NBLTM-4, and NBLTM-16, along with testers NBLTM-21, NBLTM-24, NBLTM-26, and NBLTM-28, showed high General Combining Ability (GCA). Notably, 68% of the hybrids exhibited high Specific Combining Ability (SCA) across fourteen traits, indicating effective combinations and a predominance of non-additive gene action.\u003c/p\u003e\n\u003cp\u003eThe analysis revealed that line contributions were greater than those of testers, with line \u0026times; tester interactions also playing a crucial role. Twelve hybrids demonstrated high overall heterotic status, with NBLTM-4 \u0026times; NBLTM-29 and NBLTM-3 \u0026times; NBLTM-28 leading in heterotic responses. These findings suggest a promising avenue for developing superior hybrids to boost agricultural productivity.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe analysis of General Combining Ability (GCA) and Specific Combining Ability (SCA) across various traits highlights the genetic strengths of the evaluated lines and testers. Significant GCA effects show that some parental lines consistently contribute positively to trait performance, making them valuable for breeding. Notable SCA effects indicate that specific hybrid combinations can lead to exceptional results, emphasizing the importance of selecting the right parents for hybridization.\u003c/p\u003e\n\u003cp\u003eHeterosis assessments revealed both positive and negative results. Significant positive heterosis was observed in traits like fruit weight, total soluble solids, and fruit firmness, particularly in hybrids such as NBLTM-16 \u0026times; NBLTM-26. This suggests that these hybrids can outperform their parents, enhancing agricultural productivity. However, negative heterosis was noted in traits like size at blossom end and number of locules, which requires careful management.\u003c/p\u003e\n\u003cp\u003eIn summary, the findings underline the importance of both parental quality and hybrid selection in improving crop traits. By focusing on the strengths of lines and testers, breeders can develop superior hybrids that boost yield and quality, meeting the needs of agricultural production.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eDeclaration or\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eConflict of interest\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll the authors are agreed the manuscript and there is a compatibility between the members.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eSALUNKHE, D. K., DESAI, B. B. AND BHAT, N. R., 1987, Vegetable and flower seed production. First Edn, Agricole pub. Acad., New Delhi, India, 135.\u003c/li\u003e\n \u003cli\u003ePRUTHI, J. S., 1993, Major spices of India. Crop management and post-harvest technology. Indian J. Agric. Res., New Delhi.\u003c/li\u003e\n \u003cli\u003eMETWALLY, E. I., EL-KASSAS, A. I., EL-TANTAWY, A. M., MAHMOUD, M. I. AND EL-MANSY, A. B., 2015, Heterosis and combining ability in tomato by line \u0026times; tester. J. Plant Prod., 6(2):159-173.\u003c/li\u003e\n \u003cli\u003eVIJETH, S., DHALIWAL, M. S., JINDAL, S. K. AND SHARMA, A., 2018, Evaluation of tomato hybrids for resistance to leaf curl virus disease and for high-yield production. Horti. Environ. Biotechnol., 59 (5):699-709.\u003c/li\u003e\n \u003cli\u003eSRIDHARA, S. K., RANGASWAMY, K. T., ASWATHANARAYANA, D. S., PRAMEELA, H. A., KULKARNI, R. S., MUNIYAPPA, V. AND MARUTHI, M. N., 2008, Development of tomato hybrids resistant to tomato leaf curl virus disease in South India. Euphytica, 164 (2):531-539.\u003c/li\u003e\n \u003cli\u003eSINGH, A. K. AND ASATI, B. S., 2011, Combining ability and heterosis studies in tomato under bacterial wilt condition. Bangladesh J. Agril. Res., 36(2):313-318.\u003c/li\u003e\n \u003cli\u003eVEKARIYA, T., KULKARNI, G. U., VEKARIA, D. M., DEDANIYA, A. P. AND MEMON, J. T., 2019, Combining ability analysis for yield and its components in tomato (Solanum lycopersicum L.). Acta Scientific Agric., 3 (7): 185-191.\u003c/li\u003e\n \u003cli\u003eNAYANA, K. R., SRINIVASA, V., DEVARAJU, DUSHYANTH KUMAR, B. M. AND NATARAJ, S. K., 2021, General and specific combining ability studies for processing traits in tomato (Solanum lycopersicum L.) under protected condition. Phar. Innov. J., 10 (12): 2462-2465.\u003c/li\u003e\n \u003cli\u003eNAVNEET SINGH, RAM, C. N., VIKASH SINGH AND DIJENDRA KUMAR, 2022, Line \u0026times; Tester Analysis and estimating combining abilities for yield and some quality attributes in tomato (Solanum lycopersicum L.). Int. J. Pl. Soil Sci., 34 (21): 176-194.\u003c/li\u003e\n \u003cli\u003eZENGIN, S., KABAS, A., ASU, O. G. U. Z., AHMET, E. R. E. N. AND POLAT, E., 2015, Determining of general combining ability for yield, quality and some other traits of tomato (Solanum lycopersicum L.) inbred lines. Akdeniz \u0026Uuml;niversitesi Ziraat Fak\u0026uuml;ltesi Dergisi, 28 (1): 1-4\u003c/li\u003e\n \u003cli\u003eLIU, Z., JIANG, J., REN, A., XU, X., ZHANG, H., ZHAO, T. AND YANG, H., 2021, Heterosis and combining ability analysis of fruit yield, early maturity and quality in tomato. J. Agron., 11 (4): 807-822.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1a. Performance of tomato lines for yield and yield contributing characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"965\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 10.4663%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLines\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWeight of fruits (g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.70466%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTSS (Brix)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6425%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit length (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit width(cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5751%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThickness of pericarp (mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.6114%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize of locules\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5803%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit firmness (kg/cm\u003csup\u003e2\u003c/sup\u003e)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 10.4663%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e37.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.70466%;\"\u003e\n \u003cp\u003e4.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6425%;\"\u003e\n \u003cp\u003e6.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e4.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5751%;\"\u003e\n \u003cp\u003e0.775\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.6114%;\"\u003e\n \u003cp\u003e3.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5803%;\"\u003e\n \u003cp\u003e8.13\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 10.4663%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e40.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.70466%;\"\u003e\n \u003cp\u003e4.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6425%;\"\u003e\n \u003cp\u003e4.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e5.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5751%;\"\u003e\n \u003cp\u003e0.725\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.6114%;\"\u003e\n \u003cp\u003e2.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5803%;\"\u003e\n \u003cp\u003e10.86\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 10.4663%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-16\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e37.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.70466%;\"\u003e\n \u003cp\u003e4.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6425%;\"\u003e\n \u003cp\u003e4.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e6.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5751%;\"\u003e\n \u003cp\u003e0.605\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.6114%;\"\u003e\n \u003cp\u003e1.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5803%;\"\u003e\n \u003cp\u003e2.73\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 10.4663%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-17\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e48.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.70466%;\"\u003e\n \u003cp\u003e4.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6425%;\"\u003e\n \u003cp\u003e6.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e5.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5751%;\"\u003e\n \u003cp\u003e0.675\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.6114%;\"\u003e\n \u003cp\u003e2.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5803%;\"\u003e\n \u003cp\u003e7.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 10.4663%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-23\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e81.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.70466%;\"\u003e\n \u003cp\u003e5.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6425%;\"\u003e\n \u003cp\u003e4.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e5.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5751%;\"\u003e\n \u003cp\u003e0.575\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.6114%;\"\u003e\n \u003cp\u003e2.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5803%;\"\u003e\n \u003cp\u003e7.56\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 10.4663%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSEm\u0026plusmn;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e2.517\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.70466%;\"\u003e\n \u003cp\u003e0.035\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6425%;\"\u003e\n \u003cp\u003e0.068\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e0.122\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5751%;\"\u003e\n \u003cp\u003e0.0168\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.6114%;\"\u003e\n \u003cp\u003e0.0566\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5803%;\"\u003e\n \u003cp\u003e0.263\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 10.4663%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 5%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e5.195\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.70466%;\"\u003e\n \u003cp\u003e0.073\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6425%;\"\u003e\n \u003cp\u003e0.139\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e0.251\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5751%;\"\u003e\n \u003cp\u003e0.0347\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.6114%;\"\u003e\n \u003cp\u003e0.1169\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5803%;\"\u003e\n \u003cp\u003e0.543\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 10.4663%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 1%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e7.039\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.70466%;\"\u003e\n \u003cp\u003e0.099\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6425%;\"\u003e\n \u003cp\u003e0.189\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.7098%;\"\u003e\n \u003cp\u003e0.340\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5751%;\"\u003e\n \u003cp\u003e0.0471\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.6114%;\"\u003e\n \u003cp\u003e0.1584\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5803%;\"\u003e\n \u003cp\u003e0.735\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1b. Performance of tomato lines for yield and yield contributing characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"971\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 9.9897%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLines\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.4614%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize at blossom end(mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4016%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of locules\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLength of fruit stalk (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSeed yield per fruit (mg)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.6375%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of seeds per fruit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGermination (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.5077%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eElectrical conductivity (\u0026mu;S/cm/g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 9.9897%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.4614%;\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4016%;\"\u003e\n \u003cp\u003e2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e3.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e130.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.6375%;\"\u003e\n \u003cp\u003e76.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e77.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.5077%;\"\u003e\n \u003cp\u003e54.95\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 9.9897%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.4614%;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4016%;\"\u003e\n \u003cp\u003e4.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e1.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e228.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.6375%;\"\u003e\n \u003cp\u003e43.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e75.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.5077%;\"\u003e\n \u003cp\u003e68.81\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 9.9897%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-16\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.4614%;\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4016%;\"\u003e\n \u003cp\u003e5.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e2.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e323.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.6375%;\"\u003e\n \u003cp\u003e44.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e37.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.5077%;\"\u003e\n \u003cp\u003e48.66\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 9.9897%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-17\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.4614%;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4016%;\"\u003e\n \u003cp\u003e3.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e2.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e165.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.6375%;\"\u003e\n \u003cp\u003e34.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e64.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.5077%;\"\u003e\n \u003cp\u003e31.79\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 9.9897%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-23\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.4614%;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4016%;\"\u003e\n \u003cp\u003e3.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e2.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e293.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.6375%;\"\u003e\n \u003cp\u003e44.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e79.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.5077%;\"\u003e\n \u003cp\u003e51.68\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 9.9897%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSEm\u0026plusmn;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.4614%;\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4016%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e0.031\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e32.515\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.6375%;\"\u003e\n \u003cp\u003e12.050\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.5077%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 9.9897%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 5%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.4614%;\"\u003e\n \u003cp\u003e0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4016%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e0.063\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e67.107\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.6375%;\"\u003e\n \u003cp\u003e24.871\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.5077%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 9.9897%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 1%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.4614%;\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4016%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e0.086\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e90.942\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.6375%;\"\u003e\n \u003cp\u003e33.704\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6674%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.5077%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1c. Performance of tomato testers for yield and yield contributing characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"981\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTester\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWeight of fruits (g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.72783%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTSS (Brix)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.684%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit length (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.58206%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit width(cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThickness of pericarp (mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize of locules\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit firmness\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(lb/kg)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003eNBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e52.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.72783%;\"\u003e\n \u003cp\u003e6.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.684%;\"\u003e\n \u003cp\u003e4.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.58206%;\"\u003e\n \u003cp\u003e5.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e2.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e8.85\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003eNBLTM-24 (Ty-6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e50.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.72783%;\"\u003e\n \u003cp\u003e4.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.684%;\"\u003e\n \u003cp\u003e4.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.58206%;\"\u003e\n \u003cp\u003e4.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e2.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e8.67\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003eNBLTM-26 (Ty-2 and Ty-3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e81.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.72783%;\"\u003e\n \u003cp\u003e5.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.684%;\"\u003e\n \u003cp\u003e4.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.58206%;\"\u003e\n \u003cp\u003e5.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e2.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e5.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003eNBLTM-28 (Ty-2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e100.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.72783%;\"\u003e\n \u003cp\u003e6.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.684%;\"\u003e\n \u003cp\u003e6.