QTL mapping of agronomic traits in maize (Zea mays L.) grown in a low- phosphorus environment

QTL mapping of agronomic traits in maize (Zea mays L.) grown in a low- phosphorus environment | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Short Report QTL mapping of agronomic traits in maize (Zea mays L.) grown in a low- phosphorus environment Bu Lin, Xiaolan Hu, Hanlei Wang, Zhang Zhi, Min Wen, Hongbo Qiu, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8796553/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 16 You are reading this latest preprint version Abstract Growing maize in soils that lack available phosphorus, an essential nutrient for plant growth, can lead to dwarf plants with weak roots and small leaves. It is also difficult for plants to absorb phosphorus from the soil environment. Developing maize varieties that efficiently utilize phosphorus would help to overcome this problem. However, relevant QTL need to be identified to achieve this goal. In this study, a QTL analysis was conducted of a maize F 2:3 population grown in a low-phosphorus soil environment at three different planting sites. The population consisted of 180 individual plants produced from a cross between a high-phosphorus efficiency genotype (082) and a low-phosphorus efficiency genotype (Ye107). The QTL analysis identified five stable QTLs associated with several important agronomic traits. The QTLs were identified in the same marker interval in the populations planted at the three different planting sites. Four QTLs identified the mapping population at one planting site were close to the five QTLs in the joint analysis of all planting sites, indicating that there may be common QTLs near these markers. Some one-cause-multiple-effect QTLs that may share genetic mechanisms were detected on chromosomes 1, 3, 4, 7, 9 and 10. These were QLA1-1 and QLW1-3, QLA3-1 and QLL3-3, QLA4-1 and QLL4-2, QPH7-1 and QTBN7-3, QPH9-2 and QTBN9-4, QLA9-1, QSD9-3 and QLW9-6, LA10-1 and QLW10-3, QLA10-1 and QLW10-3, and QLW10-3. QLW9-6, and LA10-1 and QLW10-3. This study provides a foundation for marker-assisted breeding of maize under low-phosphorus conditions. Maize (Zea mays L.) Low-phosphorus stress Agronomic traits QTL mapping Figures Figure 1 1 Introduction Crops require macronutrients such as nitrogen, phosphorus, and potassium, for optimal growth, development, and yield. Phosphorus is particularly important in cellular processes, including nucleic acid synthesis, photosynthesis, respiration, glycolysis, membrane synthesis and stabilization, redox reactions, signal transduction, and nitrogen fixation (García et al., 2024; Raghothama et al., 2005; Abel et al., 2002 ; Vance et al., 2003 ). Although total phosphorus content in most soils is high, the amount of phosphorus that can be readily absorbed and utilized by plants is low (Li et al., 2021 ;Prathap et al., 2022 ). Plant roots absorb phosphorus from the rhizosphere as phosphate (Pi), which is generally present in low concentrations in soil solutions. Therefore, the diffusion of Pi to roots for uptake is slow, making it difficult to obtain (Batjes et al., 1997༛White et al., 2008). Maize is one the most widely grown crops globally and is a staple food product for both animals and humans, and whose byproducts are utilized industrially for many purposes (Calderón-Vázquez et al., 2011 ). Growing maize in soils that lack available phosphorus can lead to dwarf plants with weak roots and small leaves. Symptoms of phosphorus deficiency in maize initially appear as chlorosis at the leaf tips and margins, which eventually turn purple-red in color. The purple-red discoloration gradually spreads to the base of the leaf before the leaf tip turns brown and dies. Phosphorus deficiency has a negative impact on root development, resulting in decreased root volume. A sparse panicle phenotype can also occur when female panicle pollination is disrupted due to a phosphorus deficiency, resulting in grain drying or an absence of fruit. Studies have found that if germinating maize seeds are deficient in phosphorus, symptoms of phosphorus deficiency can occur in growing plants even if sufficient phosphorus is provided at later stages of plant development (Chen, 2016 ). Therefore, low available soil phosphorus has represents an important limiting factor in determining maize yield (Zhang et al., 2020 ). Natural soil phosphorus and phosphorus fertilizers are the main sources of phosphorus (P) required by maize (Song et al., 2009). Although the application of inorganic P fertilizers can alleviate symptoms of phosphorus deficiency, rock minerals, the primary source of inorganic P, are a limited resource that is only expected to last another 60 to 340 years (Laakso et al., 2018 ). The use of phosphorus fertilizers during the planting season is very low, representing only 10–20% of the supply needed by plants, with the remainder being supplied by the soil phosphorus pool. Although long-term applications of phosphorus fertilizer can increase soil phosphorus levels (Zeng et al., 2014 ), most of the phosphorus applied to the soil in agriculture is in an unavailable state, which can lead to wastage of phosphorus (M.A et al.,2004). Macdonald et al. ( 2011 ) demonstrated that only 51 per cent of the phosphorus fertilizer applied to a soil each year is taken up by crops. Phosphorus accumulation occurs from time to time. This indicates the use of large amounts of P fertilizers to increase crop yield is inefficient and not advisable. Maize quality and yield can be improved through the selection of varieties with strong economic traits, including phosphorus utilization. The development of excellent varieties can be assisted by the identification of quantitative trait loci (QTLs) associated with phosphorus absorption and utilization that can be used to select favorable genotypes during the breeding process. QTLs associated with phosphorus-efficient genotypes can be combined with the selection of other important agronomic traits to obtain superior genotypes. SSR (single sequence repeats) markers are uniformly distributed on chromosomes, are highly polymorphic, and allele-rich. They are codominant and can distinguish homozygote from heterozygote genetic traits. Due to their high resolution and easy detection, SSRs are widely used in the genetic analysis of crops, including genome mapping and characterization, phenotypic mapping, marker-assisted selection, and molecular ecology and diversity studies. (McCouch et al, 1997 ;Robinson et al, 2004 ). Notably, SSR markers can be used to identify QTLs associated with agronomic traits in mapping populations. The identification of QTLs associated with enhanced phosphorus utilization