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.58206%;\"\u003e\n \u003cp\u003e5.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e2.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e7.64\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003eNBLTM-29 (Ty-2, Ty-3 and Ty-5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e67.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.72783%;\"\u003e\n \u003cp\u003e5.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.684%;\"\u003e\n \u003cp\u003e5.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.58206%;\"\u003e\n \u003cp\u003e5.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e2.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e6.38\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSEm\u0026plusmn;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e2.517\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.72783%;\"\u003e\n \u003cp\u003e0.035\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.684%;\"\u003e\n \u003cp\u003e0.068\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.58206%;\"\u003e\n \u003cp\u003e0.122\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.0168\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.0566\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.263\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 5%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e5.195\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.72783%;\"\u003e\n \u003cp\u003e0.073\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.684%;\"\u003e\n \u003cp\u003e0.139\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.58206%;\"\u003e\n \u003cp\u003e0.251\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.0347\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.1169\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.543\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 1%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e7.039\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.72783%;\"\u003e\n \u003cp\u003e0.099\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.684%;\"\u003e\n \u003cp\u003e0.189\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.58206%;\"\u003e\n \u003cp\u003e0.340\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.0471\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.1584\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.735\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1d. Performance of tomato testers for yield and yield contributing characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"981\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTester\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize at blossom end (mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.7472%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of locules\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLength of fruit stalk (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.5189%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSeed yield per fruit (mg)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6014%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of seeds per fruit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGermination (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eElectrical conductivity (\u0026mu;S/cm/g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003eNBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e0.265\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.7472%;\"\u003e\n \u003cp\u003e6.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e2.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.5189%;\"\u003e\n \u003cp\u003e239.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6014%;\"\u003e\n \u003cp\u003e63.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e77.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e47.34\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003eNBLTM-24 (Ty-6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e0.190\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.7472%;\"\u003e\n \u003cp\u003e4.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e2.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.5189%;\"\u003e\n \u003cp\u003e198.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6014%;\"\u003e\n \u003cp\u003e42.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e47.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e44.31\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003eNBLTM-26 (Ty-2 and Ty-3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e0.215\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.7472%;\"\u003e\n \u003cp\u003e4.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e2.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.5189%;\"\u003e\n \u003cp\u003e220.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6014%;\"\u003e\n \u003cp\u003e33.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e75.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e48.72\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003eNBLTM-28 (Ty-2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e0.625\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.7472%;\"\u003e\n \u003cp\u003e2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e2.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.5189%;\"\u003e\n \u003cp\u003e144.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6014%;\"\u003e\n \u003cp\u003e46.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e94.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e33.60\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003eNBLTM-29 (Ty-2, Ty-3 and Ty-5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e0.245\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.7472%;\"\u003e\n \u003cp\u003e3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e2.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.5189%;\"\u003e\n \u003cp\u003e194.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6014%;\"\u003e\n \u003cp\u003e42.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e78.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e69.38\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSEm\u0026plusmn;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.7472%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e0.031\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.5189%;\"\u003e\n \u003cp\u003e32.515\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6014%;\"\u003e\n \u003cp\u003e12.050\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 5%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.7472%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e0.063\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.5189%;\"\u003e\n \u003cp\u003e67.107\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6014%;\"\u003e\n \u003cp\u003e24.871\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 27.7268%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 1%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.7472%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.66463%;\"\u003e\n \u003cp\u003e0.086\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.5189%;\"\u003e\n \u003cp\u003e90.942\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6014%;\"\u003e\n \u003cp\u003e33.704\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.5382%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1e. Performance of tomato parental cross (hybrids) for yield and yield contributing characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"990\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWeight of fruits (g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal Soluble solids (Brix)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit length (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit width (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThickness of pericarp (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize of locules (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit firmness (lb/kg)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize at blossom end (mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e96.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e3.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e4.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e4.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e3.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e11.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e75.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e6.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e4.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e2.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e11.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e67.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e5.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e5.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e4.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e3.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e6.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e64.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e5.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e3.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e2.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e5.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e53.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e5.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e4.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e1.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e6.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e97.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e6.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e4.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e5.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e3.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e6.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e74.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e6.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e5.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e4.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e3.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e7.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e67.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e4.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e3.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e4.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e8.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e106.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e3.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e4.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e6.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e1.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e3.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e10.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e44.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e3.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e3.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e4.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e1.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e5.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e69.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e5.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e3.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e5.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e2.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e9.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e115.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e5.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e6.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e1.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e9.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e138.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e5.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e6.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e7.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e1.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e8.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e116.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e5.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e6.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e7.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e2.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e9.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e111.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e5.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e5.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e6.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e2.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e6.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e48.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e5.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e4.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e3.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e10.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e45.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e3.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e4.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e3.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e1.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e9.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e80.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e5.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e4.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e2.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e10.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e45.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e5.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e4.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e2.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e7.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e43.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e3.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e2.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e9.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e51.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e3.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e3.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e1.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e6.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e40.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e3.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e3.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e2.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e5.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e45.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e3.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e3.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e2.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e8.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e38.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e3.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e2.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e3.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e1.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e5.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 18.9271%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e72.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10.5263%;\"\u003e\n \u003cp\u003e4.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e4.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.60324%;\"\u003e\n \u003cp\u003e4.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9.51417%;\"\u003e\n \u003cp\u003e1.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e7.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 11.4372%;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1f. Performance of tomato parental crosses (hybrids) for yield and yield contributing characteristics of tomato\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"962\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of locules\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLength of fruit stalk (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSeed yield per fruit (g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of seeds per fruit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSeed germination (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eElectrical conductivity (\u0026mu;S/cm/g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e3.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e3.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e330\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e92.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e81.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e33.17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e3.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e235\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e97.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e85.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e26.49\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e195\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e44.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e84.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e28.76\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e3.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e70.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e80.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e63.58\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e24.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e87.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n 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14.0333%;\"\u003e\n \u003cp\u003e89.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e76.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e34.51\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e3.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e390\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e124.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e87.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e23.48\u003c/p\u003e\n \u003c/td\u003e\n 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style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e275\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e114.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e72.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e19.83\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e290\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e125.00\u003c/p\u003e\n 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style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e5.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e290\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e86.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e83.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e21.72\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e4.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n 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16.1123%;\"\u003e\n \u003cp\u003e88.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e18.42\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e4.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e146\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e63.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e87.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e24.10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n 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\u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e38.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e86.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e23.82\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e31.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e87.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e26.85\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e4.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e295\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e115.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e73.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e25.67\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e3.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e49.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e76.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e27.41\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e3.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e115\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e64.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e70.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e22.67\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e3.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e215\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e83.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e77.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e24.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 19.3347%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.66736%;\"\u003e\n \u003cp\u003e5.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.1622%;\"\u003e\n \u003cp\u003e2.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4345%;\"\u003e\n \u003cp\u003e195\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.0333%;\"\u003e\n \u003cp\u003e63.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.1123%;\"\u003e\n \u003cp\u003e76.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.2557%;\"\u003e\n \u003cp\u003e27.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2a. ANOVA for combining ability\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"974\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17.2308%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSource of variation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6667%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDF\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.7692%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWeight of fruits\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTSS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.76923%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit length\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit width\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.74359%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThickness of pericarp\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize of locules\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit firmness\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize at blossom end\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17.2308%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eReplications\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6667%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.7692%;\"\u003e\n \u003cp\u003e18.422\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.017\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.76923%;\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.74359%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e0.129**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.042\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17.2308%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTreatments\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6667%;\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.7692%;\"\u003e\n \u003cp\u003e1467.23**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e1.161**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.76923%;\"\u003e\n \u003cp\u003e2.169**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e3.233**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.74359%;\"\u003e\n \u003cp\u003e0.104**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e1.135**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e8.583**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.019**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17.2308%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eParents\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6667%;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.7692%;\"\u003e\n \u003cp\u003e932.99**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e1.191**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.76923%;\"\u003e\n \u003cp\u003e1.723**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e0.635**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.74359%;\"\u003e\n \u003cp\u003e0.030**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e0.636**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e9.786**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.044**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17.2308%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eParents vs. Crosses\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6667%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.7692%;\"\u003e\n \u003cp\u003e2268.90**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e2.413**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.76923%;\"\u003e\n \u003cp\u003e1.884**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e8.352**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.74359%;\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e0.132*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e17.155**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.187**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17.2308%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCrosses\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6667%;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.7692%;\"\u003e\n \u003cp\u003e1634.16**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e1.098**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.76923%;\"\u003e\n \u003cp\u003e2.347**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e3.993**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.74359%;\"\u003e\n \u003cp\u003e0.136**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e1.365**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e8.130**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.002**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17.2308%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLines\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6667%;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.7692%;\"\u003e\n \u003cp\u003e5906.65**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e1.785\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.76923%;\"\u003e\n \u003cp\u003e7.668**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e16.556**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.74359%;\"\u003e\n \u003cp\u003e0.648**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e3.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e9.667\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.005*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17.2308%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTesters\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6667%;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.7692%;\"\u003e\n \u003cp\u003e295.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.431\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.76923%;\"\u003e\n \u003cp\u003e1.472\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e0.816\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.74359%;\"\u003e\n \u003cp\u003e0.028\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e1.961\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e6.957\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17.2308%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLines \u0026times; Testers\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6667%;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.7692%;\"\u003e\n \u003cp\u003e900.584**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e1.093**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.76923%;\"\u003e\n \u003cp\u003e1.236**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e1.647**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.74359%;\"\u003e\n \u003cp\u003e0.036**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e0.782**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e8.038**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.002*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17.2308%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eError\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6667%;\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14.7692%;\"\u003e\n \u003cp\u003e53.513\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.76923%;\"\u003e\n \u003cp\u003e0.106\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.74359%;\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.71795%;\"\u003e\n \u003cp\u003e0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.465\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.79487%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2b. ANOVA for combining ability\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"973\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21.3772%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSource of variation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.68037%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDF\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6886%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of locules\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.76362%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLength of fruit stalk\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.73587%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSeed yield/fruit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5663%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of seeds/fruit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6413%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGermination\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5468%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eElectrical conductivity\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21.3772%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eReplications\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.68037%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6886%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.76362%;\"\u003e\n \u003cp\u003e0.302**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.73587%;\"\u003e\n \u003cp\u003e30.229\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5663%;\"\u003e\n \u003cp\u003e248.914\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6413%;\"\u003e\n \u003cp\u003e17.5**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5468%;\"\u003e\n \u003cp\u003e0.700**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21.3772%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTreatments\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.68037%;\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6886%;\"\u003e\n \u003cp\u003e2.538\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.76362%;\"\u003e\n \u003cp\u003e0.172**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.73587%;\"\u003e\n \u003cp\u003e14322.92**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5663%;\"\u003e\n \u003cp\u003e2308.65**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6413%;\"\u003e\n \u003cp\u003e238.867\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5468%;\"\u003e\n \u003cp\u003e420.461**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21.3772%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eParents\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.68037%;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6886%;\"\u003e\n \u003cp\u003e3.200**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.76362%;\"\u003e\n \u003cp\u003e0.352**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.73587%;\"\u003e\n \u003cp\u003e7596.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5663%;\"\u003e\n \u003cp\u003e343.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6413%;\"\u003e\n \u003cp\u003e560.467**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5468%;\"\u003e\n \u003cp\u003e311.137**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21.3772%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eParents vs. Crosses\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.68037%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6886%;\"\u003e\n \u003cp\u003e2.766**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.76362%;\"\u003e\n \u003cp\u003e0.048*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.73587%;\"\u003e\n \u003cp\u003e337.423\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5663%;\"\u003e\n \u003cp\u003e13245.75**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6413%;\"\u003e\n \u003cp\u003e1289.286**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5468%;\"\u003e\n \u003cp\u003e6763.008**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21.3772%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCrosses\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.68037%;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6886%;\"\u003e\n \u003cp\u003e2.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.76362%;\"\u003e\n \u003cp\u003e0.110**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.73587%;\"\u003e\n \u003cp\u003e17428.11**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5663%;\"\u003e\n \u003cp\u003e2590.042**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6413%;\"\u003e\n \u003cp\u003e74.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5468%;\"\u003e\n \u003cp\u003e197.184**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21.3772%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLines\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.68037%;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6886%;\"\u003e\n \u003cp\u003e5.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.76362%;\"\u003e\n \u003cp\u003e0.283\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.73587%;\"\u003e\n \u003cp\u003e41736.28**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5663%;\"\u003e\n \u003cp\u003e5878.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6413%;\"\u003e\n \u003cp\u003e300.800**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5468%;\"\u003e\n \u003cp\u003e510.06\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21.3772%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTesters\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.68037%;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6886%;\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.76362%;\"\u003e\n \u003cp\u003e0.074\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.73587%;\"\u003e\n \u003cp\u003e26606.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5663%;\"\u003e\n \u003cp\u003e4544.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6413%;\"\u003e\n \u003cp\u003e49.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5468%;\"\u003e\n \u003cp\u003e65.761\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21.3772%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLines \u0026times; Testers\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.68037%;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6886%;\"\u003e\n \u003cp\u003e2.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.76362%;\"\u003e\n \u003cp\u003e0.076**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.73587%;\"\u003e\n \u003cp\u003e9056.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5663%;\"\u003e\n \u003cp\u003e1279.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6413%;\"\u003e\n \u003cp\u003e24.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5468%;\"\u003e\n \u003cp\u003e151.821**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 21.3772%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eError\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.68037%;\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.6886%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.76362%;\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8.73587%;\"\u003e\n \u003cp\u003e3785.