in low-phosphorus environments have been conducted in rice (Nirubana et al., 2020 ), wheat (Yang et al., 2021 ), soybean (Li et al., 2016 ), and barley (Gao et al., 2020 ). Several maize studies have also identified QTLs associated with tolerance to low-phosphorus environments (Joshi et al., 2021 ; Ma et al., 2021 ; Gu et al., 2016 ; Qiu et al., 2014 ; Sahito et al., 2020 ). For example, Zhu et al. ( 2005 ) utilized a population of 169 recombinant inbred lines (RILs) of maize grown at two phosphorus levels (low and high) and quantified root hair length and root hair length plasticity in the maize populations. QTL mapping in that study identified a single QTL associated with root hair length under low-phosphorus conditions. Ouma et al. ( 2021 ) measured phosphorus use efficiency and the heritability of related agronomic traits in 32 maize hybrids grown at two phosphorus levels (low and high) and found a significant relationship between shoot phosphorus content and phosphorus efficiency, suggesting that shoot phosphorus content may be a useful parameter for the selection of phosphorus efficiency in maize. Zhang et al. ( 2014 ) conducted a meta-analysis of studies of the genetic analysis of traits related to low P tolerance in maize. The meta-analysis identified 191 QTLs of which 23 were consensus QTLs (cQTLs) and identified 200 candidate genes with those QTLs. Cheng et al. (2018) conducted a genome-wide association analysis in maize and identified multiple single nucleotide polymorphisms (SNPs) associated with multiple agronomic traits. QTLs provide a useful genetic marker for low P tolerance breeding in maize and can be used to identify and locate target trait genes. However, studies have focused on maize root or ear traits associated with maize yield (Gudu et al., 2021; Zhou et al., 2020 ; Yang et al., 2020 ). Fewer QTL mapping studies have focused on aboveground agronomic traits such as Leaf Area, Plant Height, Stem Diameter, Tassel Branch Number, Leaf Width, Leaf Length (LA, PH, TBN, LW, and LL, respectively). In the present study, a QTL mapping study of LF, PH, SD, TBN, LW, and LL was conducted in mapping population of maize genotypes growing in a low phosphorus environment at three locations. The study was conducted to provide a foundation for the marker-assisted breeding of maize cultivars with high-efficiency utilization of phosphorus. 2 Materials and methods 2.1 Plant material and field sites The mapping population consisted of 180 F 2:3 families derived from randomly selected F 2 plants from a cross between inbred 082 (phosphorus-efficient genotype) and Ye107 (phosphorus-inefficient genotype). F 2:3 refers to the progeny population produced by self-crossing of F 2 generation plants, which is designated as a common localization population in the literature and mainly used for preliminary localization of quantitative traits controlled by multiple genes. The use of such populations can reduce test error and improve test accuracy (Zhu, C.et al，2007). Phosphorus efficiency and several phenotypic traits were measured in the field populations. Genetic diversity associated with phosphorus efficiency was identified by amplified fragment length polymorphism (AFLP) marker analysis in 33 lines. Clustering of the AFLP marker and phenotypic traits data revealed that the greatest difference in phosphorus use efficiency was between the 082 and Ye107 maize lines (Chen et al., 2008). Field studies were conducted in 2011 at Beibei (E1) and Hechuan (E2), and in 2012 at Beibei (E3), China. The average temperature in 2011 in Beibei was 18.62℃ and 18.04℃ in Hechuan. The average temperature in Beibei in 2012 was 17.70℃. F 2 genotypes and F 2:3 phenotypes were obtained. The soil at the Beibei field site was a sandy loam soil (pH of 6.6) with an organic matter content of 14600 mg kg −1 . Total N, total P, and total K were 890 mg kg −1 , 761 mg kg −1 , and 14200 mg kg −1 , respectively, at the Bebei site. Available N, P, and K levels were 8.9 mg kg −1 , 3.3 mg kg −1 , and 117 mg kg −1 , respectively, at the Bebei site. The soil at the Hechuan field site was also a sandy loam soil (pH of 7.3) with an organic matter content of 10.6 g kg −1 . Total N, P, and K levels were 734 mg kg −1 ,987 mg kg −1 , and 14100 mg kg −1 , respectively, at the Hechuan site. The available N, P, and K levels were 5.1 mg kg −1 , 3.5 mg kg −1 , and 105 mg kg −1 , respectively, at the Hechuan site. The second national survey of soil nutrient grading standards (China) states that low phosphorus soils are defined as those with an effective phosphorus content < 5 mg kg -1 . Thus, soils at both the Beibei and Hechuan test sites would be classified as low phosphorus soils. Urea-based nitrogen fertilizer at a rate of 120 kg hm −2 was applied at both locations. No phosphorus fertilizers were applied. Planting of the mapping population utilized a completely randomized block design with 180 individual plants, two 18 plants replicated plots for each genotype, with a final planting density of 45,000 hm 2 . Intra-environmental errors were reduced through the use of replicated plots with same fertility level in each replicated plot. Bags were placed on mature plants to enable the phenotyping of self-pollinated plants. 2.2 Phenotypic data collection and analysis LA (cm 2 ), was measured with a leaf area meter, four agronomic traits were measured with a vernier caliper or a tape measure, PH (m), SD (cm), LW (cm), and LL (cm) (Ear leaves), and TBN (number) was measured by counting the number of tassel branches. The upper and lower leaves and corn ear position leaves were selected for measurement. Ear three leaves has the largest leaf area, the strongest photosynthetic rate, the longest functional period, and is the closest leaf to the maize cob, which means that it can transport nutrients to the cob in support of seed formation (Cui et al., 2023). Excel 2003 was used to record the data for each of the agronomic traits. IBM SPSS Statistics 26 software was used to determine statistical significance of the measured parameters between parents and groups, the correlation between traits, and the normal distribution of each trait. The absolute values of the peak and skewness of each trait in the three environments were less than 1, indicating that the measured data was normally distributed (Table 1). Generalized heritability was calculated using Equation 1; a broad sense heritability formula described by Knapp et al. (1985). The variables in the equation are genotype variance (σG 2 ), interaction variance between genotype and environment (σGE 2 ), variance of environmental error (σe 2 ), number of environments (n), and number of repetitions (r). Among the terms, σG 2 、σGE 2 and σe 2 are random, while the number of environment, and number of repetitions are fixed. 