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5663%;\"\u003e\n \u003cp\u003e550.356\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.6413%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.5468%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3a. Estimation of \u003cem\u003egca\u003c/em\u003e effects on lines\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eof tomato\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLines\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWeight of fruits (g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.375%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTSS (Brix)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit length (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit width (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThickness of pericarp (mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize of locules (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit firmness (lb/kg)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.790\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.375%;\"\u003e\n \u003cp\u003e-0.114**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e0.629**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-0.545**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.036**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.356**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.106\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e5.690*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.375%;\"\u003e\n \u003cp\u003e0.236**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-0.212**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e0.276*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.411**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.776**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-0.380\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-16\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e37.670**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.375%;\"\u003e\n \u003cp\u003e0.586**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e0.891**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e2.121**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-0.037*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-0.374**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.332\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-17\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-19.780**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.375%;\"\u003e\n \u003cp\u003e-0.514**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-0.785**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-0.166**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-0.174**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e1.312**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-23\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-22.790**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.375%;\"\u003e\n \u003cp\u003e-0.194**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-1.353**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-1.065**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-0.245**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-0.584**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-1.371**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSEm\u0026plusmn;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e1.7797\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.375%;\"\u003e\n \u003cp\u003e0.025\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e0.048\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e0.086\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.040\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.186\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 5%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e3.673\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.375%;\"\u003e\n \u003cp\u003e0.052\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e0.098\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e0.178\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.025\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.083\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.384\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 1%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e4.978\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.375%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e0.133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e0.241\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.112\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.520\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3 b. Estimation of \u003cem\u003egca\u003c/em\u003e effects on lines\u003c/strong\u003e\u003cstrong\u003eof tomato\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLines\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize at blossom end (mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of locules\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLength of fruit stalk (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSeed yield per fruit (mg)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of seeds per fruit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGermination (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.6667%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eElectrical conductivity (\u0026mu;S/cm/g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.014**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.760**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.182**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-19.840\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-11.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e3.60**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.6667%;\"\u003e\n \u003cp\u003e11.906**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.027**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.360**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.228**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e60.160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e11.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e1.00**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.6667%;\"\u003e\n \u003cp\u003e0.850**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-16\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e1.040**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.062*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e65.160*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e33.60**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-5.80**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.6667%;\"\u003e\n \u003cp\u003e-6.416**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-17\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.020**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.360**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.102**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-90.640*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-30.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e6.60**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.6667%;\"\u003e\n \u003cp\u003e-3.548**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-23\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.028**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.440**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.118**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-14.840\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-2.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-5.40**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.6667%;\"\u003e\n \u003cp\u003e-2.792**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSEm\u0026plusmn;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.0049\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.0217\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e22.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e8.521\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.6667%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 5%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.0101\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.048\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e47.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e17.586\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.6667%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.5%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 1%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.0137\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.067\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e64.306\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e23.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16.6667%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3 c. Estimation of g\u003cem\u003eca\u003c/em\u003e effects on tester\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eof tomato\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTester\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWeight of fruits (g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTSS (Brix)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit length (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit width (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThickness of pericarp (mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.4639%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize of locules (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.4021%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit firmness (lb/kg)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-21\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e0.270\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.336**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e-0.471**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.015\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e0.043*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.4639%;\"\u003e\n \u003cp\u003e0.266**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.4021%;\"\u003e\n \u003cp\u003e0.858**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-24\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e-2.110\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.144**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.224**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.250*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e0.045**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.4639%;\"\u003e\n \u003cp\u003e-0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.4021%;\"\u003e\n \u003cp\u003e0.459\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-26\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e7.420**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.066\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.281**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.125\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.4639%;\"\u003e\n \u003cp\u003e0.356**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.4021%;\"\u003e\n \u003cp\u003e0.332\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-28\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e1.860\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.104**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.327**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.416**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e-0.011\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.4639%;\"\u003e\n \u003cp\u003e0.136*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.4021%;\"\u003e\n \u003cp\u003e-0.398\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-29\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e-7.440**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.154**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e-0.362**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.274*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e-0.084**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.4639%;\"\u003e\n \u003cp\u003e-0.754**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.4021%;\"\u003e\n \u003cp\u003e-1.252**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSEm\u0026plusmn;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e1.7797\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.025\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.048\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.086\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e0.012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.4639%;\"\u003e\n \u003cp\u003e0.040\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.4021%;\"\u003e\n \u003cp\u003e0.186\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 5%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e3.673\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.052\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.098\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.178\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e0.025\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.4639%;\"\u003e\n \u003cp\u003e0.083\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.4021%;\"\u003e\n \u003cp\u003e0.384\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 1%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e4.978\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.241\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e0.033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.4639%;\"\u003e\n \u003cp\u003e0.112\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.4021%;\"\u003e\n \u003cp\u003e0.520\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3d. Estimation of \u003cem\u003egca\u003c/em\u003e effects on tester\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eof tomato\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTester\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize at blossom end (mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of locules\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLength of fruit stalk (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSeed yield per fruit (mg)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of seeds per fruit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGermination (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eElectrical conductivity (\u0026mu;S/cm/g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-21\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.017*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.040**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.028\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e69.160*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e20.100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-0.200**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-3.618**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-24\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.160**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.078*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e19.360\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e9.400\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-1.000**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-0.588**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-26\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.240**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-35.840\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e3.800\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-3.000**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-0.546**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-28\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.160**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.142**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e11.160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e2.800\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e2.800**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e3.176**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-29\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.011\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.040**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.048\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-63.840\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e-36.100**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e1.400**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e1.576**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSEm\u0026plusmn;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.0049\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.0217\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e22.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e8.521\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 5%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.0101\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.048\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e47.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e17.586\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD @ 1%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.0137\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.067\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e64.306\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e23.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 15.625%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4a. \u0026nbsp;Overall general combining ability status of testers of tomato\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30.6122%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTesters\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 26.5306%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal rank\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 42.8571%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall GCA status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30.6122%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-21\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 26.5306%;\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 42.8571%;\"\u003e\n \u003cp\u003eH\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30.6122%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-24\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 26.5306%;\"\u003e\n \u003cp\u003e45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 42.8571%;\"\u003e\n \u003cp\u003eH\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30.6122%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-26\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 26.5306%;\"\u003e\n \u003cp\u003e37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 42.8571%;\"\u003e\n \u003cp\u003eH\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30.6122%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-28\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 26.5306%;\"\u003e\n \u003cp\u003e42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 42.8571%;\"\u003e\n \u003cp\u003eH\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30.6122%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-29\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 26.5306%;\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 42.8571%;\"\u003e\n \u003cp\u003eL\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003eFinal norm: 45 \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4b. \u0026nbsp; Overall general combining ability status of lines of tomato\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 29.2929%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLines\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 27.2727%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal rank\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 43.4343%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall GCA status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 29.2929%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 27.2727%;\"\u003e\n \u003cp\u003e39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 43.4343%;\"\u003e\n \u003cp\u003eH\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 29.2929%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 27.2727%;\"\u003e\n \u003cp\u003e42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 43.4343%;\"\u003e\n \u003cp\u003eH\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 29.2929%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-16\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 27.2727%;\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 43.4343%;\"\u003e\n \u003cp\u003eH\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 29.2929%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-17\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 27.2727%;\"\u003e\n \u003cp\u003e52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 43.4343%;\"\u003e\n \u003cp\u003eL\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 29.2929%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-23\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 27.2727%;\"\u003e\n \u003cp\u003e61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 43.4343%;\"\u003e\n \u003cp\u003eL\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003eFinal norm: 44.8 \u0026nbsp; \u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eH: \u0026nbsp;High overall general combiner, L: Low overall general combiner\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNote:\u003c/strong\u003e Arranged data in ascending order\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5 a. Estimates\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;of specific combining ability effects (sca) in crosses for yield and yield contributing characteristics of tomato\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHybrids\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWeight of fruits (g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTSS (Brix)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit length (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit width (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThickness of pericarp (mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize of locules (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit firmness (lb/kg)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize at blossom end (mm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e24.780**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e-0.856**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.330*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.065\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.052\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e0.404**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e2.672**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e6.160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e-0.176*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.575**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.250\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.075*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e-0.126\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e3.136**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e0.035*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-11.870**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e0.714**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.407**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.325\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.039\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e0.314*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-2.457**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-8.660\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e0.384**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.067\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.966**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e-0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e-0.466**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-2.497**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-0.066**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-10.410\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e-0.066\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.096\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.324\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e-0.121**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e-0.126\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-0.853\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e0.028\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e19.250**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e1.094**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.211\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.954**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e-0.223**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e-0.316*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-1.657**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-1.570\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e1.324**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.416**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.056\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.050\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e0.354**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-1.153\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-0.024\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-17.800**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e-0.336**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.041\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-1.456**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.089\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e0.494**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e0.724\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e0.010\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e26.860**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e-0.766**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.038\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.978**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.206**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e0.614**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e2.919**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e0.025\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-26.740**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e-1.316**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.623\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.422\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e-0.121**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n 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18.5567%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-4.750\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e-0.376**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.640**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.140\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e-0.158**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e-0.296*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-0.630\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n 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9.27835%;\"\u003e\n \u003cp\u003e-2.320\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e0.284**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.954**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-1.286**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.081*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e-0.346**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e0.921\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e1.180\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e0.224**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.422**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.465\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e-0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e-0.856**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-1.251*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-6.940\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e-0.196*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.343*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e0.070\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e-0.039\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e0.214\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-1.497*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-11.620*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e-0.356**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.340*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.155\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e-0.010\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e-0.046\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e1.265*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e0.015\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-13.210*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e-0.336**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.881**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e-0.696*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e-0.033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e-0.176\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-0.355\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e30.590**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e0.664**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e1.143**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e1.244**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e0.090*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e0.864**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e1.839**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e-0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSE\u0026plusmn;m\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e3.9794\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0579\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.1067\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.1923\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0266\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0895\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.4155\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0109\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD (P=0.05)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e8.2132\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.1154\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.2201\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.3968\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0549\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.1848\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.8576\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0225\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18.5567%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD (P=0.01)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e11.1303\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7.21649%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.1564\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.2983\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.27835%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.5378\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.3402%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0745\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.3093%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.2504\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.1622\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.3711%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0306\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5 b.\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eEstimates of specific combining ability effects (sca) in crosses for yield and yield contributing characteristics of tomato\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHybrids\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of locules\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLength of fruit stalk (cm)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSeed yield / fruit (mg)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of seeds /fruit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGermination (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eElectrical conductivity (\u0026mu;S/cm/g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.560**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.358**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e71.840\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e6.300\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-2.200**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e-3.284**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.760**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-0.342**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e26.640\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e22.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e2.600**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e-12.994**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.640**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-0.132\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e41.840\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-24.900\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e3.600**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e-10.766**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.240**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.138*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-115.160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e1.600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-6.200**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e20.322**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.440**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-25.160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-5.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e2.200**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e6.712**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n 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21.875%;\"\u003e\n \u003cp\u003e-1.442**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e1.560**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.188**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e66.840\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e51.600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-1.000**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e1.056**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.960**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-0.042\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e4.840\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-27.900\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e6.200**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e-3.206**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.240**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.148*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-0.160\u003c/p\u003e\n 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21.875%;\"\u003e\n \u003cp\u003e-2.580**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e1.360**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.138*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e8.440\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e6.800\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e1.600**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e0.070**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.040**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-0.052\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e27.640\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-8.100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e0.600**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e5.828**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.640**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-9.360\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-11.600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-3.200**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e-3.974**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.840**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e25.640\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e20.800\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-0.800**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e0.656**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e0.360**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e31.840\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e20.400\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-1.200**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e3.914**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.440**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.158*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-63.360\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-35.400\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e2.600**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e2.624**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.840**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.068\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-43.160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-14.800\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-1.400**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e-2.158**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e-0.440**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e-0.262**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e9.840\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e5.200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e-0.200**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e-4.440**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e1.360**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e0.028\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e64.840\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e24.600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e0.200**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e0.060**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSEm\u0026plusmn;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.000\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.0486\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e51.410\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e19.0531\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.000\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.000\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD (P=0.05)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.000\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.1002\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e106.106\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e39.3240\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.000\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.000\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20.8333%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD (P=0.01)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.000\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.5417%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.1358\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e143.792\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10.4167%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e53.2908\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.4583%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.000\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21.875%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.000\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 6. Overall specific combining ability status of lines and testers of tomato\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"103%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 18%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTester\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"5\" style=\"width: 81%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLines\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-3 (H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-4\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-16\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-17 (L)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-23 (L)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-21 (H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e209 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e200 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e168 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e169 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e166 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-24 (H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e206 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e163 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e141 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e164 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e121 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-26 (H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e177 