2.3 Genetic map construction and QTL mapping SSR markers covering 1800 whole maize genomes were selected from the maize genome database ( http://www.Maizegdb.org.) and screened for polymorphism using polyacrylamide gel electrophoresis to select markers with different banding patterns in the parents and F 1 . A total of 249 polymorphic SSR primers were obtained, which were used to genotype the F 2 population. The SSR primers provided good discriminant capacity in F 2 population (Qiu et al., 2013). SSR markers required to map the populations were evaluated to create a database in Microsoft Excel containing the F 2 single plant number, the SSR primer names, and corresponding polyacrylamide gel electropherograms. The Haldane function of JoinMap 3.0 was used to convert the recombination rate into graph distance units in centimorgans (cM). QTL ICI Mapping 3.0 software, which employs the inclusive composite interval mapping (ICIM) method, was used to perform single-environment QTL detection and all-environment combined QTL detection on the mapping populations. A step size of 1 cM was selected when performing the QTL detection, the LOD threshold was manually set to 2.0, and the significance level was set to 0.05. The mode of action of a gene was classified as either additive (A 0 to 0.21), partially dominant (PD 0.21 to 0.80), dominant (D 0.81 to 1.20), or over dominant (OD＞1.20). Taking QLA1-1 as an example of QTL nomenclature, Q represents the QTL (JQ indicates a joint-location QTL), LA represents leaf area(PH, SD, TBN, LW, and LL represent plant height, stem diameter, number of tassel branches, leaf width, and leaf length, respectively), the number 1 represents the name of the chromosome (i.e., chromosome 2, chromosome 3, chromosome 4, etc.), -1 represents the sequence number of the QTL on the designated chromosome. 3 Result 3.1 Analysis of agronomic traits Six agronomic traits were measured in the two parents and the 180 F 2:3 family members planted at three locations over two growing seasons; Beibei 2011 (E1), Hechuan 2011 (E2), and Beibei 2012 (E3). The statistical analysis of the measured parameters in the 082 and Ye107 parents is shown in Table 2. Results indicated that the six traits significantly differed between the two parents. Data in Table 2 demonstrates that the traits exhibited substantial variability in the F 2:3 population, with a small degree of skewness and kurtosis across environments and a normal distribution. The range of variation range in the six agronomic traits in the three environments was 8.19%–24.24%. These data indicate that the six agronomic traits could be evaluated as quantitative traits for QTL mapping inf the F 2:3 families. Analysis of variance was performed on the six agronomic traits in the F 2:3 families (Table 3). Results indicate that LA, PH, TBN, LL, and LW were all significantly affected by genotype and environment; stem diameter was significantly affected by genotype but not by environment. Notably, genotype-environment interactions in the six traits were not significant, indicating that they were not significantly affected by genotype-environment interactions. In this regard, a significant gene-environment interaction indicates that the trait is affected by the main effect of genotype and environment, as well as their interaction, which would complicate any deterministic evaluation. The heritability of the six traits ranged from 0.69 to 0.79 indicating that the differences in the trait parameters measured in members of the F 2:3 families, were largely determined by genotype. Correlation analysis of the mean values of the six traits in the three environments indicated strong positive correlations between the traits in the F 2:3 families (Table 4). 3.2 Genetic map construction A total of 295 differential primers pairs were used from among the 1800 pairs of SSR primers covering the entire maize genome to screen for polymorphisms identified between parents and F 1 . Markers with unstable amplification or exhibiting minor differences in banding that were difficult to distinguish were discarded. In the end, a total of 266 SSR markers that could be consistently amplified and provide clear bands were used to genotype the populations and construct a join map. Linkage analysis was performed on all genotypes using JoinMap 3.0 utilizing the 266 pairs of differential SSR primers pairs. A genetic linkage map containing 10 linkage groups was constructed and found to contain 249 SSR loci (Figure 1). Notably as evidenced on the genetic map, the SSR markers were evenly distributed on all ten linkage groups in the maize genome. The total genetic distance was 1224.521 cM, and the average distance between markers was 4.92 cM. Each chromosome contained 18 to 43 SSR markers with an average of 24.9 SSR markers per chromosome. 3.3 QTL detection in the different individual environments A total of 49 significant QTLs for the six traits were identified in the F 2:3 population across chromosomes 1, 2, 3, 4, 5, 7, 8, 9, and 10 (Table 5) in the three individual environments. The LOD values of the QTLs ranged from 2.51 to 21.17, and the phenotypic contribution rates ranged from 4.23% to 40.31%. The largest number of QTLs (11) was detected for the TBN trait, and were unevenly distributed on seven chromosomes. The lowest number of QTLs (1) was were detected for the SD trait. Details of the identified QTLs are provided in the following sections. 3.3.1 Leaf area Nine QTLs associated with leaf area were identified in the three different individual environments (Table 5). The phenotypic contribution of these QTLs ranged from 6.06% to 13.35%, and were unevenly distributed on chromosomes 1, 3, 4, 9, and 10. The five QTLs on chromosomes 1, 3, and 4 were synergistic with the alleles from the female parent (082), and the four QTLs on chromosomes 9 and 10 were synergistic with the alleles from the male parent (Ye107). Four QTLs were detected in two or three different environments: QLA1-1, QLA4-1, QLA9-1, and QLA10-1. Among them, the phenotypic contribution of QLA1-1 and QLA4-1 exceeded 10%. 3.3.2 Plant height Three QTLs associated with plant height were identified on chromosomes 7 and 9 in the three individual environments (Table 5). Their LOD values were between 2.86 and 3.38, and their phenotypic contribution of the QTLs was between 7.85% and 8.36%. QPH7-1 on chromosome 7 was detected in two different environments. These QTLs were all partially dominant, and their synergistic genes were all from the female parent (082). 3.3.3 Stem diameter Two QTLs associated with stem diameter were identified in the three individual environments (Table 5). They were all located between markers bnlg128 and bnlg1129 on chromosome 9 and named QSD9-3. Their phenotypic contribution of the QTLs was 8.02 and 7.35%. The QTLs were partially dominant, and the paternal parent (Ye107) gene had a synergistic effect. 3.3.4 Number of tassel branches Eighteen QTLs associated with tassel branch number were identified on chromosomes 1, 2, 3, 5, 7, 8, and 9 in the three individual environments (Table 5). Eleven were partially dominant, and the synergistic genes came from the female parent (082). Five of these QTLs were detected in two or three individual environments: QTBN1-2, QTBN3-2, QTBN5, QTBN7-2, and QTBN7-3. The phenotypic contribution of these QTLs ranged from 4.20% to 16.38%. Three QTLs had a phenotypic contribution rate of > 10%: QTBN3-2, QTBN5, and QTBN7-2. 3.3.5 Leaf width Eleven QTLs associated with leaf width were identified in the three different individual environments and were distributed on chromosomes 1, 9, and 10 (Table 5). Their phenotypic contribution ranged between 6.80% to 40.31%. There were six synergistic QTLs from the female parent 082 and five synergistic QTLs from the male parent Ye107. Four of the QTLs were detected in two or three environments: QLW1-3, QLW9-6, QLW10-2, and QLW10-3. QLW1-3, QLW9-6, and QLW10-3 had a phenotypic contribution rate of > 10%. 3.3.6 Leaf length Six QTLs associated with leaf length were identified in the three different individual environments (Table 5). Three were found in the same marker interval on chromosome 3 and one on chromosome 4: QLL3-3 and QLL4-2. The phenotypic contribution of QLL4-2 was > 10% in all three environments. The synergistic QTL on chromosome 3 came from the male parent Ye107, and the synergistic QTL on chromosome 4 came from the female parent 082. 3.4 QTL identification in joint analysis across all three environments The combined analysis of all environments identified 49 QTLs associated with the measured agronomic traits (Table 6). Five QTLs (QLA9-1, QSD9-3, QTBN7-2, QTBN9-5, and QLW9-6) were detected in the same marker interval in the individual and combined environment QTL analysis, indicating that these QTLs were not affected by the environment, which can stabilize heredity. QPH7-1, QLW10-3, QLL3-3, QLL4-2 were detected in the single-environment analysis while JQPH7-1, JQPH7-2, JQLW1, JQLL3, JQLL4 were detected in the joint analysis of all environments. Notably, all of them were located in the vicinity of the same markers (phi034, umc1016, umc1991, umc2033, and umc1313), suggesting that there may be common QTLs at the positions of these markers. Some QTLs detected in the joint analysis were not detected in the single-environment analysis, suggesting that they likely have a small effect that cannot be detected unless more environments are included. In this regard, different planting densities, water and fertilizer levels, and climatic conditions all have the potential to differentially impact agronomic traits and contribute to variability in QTL detection. 3.5 Prediction analysis of candidate genes One SSR was located between the markers umc1991-umc2029.This marker controls leaf area and leaf width traits. Based on the Zea mays-B73-REFERENCE- GRAMENE-4.0 in the maize genome database (http://www.Maize gdb.org), candidate genes present in the chr1-233,951,533-245,372,021 regions were identified and analyzed. A total of three predicted genes were obtained by functional annotation of candidate genes in the genetic database Zeamap and the NCBI website. Zm00001d032678 is Haloacid dehalogenase-like hydrolase (HAD) superfamily protein, Zm00001d032768 is CCT motif family protein, and Zm00001D032850 is a Pi transporter protein2 (Table 7). 4 Discussion Plants exposed to low-phosphorus stress undergo a series of physiological responses that can negatively affect plant growth and other agronomic traits. Studies have shown that the genetic mechanisms underlying phosphorus efficiency are quite complex (Wissuwa et al., 2001; Leiser et al., 2014 ; Zhou et al., 2016 ). Multiple genes with relatively minor effects contribute to a quantitative effect that can exhibit substantial variation (Swanson-Wagner et al., 2010 ). If a QTL can be detected in two or more environments and its contribution in one environment is greater than 10%, the QTL is considered to be environmentally insensitive (Peng et al., 2011 ). In our study, QTLs with phenotypic contribution of > 10% were as follows: QLA1-1, QLA4-1 correlated with leaf area; QTBN3-2, QTBN7-2, QTBN5 correlated with spike branching number, QLW1-3, QLW9-6, QLW10-3 correlated with blade width; and QLL4-2 correlated with leaf length. A total of 9 main effect QTLs were identified. Brown et al. ( 2011 ) and Tuberosa et al. ( 2002 ) demonstrated that QTLs affecting related traits tend to reside in the same or adjacent chromosomal segments owing to shared genetic mechanisms in the traits. Moncada et al. (2001) stated that intervals that can be co-located and associated with multiple traits may have linkage or epistatic effects and may also contain one or more closely linked QTLs. In this regard, we identified several QTLs located in close proximity to one another that may share genetic mechanisms (QLA1-1 and QLW1-3, QLA3-1 and QLL3-3, QLA4-1 and QLL4-2, QPH7-1 and QTBN7-3, QPH9-2 and QTBN9-4, QLA9-1 and QSD9-3 and QLW9-6, LA10-1 and QLW10-3). The QTL QPH7-1 on chromosome 7 that is associated with plant height is similar to two previously published QTLs associated with maize height in low-phosphorus and adequate-phosphorus environments (Cai et al., 2012 ; Xi et al., 2018 ). Xi et al. ( 2018 ) also identified several linked QTLs for agronomic traits in low-phosphorus environments. Xu Cheng et al. (2018) in a genome-wide association study identified 259 candidate genes under low phosphorus conditions, of which 98 showed differential expression in transcriptome data. Similar to our results, the candidate genes that they identified were annotated in the three main gene ontology (GO) categories “biological regulation,”“metabolic process,”“cellular process”. We identified three candidate genes, Zm00001d032678 is related to phosphorus; Zm00001d032768 is involved in biological processes such as plant stress tolerance; and Zm00001D032850 is a Pi transporter protein. Among these candidate genes, Zm00001d032678 belongs to the same family as OsHAD1, a gene investigated by Pandey, B. K. et al. (2017). It was found that OsHAD1 can increase Pi accumulation. Perhaps, Zm00001d032678 has the same function as OsHAD1. Zm00001D032768 is a CCT motif family protein. The CCT gene family in rapeseed ( Brassica napus) is involved in plant stress resistance (Yu, et al., 2024 ). Low phosphorus definitely represents a condition that is detrimental to plant health. Therefore, perhaps this gene is activated in a low phosphorus environment. Pi is transported by Pi transporters. Zm00001D032850 is a Pi transporter protein and identified as a potential candidate gene. Other investigators studies identified mirR399 under low P conditions (Hu et al., 2011 , Du et al., 2018 , Dai et al., 2016 ). The homolog of mirR399 in rice (LTN1) is associated with changes in root morphology changes under low P conditions. MirR399 transcripts are strongly induced in maize by P deficiency. Therefore, the expression of the identified candidate genes should be compared with MirR399and LTN1 to gain insight into their potential role in phosphorus use efficiency and related traits. 