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e161 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e202 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e152 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e142 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-28 (H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e162 \u0026nbsp;(H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e268 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e185 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e155 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e164 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-29 (L)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e135 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e161 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e146 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e170 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e226 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eFinal norm : 172.52\u003c/strong\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;H: \u0026nbsp;High overall general combiner\u003c/p\u003e\n\u003cp\u003eL: Low overall general combiner\u003c/p\u003e\n\u003cp\u003eNote : Arranged the data in Ascending order\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 7. Estimates of\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003evariance components for different traits of tomato\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"97%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCharacteristics\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026sigma;\u003csup\u003e2\u003c/sup\u003eGCA\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026sigma;\u003csup\u003e2\u003c/sup\u003eSCA\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026sigma;\u003csup\u003e2\u003c/sup\u003eGCA/ \u0026sigma;\u003csup\u003e2\u003c/sup\u003eSCA\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eWeight of the fruits\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e27.509\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e434.456\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.0633\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eTotal soluble solids\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e0.0002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e0.5435\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.0004\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eFruit length\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e0.0417\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e0.6067\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.0687\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eFruit width\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e0.0880\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e0.7886\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.1116\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eThickness of pericarp\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e0.0038\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e0.0171\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.2222\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eSize of locules\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e0.0219\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e0.3828\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.0572\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eFruit firmness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e0.0034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e3.8464\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.0009\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eSize at blossom end\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e0.0000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e0.0007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.0000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eNumber of locules\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e0.0094\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e1.0150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.0093\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eLength of fruit stalk\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e0.0013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e0.0356\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.0365\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eSeed yield/fruit\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e313.934\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e1885.275\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.1665\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eNumber of seeds/fruit\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e49.1575\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e276.5667\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.1777\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eGermination\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e1.8881\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e12.0750\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.1564\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.404%;\"\u003e\n \u003cp\u003eElectrical conductivity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 14.1414%;\"\u003e\n \u003cp\u003e1.7011\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.1717%;\"\u003e\n \u003cp\u003e75.9104\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28.2828%;\"\u003e\n \u003cp\u003e0.0224\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 8.\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eProportional contribution of lines, testers and line \u0026times; tester interaction towards total variance(in percentage) in tomato\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"97%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCharacteristics\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLine\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTester\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLine \u0026times; Tester\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eWeight of the fruits\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e60.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e3.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e36.74\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eTotal soluble solids\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e27.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e6.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e66.37\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eFruit length\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e54.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e10.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e35.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eFruit width\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e69.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e3.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e27.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eThickness of pericarp\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e79.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e3.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e17.41\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eSize of locules\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e37.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e23.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e38.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eFruit firmness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e19.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e14.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e65.92\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eSize at blossom end\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e41.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e9.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e49.64\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eNumber of locules\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e38.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e2.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e59.36\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eLength of fruit stalk\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e42.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e11.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e45.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eSeed yield/fruit\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e39.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e25.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e34.64\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eNumber of seeds/fruit\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e37.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e29.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e32.93\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eGermination\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e67.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e11.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e21.61\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 40.8163%;\"\u003e\n \u003cp\u003eElectrical conductivity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17.3469%;\"\u003e\n \u003cp\u003e43.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19.3878%;\"\u003e\n \u003cp\u003e5.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22.449%;\"\u003e\n \u003cp\u003e51.33\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 9 a. \u0026nbsp;Estimates of mid-parent, better parent and standard check heterosis of 25 crosses for weight of fruit, total soluble solids and fruit length of tomato\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 18%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSCH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 27%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWeight of fruits\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 25%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal Soluble solids\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 28%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit length\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e113.57*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e83.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e115.75*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-24.76*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-34.71*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-11.24*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-13.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-27.20*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-27.20*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e71.49*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e49.95*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e100.26*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-6.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-6.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-6.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e12.84*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-1.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-1.60\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e12.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-17.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e77.81*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e5.53*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-4.55*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e17.98*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-2.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-16.40*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-16.40*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-5.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-35.08*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e71.6*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-10.80*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-23.39*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e6.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-8.08*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-8.08*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-8.08*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e2.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-20.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e42.4*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-14.14*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-22.02*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-4.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-13.45*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-18.64*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-18.64*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e108.87*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e85.13*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e158.26*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e22.55*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e3.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e40.45*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-32.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e63.22*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e47.48*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e96.96*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e39.53*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e34.83*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e34.83*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e15.08*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e10.75*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-17.60*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e10.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-16.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e79.26*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-5.70*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-17.27*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e2.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e7.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e5.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-24.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e51.86*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e6.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n 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\u003cp\u003e20.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-18.84*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-32.26*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-5.62*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-18.19*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-19.46*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-16.88*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-26.26*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-36.46*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e13.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-12.50*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-22.94*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-5.62*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-42.26*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-46.51*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-44.80*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-23.67*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-37.06*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e35.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-11.21*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-18.18*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e11.24*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-20.95*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-21.88*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-46.88*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-38.29*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-49.97*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e7.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-15.18*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-20.59*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-8.99*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-26.14*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-30.11*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-48.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-44.08*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e44.14*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e20.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-22.64*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-25.45*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-7.87*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-23.47*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-26.44*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-47.04*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-57.66*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e61.62*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e1.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-30.09*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-36.29*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-11.24*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-45.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-54.96*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-54.96*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-2.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e10.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e92.60*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-7.11*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-10.09*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e10.11*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-13.99*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-24.55*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-33.60*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 9 b. Estimates of mid-parent, better parent and standard check heterosis of 25 crosses for fruit width, thickness of pericarp and size of locules in tomato\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 18%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSCH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 30%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit width\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 25%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThickness of pericarp\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 26%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize of locules\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-19.81*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-23.15*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-16.16*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e17.42*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e6.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-10.39*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-10.39*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-12.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-17.17*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-17.17*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e3.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e3.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e3.