5 Conclusions In the present study, QTL mapping of six agronomic traits was conducted utilizing 180 F 2:3 plants grown in three low-phosphorus environments. Nine major QTLs were identified across chromosomes 1, 3, 4, 5, 7, 9, and 10. The LOD values of these QTLs and their contributions to phenotypic variation were high. The QTLs were located in different segments of different chromosomes. This may be because the agronomic traits linked to these QTLs are quantitative traits controlled by multiple genes. Five QTLs that control leaf area, leaf diameter, tassel branch number, and leaf width were identified in our study in the QTL analyses of individual environments and all three environments combined, indicating that these QTLs are only affected by the environment to a small degree and may be stably inherited. We also identified three candidate genes. Our data indicate that the stable QTLs and identified candidate genes have high potential value in the genetic improvement of maize traits under low phosphorus conditions. Our results provide an important foundation for the genetic improvement of maize with low-phosphorus tolerance using marker assisted selection. ABBREVIATIONS QTL Quantitative trait loci LA Leaf area PH Plant height SD Stem diameter TBN Tassel branch number LW Leaf width LL Leaf length Declarations ACKNOWLEDGEMENTS Thanks to Professor Yilin Cai for providing parental materials. ADDITIONAL INFORMATION AND DECLARATIONS Funding This work was supported by the Guizhou Province High-level Innovative Talent Project (Qiankehe Platform Talent-GCC [2022] 027-1), Key Laboratory of Functional Agriculture of Guizhou Provincial Higher Education Institutions (Qianjiaoji (2023) 007), Key Laboratory of Molecular Breeding for Grain and Oil Crops in Guizhou Province (Qiankehezhongyindi (2023) 008) and Guiyang Wudang District "six modernization" corn seed production base demonstration project. Grant Disclosures The following grant information was disclosed by the authors: the Guizhou Province High-level Innovative Talent Project (Qiankehe Platform Talent-GCC [2022] 027-1), Key Laboratory of Functional Agriculture of Guizhou Provincial Higher Education Institutions (Qianjiaoji (2023) 007), Key Laboratory of Molecular Breeding for Grain and Oil Crops in Guizhou Province (Qiankehezhongyindi (2023) 008) and Guiyang Wudang District "six modernization" corn seed production base demonstration project. Conflict of interest The authors declare no competing interests. Author contribution Conceptualization, HLW, XLH and HBQ; methodology, XLH; software, ZZ; validation, XMZ and MW; investigation, HLW and XLH; resources, HBQ and XMZ; data curation, HLW and XLH; writing—original draft preparation, XLH; writing—review and editing, HLW and XLH; project administration, HBQ; All authors have read and agreed to the published version of the manuscript. Data availability The following information was supplied regarding data availability: The raw measurements are available in the Supplemental Data S1. References Abel, S., Ticconi, C. A., & Delatorre, C. A. (2002). Phosphate sensing in higher plants. Physiologia plantarum, 115(1), 1-8. Batjes, N. H. (1997). A world dataset of derived soil properties by FAO–UNESCO soil unit for global modelling. Soil use and management, 13(1), 9-16. Brown, P. J., Upadyayula, N., Mahone, G. S., Tian, F., Bradbury, P. J., Myles, S., ... & Rocheford, T. R. (2011). Distinct genetic architectures for male and female inflorescence traits of maize. PLoS genetics, 7(11), e1002383. Cai, H., Chu, Q., Gu, R., Yuan, L., Liu, J., Zhang, X., ... & Zhang, F. (2012). Identification of QTLs for plant height, ear height and grain yield in maize (Zea mays L.) in response to nitrogen and phosphorus supply. Plant breeding, 131(4), 502-510. Calderón-Vázquez, C., Sawers, R. J., & Herrera-Estrella, L. (2011). Phosphate deprivation in maize: genetics and genomics. Plant physiology, 156(3), 1067-1077. Chen, Y. (2016). Growth, Phosphorus Allocation Characteristics and Related Response Gene Expression in Seedlings of Different Maize Autogamous Lines under Low Phosphorus Stress (M.S. Dissertation, Xinjiang Agricultural University). M.S. Chen, J., Xu, L., Cai, Y., & Xu, J. (2008). QTL mapping of phosphorus efficiency and relative biologic characteristics in maize (Zea mays L.) at two sites. Plant and Soil, 313(1), 251-266. Cui Shuna, Wang Ye, Lu Yuqing, Pan Jinbao, Zhang Qiuzhi. (2023). Correlation and Path Analysis of Three Ear Leaves on Yield in Maize. Crops (02), 201-206. Dai, X., Wang, Y., & Zhang, W. H. (2016). OsWRKY74, a WRKY transcription factor, modulates tolerance to phosphate starvation in rice. Journal of experimental botany, 67(3), 947–960. Du, Q., Wang, K., Zou, C., Xu, C., & Li, W. X. (2018). The PILNCR1-miR399 Regulatory Module Is Important for Low Phosphate Tolerance in Maize. Plant physiology, 177(4), 1743–1753. Gao, S., Xia, J., Yuan, S., Shen, Y., Zhong, X., Zhang, S., ... & Chen, G. (2020). Novel QTL Conferring Phosphorus Acquisition and Utilization Efficiencies in Barley. Frontiers in Genetics, 1039. García-Berumen, J. A., Flores de la Torre, J. A., de Los Santos-Villalobos, S., Espinoza-Canales, A., Echavarría-Cháirez, F. G., & Gutiérrez-Bañuelos, H. (2024). Phosphorus dynamics and sustainable agriculture: The role of microbial solubilization and innovations in nutrient management. Current research in microbial sciences, 8, 100326. Gu, R., Chen, F., Long, L., Cai, H., Liu, Z., Yang, J., ... & Yuan, L. (2016). Enhancing phosphorus uptake efficiency through QTL-based selection for root system architecture in maize. Journal of Genetics and Genomics, 43(11), 663-672. Gudu, S., & Ouma, E. O. (2021). Mapping Qtls for Grain Yield and Yield Components in Kenyan Maize (Zea mays L.) Under Low Phosphorus Using Single Nucleotide Polymorphism (SNPS). Hu, B., Zhu, C., Li, F., Tang, J., Wang, Y., Lin, A., Liu, L., Che, R., & Chu, C. (2011). LEAF TIP NECROSIS1 plays a pivotal role in the regulation of multiple phosphate starvation responses in rice. Plant physiology, 156(3), 1101–1115. Jiaqi Han,Haiping Wang,Jiangping Song,Huixia Jia,Xiaohui Zhang,Sen Li... & Wenlong Yang. (2024).[Genetic background of lily germplasm resources based on SSR markers]..Sheng wu gong cheng xue bao = Chinese journal of biotechnology(4),1211-1224. Joshi, S. R., Morris, J. W., Tfaily, M. M., Young, R. P., & McNear, D. H. (2021). Low soil phosphorus availability triggers maize growth stage specific rhizosphere processes leading to mineralization of organic P. Plant and Soil, 459(1), 423-440. Knapp, E. W., Fischer, S. F., Zinth, W., Sander, M., Kaiser, W., Deisenhofer, J., & Michel, H. (1985). Analysis of optical spectra from single crystals of Rhodopseudomonas viridis reaction centers. Proceedings of the National Academy of Sciences, 82(24), 8463-8467. Laakso, K., Middleton, M., Heinig, T., Bärs, R., & Lintinen, P. (2018). Assessing the ability to combine hyperspectral imaging (HSI) data with Mineral Liberation Analyzer (MLA) data to characterize phosphate rocks. International journal of applied earth observation and geoinformation, 69, 1-12. Leiser, W. L., Rattunde, H. F. W., Weltzien, E., & Haussmann, B. I. (2014). Phosphorus uptake and use efficiency of diverse West and Central African sorghum genotypes under field conditions in Mali. Plant and soil, 377(1), 383-394. Li, H., Yang, Y., Zhang, H., Chu, S., Zhang, X., Yin, D., ... & Zhang, D. (2016). A genetic relationship between phosphorus efficiency and photosynthetic traits in soybean as revealed by QTL analysis using a high-density genetic map. Frontiers in plant science, 7, 924. Li, X., Mang, M., Piepho, H. P., Melchinger, A., & Ludewig, U. (2021). Decline of seedling phosphorus use efficiency in the heterotic pool of flint maize breeding lines since the onset of hybrid breeding. Journal of Agronomy and Crop Science, 207(5), 857-872. M.A Saleque, M.J Abedin, N.I Bhuiyan, S.K Zaman & G.M Panaullah. (2004). Long-term effects of inorganic and organic fertilizer sources on yield and nutrient accumulation of lowland rice.Field Crops Research(1),53-65. Ma, X., Li, X., & Ludewig, U. (2021). Arbuscular mycorrhizal colonization outcompetes root hairs in maize under low phosphorus availability. Annals of botany, 127(1), 155-166. MacDonald, G. K., Bennett, E. M., Potter, P. A., & Ramankutty, N. (2011). Agronomic phosphorus imbalances across the world's croplands. Proceedings of the National Academy of Sciences, 108(7), 3086-3091. McCouch, S. R., Chen, X., Panaud, O., Temnykh, S., Xu, Y., Cho, Y. G., ... & Blair, M. (1997). Microsatellite marker development, mapping and applications in rice genetics and breeding. Oryza: from molecule to plant, 89-99. Nirubana, V., Vanniarajan, C., Aananthi, N., & Ramalingam, J. (2020). Screening tolerance to phosphorus starvation and haplotype analysis using phosphorus uptake 1 (Pup1) QTL linked markers in rice genotypes. Physiology and Molecular Biology of Plants, 26(12), 2355-2369. Ouma, E. O. (2021). Evaluating Heritability and Relationships among Phosphorus Efficiency Traits in Maize under Low P Soils of Western Kenya. Current Journal of Applied Science and Technology, 40, 83-96. Pandey, B. K., Mehra, P., Verma, L., Bhadouria, J., & Giri, J. (2017). OsHAD1, a Haloacid Dehalogenase-Like APase, Enhances Phosphate Accumulation. Plant physiology, 174(4), 2316–2332. Peng, B., Li, Y., Wang, Y., Liu, C., Liu, Z., Tan, W., ... & Li, Y. (2011). QTL analysis for yield components and kernel-related traits in maize across multi-environments. Theoretical and applied genetics, 122(7), 1305-1320. P. Moncada,C. P. Martínez,J. Borrero,M. Chatel,H. Gauch Jr,E. Guimaraes... & S. R. McCouch.(2001).Quantitative trait loci for yield and yield components in an Oryza sativa×Oryza rufipogon BC2F2 population evaluated in an upland environment.TAG Theoretical and Applied Genetics(1),41-52. Prathap, V., Kumar, A., Maheshwari, C., & Tyagi, A. (2022). Phosphorus homeostasis: acquisition, sensing, and long-distance signaling in plants. Molecular Biology Reports, 1-16. Qiu, H., Mei, X., Liu, C., Wang, J., Wang, G., Wang, X., ... & Cai, Y. (2013). Fine mapping of quantitative trait loci for acid phosphatase activity in maize leaf under low phosphorus stress. Molecular breeding, 32(3), 629-639. Qiu, H., Liu, C., Yu, T., Mei, X., Wang, G., Wang, J., & Cai, Y. (2014). Identification of QTL for acid phosphatase activity in root and rhizosphere soil of maize under low phosphorus stress. Euphytica, 197(1), 133-143. K. G. Raghothama & A. S. Karthikeyan. (2005).Phosphate acquisition. Plant and Soil(1-2),37-49. Sahito, J. H., Luo, B., Khalid, M. H. B., Sahito, H. A., Ali, A., Ghulam Nabi Gishkori, Z., Zhang, X., He, X., Zhong, H., Zhen, C., Ma, P., Liu, D., Wu, L., & Gao, S. (2020). Identification, Association of Natural Variation and Expression Analysis of ZmNAC9 Gene Response to Low Phosphorus in Maize Seedling Stage. Plants (Basel, Switzerland), 9(11), 1447. Robinson, A. J., Love, C. G., Batley, J., Barker, G., & Edwards, D. (2004). Simple sequence repeat marker loci discovery using SSR primer. Bioinformatics (Oxford, England), 20(9), 1475–1476. Song, C., & Han, X. Z. (2009). Advances in phosphorus in long-term fertilized soil. Soils, 41(1), 21-26. Swanson-Wagner, R. A., Eichten, S. R., Kumari, S., Tiffin, P., Stein, J. C., Ware, D., & Springer, N. M. (2010). Pervasive gene content variation and copy number variation in maize and its undomesticated progenitor. Genome research, 20(12), 1689-1699. Tuberosa, R., Salvi, S., Sanguineti, M. C., Landi, P., Maccaferri, M., & Conti, S. (2002). Mapping QTLs regulating morpho‐physiological traits and yield: Case studies, shortcomings and perspectives in drought‐stressed maize. Annals of Botany, 89(7), 941-963. Vance, C. P., Uhde‐Stone, C., & Allan, D. L. (2003). Phosphorus acquisition and use: critical adaptations by plants for securing a nonrenewable resource. New phytologist, 157(3), 423-447. White, P. J., & Hammond, J. P. (2008). Phosphorus nutrition of terrestrial plants. In The ecophysiology of plant-phosphorus interactions (pp. 51-81). Springer, Dordrecht. Wissuwa, M., & Ae, N. (2001). Further characterization of two QTLs that increase phosphorus uptake of rice (Oryza sativa L.) under phosphorus deficiency. Plant and Soil, 237(2), 275-286. Xi, X., Lu, X., Xue, C., Li, J., Zhang, K., & Lu, Y. (2018). QTL mapping of seven agronomic traits in maize based on the introgression lines. Chinese Science Bulletin, 63(30), 3103-3113. Xu Cheng,Zhang Hongwei,Sun Jianhao,Guo Zifeng,Zou Cheng,Li Wen-Xue... & Xu Yunbi.