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-18.46*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e31.17*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-31.17*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-12.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-16.51*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-8.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e16.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-6.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-6.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e13.11*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-10.39*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-10.39*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-32.38*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-36.04*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-28.28*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-24.24*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-28.57*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-19.35*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-25.76*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-36.36*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-36.36*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-18.23*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-20.19*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-16.16*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-33.80*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-38.71*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-38.71*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-39.68*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-50.65*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-50.65*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e3.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-1.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e18.38*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e37.80*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e20.69*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e12.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e23.53*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e18.87*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-18.18*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-11.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-22.44*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-6.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e53.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e48.39*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e48.39*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e39.22*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e33.96*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n 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\u003cp\u003e-46.75*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-12.99*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-15.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-7.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e27.05*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e14.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e43.75*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e30.19*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-10.39*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-21.87*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-27.18*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-24.24*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-49.66*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-52.90*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-52.90*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-18.75*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-26.42*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-49.35*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-19.53*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-21.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-13.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-29.57*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-40.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-47.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e6.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e4.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-38.96*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-17.85*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-20.81*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-11.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-52.26*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-57.71*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-52.26*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-4.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-14.55*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-38.96*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-55.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-55.77*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-53.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-28.84*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-29.63*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-38.71*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-50.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-53.06*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-70.13*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-42.86*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-43.12*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-37.37*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-22.32*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-24.35*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-43.87*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-50.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-52.83*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-67.53*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-31.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-37.61*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-31.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-40.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-47.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-47.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-18.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-22.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-46.75*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-34.86*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-34.86*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-28.28*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-24.76*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-31.30*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-49.03*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-6.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-8.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-44.16*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-40.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-40.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-33.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-51.03*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-59.43*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-54.19*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-29.41*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-34.55*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-53.25*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-14.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-16.51*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-8.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-34.41*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-38.64*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-47.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-18.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-20.41*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-49.35*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 9 c. Estimates of mid-parent, better parent and standard check heterosis of 25 crosses for fruit firmness, size at blossom end and number of locules in tomato\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 18%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSCH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 26%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFruit firmness\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 25%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSize at blossom end\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 28%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of locules\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e38.26*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e32.60*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e44.43*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-57.60*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-61.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-61.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-25.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-50.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e50.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e40.52*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e36.10*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e45.23*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-26.21*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-41.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-41.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-25.00*\u003c/p\u003e\n \u003c/td\u003e\n 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style=\"width: 9%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-32.61*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-34.65*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-34.65*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-80.05*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-85.60*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-72.31*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-15.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-24.92*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-24.92*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-33.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-41.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-41.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-20.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-33.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n 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\u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e104.30*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e55.98*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-60.82*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-64.81*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-70.77*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e33.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e20.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e200.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e90.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e29.47*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e21.66*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-57.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-69.60*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-41.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e42.86*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e150.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e34.03*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-4.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-24.86*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-43.69*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-46.30*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-55.38*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-20.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e100.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e33.64*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e21.41*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e32.25*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-1.03*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-56.60*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-64.62*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-33.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-50.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e50.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e16.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e6.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e13.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-26.98*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-39.47*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-64.62*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e14.29*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e100.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e75.58*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e50.69*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e34.09*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-32.35*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-46.51*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-64.62*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-14.29*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-25.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e50.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-4.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-7.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-12.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-66.67*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-80.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-61.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-20.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-33.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e33.43*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e25.59*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e11.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-37.84*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-53.06*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-64.62*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-33.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-33.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-22.77*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-28.42*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-22.03*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-20.51*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-41.51*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-52.31*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-11.11*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-33.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e100.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-29.86*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-34.37*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-29.97*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-1.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-18.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-52.31*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-14.29*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-25.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e50.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e30.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e10.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e2.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e2.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-18.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-46.15*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-14.29*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-25.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e50.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-21.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-21.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-26.46*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-56.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-73.60*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-49.23*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e20.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e50.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e4.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-3.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-9.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-5.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-28.57*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-46.15*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e66.67*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e66.67*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e150.00*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 9 d. Estimates of mid-parent, better parent and standard check heterosis of 25 crosses for length of fruit stalk, seed yield per fruitand number of seeds per fruit in tomato\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 18%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSCH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 23%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLength of fruit stalk\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 25%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSeed yield per \u0026nbsp;fruit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 32%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of seeds \u0026nbsp;per fruit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e5.79*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-7.25*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-7.25*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e78.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e37.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e153.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e31.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e20.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e20.26\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-19.67*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-28.99*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-28.99*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e43.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e18.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e80.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e63.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e26.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e26.80\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-8.33*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-20.29*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-20.29*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e11.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-11.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e50.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-19.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-41.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e-41.83\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-8.70*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-8.70*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-37.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-40.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-34.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e14.