(2018).Genome-wide association study dissects yield components associated with low-phosphorus stress tolerance in maize..TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik(8),1699-1714. Yang, J., Liu, Z., Chen, Q., Qu, Y., Tang, J., Lübberstedt, T., & Li, H. (2020). Mapping of QtL for Grain Yield components Based on a DH population in Maize. Scientific reports, 10(1), 1-11. Yang, M., Wang, C., Hassan, M. A., Li, F., Xia, X., Shi, S., ... & He, Z. (2021). QTL mapping of root traits in wheat under different phosphorus levels using hydroponic culture. BMC genomics, 22(1), 1-12. Yu, L., Xia, J., Jiang, R., Wang, J., Yuan, X., Dong, X., Chen, Z., Zhao, Z., Wu, B., Zhan, L., Zhang, R., Tang, K., Li, J., & Xu, X. (2024). Genome-Wide Identification and Characterization of the CCT Gene Family in Rapeseed (Brassica napus L.). International journal of molecular sciences, 25(10), 5301. Zeng, Z., Zeng, S., & Tang, J. (2014). Space-temporal variation of farmland soil AP in Guangdong province and theircausing factors. Ecology and Environmental Sciences, 23(3), 444-451. Zhang, D., Lyu, Y., Li, H., Tang, X., Hu, R., Rengel, Z., ... & Shen, J. (2020). Neighbouring plants modify maize root foraging for phosphorus: coupling nutrients and neighbours for improved nutrient‐use efficiency. New Phytologist, 226(1), 244-253. Zhang, H., Uddin, M. S., Zou, C., Xie, C., Xu, Y., & Li, W. X. (2014). Meta‐analysis and candidate gene mining of low‐phosphorus tolerance in maize. Journal of integrative plant biology, 56(3), 262-270. Zhou, T., Du, Y., Ahmed, S., Liu, T., Ren, M., Liu, W., & Yang, W. (2016). Genotypic differences in phosphorus efficiency and the performance of physiological characteristics in response to low phosphorus stress of soybean in southwest of China. Frontiers in plant science, 7, 1776. Zhou, Z., Li, G., Tan, S., Li, D., Weiß, T. M., Wang, X., ... & Liu, W. (2020). A QTL atlas for grain yield and its component traits in maize (Zea mays). Plant Breeding, 139(3), 562-574. Zhu, C., Huang, J., & Zhang, Y. M. (2007). Mapping binary trait loci in the F(2:3) design. The Journal of heredity, 98(4), 337–344. Zhu, J., Kaeppler, S. M., & Lynch, J. P. (2005). Mapping of QTLs for lateral root branching and length in maize (Zea mays L.) under differential phosphorus supply. Theoretical and Applied Genetics, 111(4), 688-695. Tables Table 1. Variation in the quantitative assessment of six agronomic traits in the F2:3 families of maize. Trait Env minimum maximum Mean SD b Skewness Kurtosis CV (%) c LA E1 259.81 648.95 470.16 76.53 −0.14 −0.23 16.28% E2 255.04 648.95 447.69 85.82 −0.14 −0.41 19.17% E3 259.81 652.77 492.63 73 −0.21 0.15 14.82% PH E1 1.27 2.46 1.9 0.21 −0.22 0.66 11.05% E2 1.27 2.25 1.85 0.21 −0.43 −0.19 11.35% E3 1.27 2.26 1.92 0.18 −0.85 1.17 9.38% SD E1 4.88 8.40 6.15 0.58 0.24 0.62 9.43% E2 4.46 8.40 6.1 0.65 0.05 0.45 10.66% E3 4.96 8.40 6.22 0.58 0.5 0.96 9.32% TBN E1 5.67 20.75 12.57 2.8 0.19 −0.04 22.28% E2 5.67 23.84 12.21 2.96 0.36 0.79 24.24% E3 5.67 21.50 12.93 2.89 0.11 −0.23 22.35% LW E1 6.49 10.39 8.62 0.75 −0.18 −0.07 8.70% E2 6.49 10.23 8.45 0.82 −0.22 −0.29 9.70% E3 6.49 10.80 8.79 0.72 −0.18 0.36 8.19% LL E1 50.85 91.83 72.09 7.92 −0.33 0.05 10.99% E2 47.25 91.42 69.87 9.01 −0.25 −0.18 12.90% E3 49.34 92.25 74.32 7.4 −0.55 0.66 9.96% Notes: leaf area (LA), plant height (PH), stem diameter (SD), tassel branch number (TBN), leaf width (LW), and leaf length (LL). Measurements were taken from plants growing in two different locations and growing seasons (Env): Beibei in 2011 (E1), Hechuan in 2011 (E2), and Beibei in 2012 (E3). b SD, standard deviation of phenotypic data. c CV, coefficient of variation. Table 2. Analysis of significant differences in the quantitative assessment of six traits in maize parents, inbred lines 082 and Ye107. Ye107 082 Ye107 082 Trait Mean SD b LA 535.63 614.46* 42.78 20.81 PH 1.89** 1.51 0.08 0.07 SD 7.30* 5.77 0.36 0.60 TBN 4.67 16.33** 1.15 1.53 LW 9.40* 8.23 0.46 0.25 LL 75.90 96.03** 2.33 1.50 Notes: leaf area (LA), plant height (PH), stem diameter (SD), tassel branch number (TBN), leaf width (LW), and leaf length (LL). b SD, standard deviation of phenotypic data. *p<0.05, **p<0.01. Table 3. Joint analysis of the variance in the quantitative assessment of six agronomic traits of F 2:3 families of maize. Trait G E G*E H 2 LA 20.42** 14.42** 0.11 0.69 PH 28.98** 6.72** 0.21 0.79 SD 29.48** 3.59 0.19 0.77 TBN 30.03** 5.078* 0.17 0.79 LW 30.05** 12.49** 0.12 0.78 LL 21.44** 13.89** 0.12 0.70 Notes: leaf area (LA), plant height (PH), stem diameter (SD), tassel branch number (TBN), leaf width (LW), and leaf length (LL). The effects of genotype (G), environment (E), and their interaction (G*E) were assessed, and the broad-sense heritability (H 2 ) was calculated. *p<0 .05, **p<0 .01. Table 4. Correlation analysis of six agronomic traits in F 2:3 families of maize grown in different environments. Evn Trait LA PH SD TBN LW E1 PH 0.554** SD 0.614** 0.371** TBN 0.502** 0.354** 0.423** LW 0.810** 0.305** 0.571** 0.338** LL 0.890** 0.606** 0.502** 0.510** 0.464** E2 PH 0.656** SD 0.652** 0.460** TBN 0.536** 0.441** 0.445** LW 0.837** 0.411** 0.616** 0.382** LL 0.915** 0.700** 0.566** 0.549** 0.558** E3 PH 0.580** SD 0.570** 0.358** TBN 0.469** 0.431** 0.406** LW 0.786** 0.308** 0.521** 0.298** LL 0.866** 0.623** 0.434** 0.473** 0.383** Notes: leaf area (LA), plant height (PH), stem diameter (SD), tassel branch number (TBN), leaf width (LW), and leaf length (LL). Measurements were taken from plants growing in two different locations and two growing seasons (Env): Beibei in 2011 (E1), Hechuan in 2011 (E2), and Beibei in 2012 (E3). **p<0 .01. Table 5. QTLs associated with the genetic inheritance of six agronomic traits in single-environment analyses of the F 2:3 population of maize. Trait QTL name Env Left Marker Right Marker Position LOD PVE (%) Add Dom Gene action LA QLA1-1 E1 umc1991 umc2029 56 5.13 13.35 36.06 −24.29 PD E3 umc1991 umc2029 55 4.90 11.85 32.59 −22.36 PD QLA3-1 E2 umc2033 bnlg2136 94 2.51 6.42 30.14 7.57 PD QLA4-1 E1 umc1313 umc1101 62 3.19 8.62 30.02 15.12 PD E3 umc1313 umc1101 63 3.90 10.75 29.09 22.15 PD QLA9-1 E1 bnlg128 bnlg1129 88 3.22 7.72 −27.41 18.04 PD E3 bnlg128 bnlg1129 88 3.18 7.60 −27.58 12.73 PD QLA10-1 E1 bnlg594 umc1993 64 2.73 6.06 −10.64 −36.68 OD E2 bnlg594 umc1993 64 2.95 7.70 −14.85 −45.75 OD PH QPH7-1 E1 phi034 umc1016 89 3.29 8.21 0.08 0.03 PD E2 phi034 umc1016 89 3.38 8.36 0.09 0.02 PD QPH9-2 E3 umc2121 umc1519 53 2.86 7.85 −0.01 0.13 OD SD QSD9-3 E1 bnlg128 bnlg1129 88 2.88 8.02 −0.26 0.06 PD E2 bnlg128 bnlg1129 88 2.62 7.35 −0.25 0.08 PD TBN QTBN1-2 E1 umc2047 umc1991 48 2.53 4.20 0.56 −0.93 OD E3 umc2047 umc1991 45 2.66 4.48 0.80 −0.79 D QTBN2-1 E1 umc1079 umc2079 39 5.04 8.86 0.62 1.45 OD QTBN2-2 E3 umc2403 