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-8.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e-8.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-4.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-18.84*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-18.84*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-38.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-48.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-23.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-58.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-67.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e67.97\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e8.89*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-5.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-28.99*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e51.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e48.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e173.08*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e100.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e69.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e39.87\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e7.69*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-7.55*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-28.99*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e49.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e40.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e146.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e133.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e131.03.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e31.37\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e7.87*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-5.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-30.43*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-37.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-38.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e7.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e131.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e104.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e16.34\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e14.58*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-5.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-20.29*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e109.40*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e70.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e200.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e178.21*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e170.65*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e62.75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e4.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-6.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-34.78*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-33.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-38.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e7.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-44.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-44.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e-68.63\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-6.67*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e-7.55*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-28.99*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-2.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-14.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e111.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e113.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e81.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e49.67\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-23.19*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e11.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-10.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e123.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e187.36*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n 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\u003cp\u003e10.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e-35.95\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e10.42*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e3.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-23.19*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-55.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-60.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e-11.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e64.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e43.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e-16.34\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-4.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e15.52*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-28.99*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-1.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-26.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e65.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e83.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e80.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e8.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 18%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e9.68*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 7%;\"\u003e\n \u003cp\u003e6.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-26.09*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-20.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 8%;\"\u003e\n \u003cp\u003e-33.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e50.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e45.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003e42.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12%;\"\u003e\n \u003cp\u003e-16.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 9 e.Estimates of mid-parent, better parent and standard check heterosis of 25 crosses for seed germination and electrical conductivity in tomato\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 22%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSCH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 43%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSeed germination\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 34%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eElectrical conductivity\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMid\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBetter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e5.16*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e5.16*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e5.16*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-35.15*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-39.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-39.64*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e36.80*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e10.32*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e10.32*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-46.63*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-51.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-51.79*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e10.46*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e9.03*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e9.03*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-44.52*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-47.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-47.66*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e-6.40*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e-14.81*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e3.87*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e43.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e15.71*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e15.71*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-3\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e12.18*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e11.46*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e12.90*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-22.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-30.30*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-11.99*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e10.46*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e9.03*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e9.03*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-55.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-62.72*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-53.32*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e22.76*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e-2.58*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-28.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-41.62*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-26.90*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e1.32*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e1.32*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e-1.29*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-41.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-49.85*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-37.20*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e2.94*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e-7.41*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e12.90*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-54.15*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-65.88*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-57.27*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-4\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e7.14*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e5.10*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e6.45*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-69.22*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-69.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-61.29*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e26.09*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e-6.45*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e-6.45*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-58.69*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-59.25*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-63.91*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e68.24*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e50.53*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e-7.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-57.58*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-59.47*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-64.11*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e24.78*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e-6.62*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e-9.03*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-54.28*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-54.31*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-59.49*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e26.52*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e-11.64*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e7.74*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-47.19*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-55.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-60.47*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-16\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e28.45*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e-5.10*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e-3.87*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-57.27*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-63.65*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-54.10*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e24.65*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e14.19*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e14.19*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-53.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-61.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-66.48**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e56.25*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e35.66*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e12.90*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-36.66*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-45.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-56.14*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e20.71*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e11.92*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e9.03*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-25.72*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-38.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e45.59**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e8.81*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e-8.47*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e11.61*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-27.14*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-29.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-56.65*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-17\u0026times;NBLTM-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e22.38*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e11.46*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e12.90*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-46.92*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-61.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-51.14*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 22%;\"\u003e\n \u003cp\u003eNBLTM-23\u0026times;NBLTM-21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e-6.37*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 14%;\"\u003e\n \u003cp\u003e-7.55*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13%;\"\u003e\n \u003cp\u003e-5.16*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-48.15*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 10%;\"\u003e\n \u003cp\u003e-50.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11%;\"\u003e\n \u003cp\u003e-53.28*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 10. Over all heterotic status of crosses in tomato\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"102%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 17%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTESTER\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"5\" style=\"width: 82%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLINES\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-3 (H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-4 (H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-16 (H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-17 (L)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-23 (L)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-21 (H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e175 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e150 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e182 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e185 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e189 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-24 (H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e125 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e117 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e117 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e155 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e199 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-26 (H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e188 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e142 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e96 \u0026nbsp;(H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e158 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e171 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-28 (H)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e235 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e165 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e147 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e216 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e204 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNBLTM-29 (L)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e217 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e245 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17%;\"\u003e\n \u003cp\u003e141 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e233 (L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16%;\"\u003e\n \u003cp\u003e155 (H)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003eFinal norm : 172.28\u0026nbsp;\u003c/strong\u003eH: \u0026nbsp; High heterotic status\u003c/p\u003e\n\u003cp\u003eL: Low heterotic status\u003c/p\u003e\n\u003cp\u003eNote : Arranged the data in Ascending order\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"University of Agricultural Sciences, Bangalore","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Tomato genotypes, ToLCV, Ty gene, Tester, Lines, General Combining Ability, Specific Combining Ability, Heterosis","lastPublishedDoi":"10.21203/rs.3.rs-5229104/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5229104/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study investigates the genetic potential of various lines and testers for breeding purposes, emphasizing the importance of General Combining Ability (GCA) and Specific Combining Ability (SCA) in enhancing crop traits. Lines NBLTM-3, NBLTM-4, and NBLTM-16, along with testers NBLTM-21, NBLTM-24, NBLTM-26, and NBLTM-28, exhibited high GCA, indicating their consistent positive contributions to trait performance. Notably, 68% of the evaluated hybrids displayed high SCA across fourteen traits, highlighting effective combinations and the predominance of non-additive gene action. The analysis revealed that line contributions were more significant than those of testers, with line × tester interactions playing a critical role in hybrid performance. Twelve hybrids demonstrated high overall heterotic status, with NBLTM-4 × NBLTM-29 and NBLTM-3 × NBLTM-28 leading in heterotic responses. Positive heterosis was observed in key traits such as fruit weight and total soluble solids, while negative heterosis was noted in traits like blossom end size. These findings underscore the potential for developing superior hybrids to boost agricultural productivity by focusing on the strengths of both parental lines and hybrid selection.\u003c/p\u003e","manuscriptTitle":"Determination of general combining ability and Heterosis for yield and quality of tomato inbred lines","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-10-10 14:51:32","doi":"10.21203/rs.3.rs-5229104/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"28005e19-6195-4538-b87f-297007e3bba6","owner":[],"postedDate":"October 10th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":38712963,"name":"Horticulture"},{"id":38712964,"name":"Virology"},{"id":38712965,"name":"Population Genetics"}],"tags":[],"updatedAt":"2024-10-10T14:51:32+00:00","versionOfRecord":[],"versionCreatedAt":"2024-10-10 14:51:32","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5229104","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5229104","identity":"rs-5229104","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}