umc1227 84 3.95 7.72 1.17 0.15 A QTBN3-2 E1 umc1965 bnlg1325 121 9.13 16.38 1.63 0.07 A E2 umc1965 bnlg1325 119 5.48 15.05 1.74 −0.73 PD E3 umc1965 bnlg1325 119 6.01 14.18 1.55 0.23 A QTBN5 E1 umc1225 bnlg118 10 7.22 11.49 1.39 0.59 PD E2 umc1225 bnlg118 8 4.45 9.20 1.28 0.75 PD E3 umc1225 bnlg118 11 6.25 12.23 1.43 0.88 PD QTBN7-2 E1 umc1671 umc1412 14 6.87 10.46 1.25 −0.43 PD E3 umc1671 umc1412 15 7.40 14.75 1.53 −0.55 PD QTBN7-3 E1 phi034 umc1016 89 4.35 6.45 1.02 0.21 PD E2 phi034 umc1016 89 4.54 9.45 1.32 0.18 A QTBN7-4 E2 umc2197 umc1671 13 2.89 5.70 0.84 −0.78 D QTBN8 E1 bnlg1065 bnlg240 38 3.79 5.98 1.05 0.24 PD QTBN9-4 E1 umc2121 umc1519 53 3.10 4.48 0.31 1.12 OD QTBN9-5 E3 umc1519 umc1657 54 3.86 7.33 0.51 1.42 OD LW QLW1-3 E1 umc1991 umc2029 59 7.56 15.48 0.40 −0.14 PD E2 umc1991 umc2029 60 7.65 11.73 0.38 −0.12 PD E3 umc1991 umc2029 59 7.28 17.63 0.40 −0.18 PD QLW9-6 E1 bnlg128 bnlg1129 88 6.52 13.00 −0.40 0.04 A E2 bnlg128 bnlg1129 88 7.73 12.25 −0.43 −0.04 A E3 bnlg128 bnlg1129 90 4.93 11.97 −0.36 0.09 PD QLW10-2 E1 mmc0501 umc1582 17 3.54 6.80 0.30 0.03 A E2 mmc0501 umc1582 17 4.92 7.33 0.34 0.04 A QLW10-3 E1 bnlg594 umc1993 64 16.80 38.94 −0.01 −0.95 OD E2 bnlg594 umc1993 64 21.17 40.31 −0.02 −1.05 OD QLW10-4 E3 umc1432 mmc0501 16 2.67 5.92 0.26 −0.02 A LL QLL3-3 E1 umc2033 bnlg2136 93 3.44 8.01 3.37 −0.31 A E2 umc2033 bnlg2136 93 2.68 6.49 3.42 −0.15 A E3 umc2033 bnlg2136 93 3.86 8.81 3.32 −0.49 A QLL4-2 E1 umc1313 umc1101 64 5.85 16.85 4.48 1.76 PD Notes: Measurements were taken from plants growing in two locations and growing seasons (Env): Beibei in 2011 (E1), Hechuan in 2011 (E2), and Beibei in 2012 (E3). PVE (%), Percentage of phenotypic variance explained. Add, Additive effect of the QTL; positive values indicate that the alleles for higher trait values are contributed by 082, and negative values indicate that the alleles for higher trait values are contributed by Ye107. Dom, Dominance effect of the QTL. Table 6. Joint analysis of QTLs for six agronomic traits in F 2:3 populations of maize in all environments. Trait QTL name Left Marker Right Marker Position LOD (A) LOD (A by E) PVE (%) Add LA JQLA1 umc1128 bnlg1025 428 7.99 0.06 8.67 23.07 JQLA2 umc1579 umc2403 343 2.47 0.05 1.93 10.89 JQLA3 bnlg1452 umc2033 1149 6.42 0.09 6.89 20.75 JQLA4 umc1667 umc2405 233 6.74 0.04 6.49 19.93 JQLA5 umc1850 bnlg1660 1066 2.68 0.01 2.82 13.14 JQLA6 umc2165 bnlg1759 688 3.54 0.00 2.51 12.29 JQLA8-1 umc1665 umc2199 446 4.03 0.01 4.71 16.90 JQLA8-2 umc1765 umc1460 819 3.06 0.03 2.14 11.34 JQLA9 bnlg128 bnlg1129 1084 3.05 0.12 2.47 −12.36 PH JQPH1-1 umc1538a bnlg1347a 47 3.06 0.01 2.32 −0.03 JQPH1-2 dupssr26 umc1243 1082 3.04 0.04 2.35 −0.03 JQPH2 umc2248 umc1579 331 2.49 0.01 2.86 0.04 JQPH4 dupssr34 umc1667 202 2.48 0.13 3.00 0.04 JQPH6 umc1014 umc2006 167 3.52 0.28 2.83 −0.04 JQPH7-1 umc1409 phi034 650 4.73 0.03 3.84 0.04 JQPH7-2 umc1016 umc2327 842 3.33 0.07 2.80 0.04 JQPH8 umc1765 umc1460 819 2.91 0.01 2.20 0.03 JQPH10 umc2021 zmrr2pcr 900 2.63 0.03 2.06 −0.03 SD JQSD3 umc2002 phi053 708 4.39 0.11 4.80 0.13 JQSD4 bnlg490 bnlg1937 24 3.11 0.21 2.62 −0.09 JQSD5 umc1274 umc1784 900 5.49 0.08 4.17 −0.12 JQSD6 umc1621 umc2059 1213 4.32 0.01 3.52 0.11 JQSD8 bnlg1782 umc1665 418 4.02 0.05 5.17 0.14 JQSD9 bnlg128 bnlg1129 1081 2.62 0.01 2.04 −0.09 JQSD10 bnlg1677 umc2351 716 2.63 0.01 3.81 −0.12 TBN JQTBN1 umc1306 umc2047 221 2.80 0.02 2.51 0.45 JQTBN2 umc1579 umc2403 423 3.89 0.22 2.54 0.45 JQTBN3 bnlg1452 umc2033 1225 6.62 0.01 5.53 0.68 JQTBN5 bnlg118 bnlg1118 24 6.93 0.05 5.18 0.66 JQTBN7 umc1671 umc1412 40 2.80 0.05 2.34 0.44 JQTBN9-1 umc1492 umc2121 373 4.92 0.01 4.97 0.64 JQTBN9-2 umc1519 umc1657 502 2.80 0.12 2.31 0.43 JQTBN10 bnlg1074 umc2003 371 2.63 0.17 1.80 0.38 LW JQLW1 umc2047 umc1991 235 3.21 0.16 2.30 0.12 JQLW2 umc2079 umc1541 240 4.22 0.02 2.99 −0.13 JQLW3 umc1458 umc2377 1810 2.55 0.01 2.59 −0.12 JQLW5 umc1019 umc1722 169 4.34 0.05 3.20 0.13 JQLW6 umc1621 umc2059 1214 4.85 0.04 3.46 0.14 JQLW8 umc1665 umc2199 433 3.11 0.04 2.57 0.12 JQLW9-1 bnlg1191 bnlg1525 695 3.93 0.01 3.81 −0.15 JQLW9-2 bnlg128 bnlg1129 1178 3.95 0.03 4.31 −0.16 JQLW10 umc1506 bnlg594 472 4.33 0.02 5.97 0.19 LL JQLL1 phi227562 umc1538a 6 3.31 0.04 2.33 1.23 JQLL2 umc1579 umc2403 343 2.58 0.02 2.02 1.14 JQLL3 bnlg1452 umc2033 1140 6.33 0.42 4.52 1.75 JQLL4 umc1999 umc1313 468 3.99 0.41 5.26 1.87 JQLL5 umc2111 dupssr10 463 3.47 0.03 2.40 1.26 JQLL8 umc1765 umc1460 819 5.14 0.01 3.58 1.52 JQLL10 bnlg210 umc1345 214 4.26 0.73 4.23 −1.66 Notes: PVE (%), Percentage of phenotypic variance explained. Add, Additive effect of the QTL; positive values indicate that the alleles for higher trait values are contributed by 082, and negative values indicate that the alleles for higher trait values are contributed by Ye107. Table 7. Predicted maize genes within the QTL interval. Number Gene ID Gene description Chr1 Location 1 Zm00001d032678 Haloacid dehalogenase-like hydrolase (HAD) superfamily protein 233,951,533-234,840,412 2 Zm00001d032768 CCT motif family protein 236,863,389-238,487,010 3 Zm00001D032850 phosphate transporter protein2 240,081,753-241,566,874 Notes: The physical location reference Zea mays -B73-REFERENCE- GRAMENE-4.0. Additional Declarations No competing interests reported. Supplementary Files SupplementalDataS1.xlsx Supplemental Data S1 Table S1. Genotypes and phenotypes of the mapping populations based on traditional QTL mapping. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 15 Apr, 2026 Reviews received at journal 15 Apr, 2026 Reviews received at journal 15 Apr, 2026 Reviews received at journal 14 Apr, 2026 Reviews received at journal 12 Apr, 2026 Reviewers agreed at journal 07 Apr, 2026 Reviews received at journal 07 Apr, 2026 Reviewers agreed at journal 07 Apr, 2026 Reviewers agreed at journal 06 Apr, 2026 Reviewers agreed at journal 06 Apr, 2026 Reviewers agreed at journal 06 Apr, 2026 Reviewers agreed at journal 06 Apr, 2026 Reviewers invited by journal 06 Apr, 2026 Editor assigned by journal 10 Feb, 2026 Submission checks completed at journal 10 Feb, 2026 First submitted to journal 05 Feb, 2026 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-8796553","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Short Report","associatedPublications":[],"authors":[{"id":619212980,"identity":"c9e9a21d-36c4-4f73-a116-71b86e7c9a8b","order_by":0,"name":"Bu Lin","email":"","orcid":"","institution":"Guizhou University","correspondingAuthor":false,"prefix":"","firstName":"Bu","middleName":"","lastName":"Lin","suffix":""},{"id":619212981,"identity":"252ad7ca-11e8-4eb1-abf3-f3a213a1c9e1","order_by":1,"name":"Xiaolan Hu","email":"","orcid":"","institution":"Guizhou University","correspondingAuthor":false,"prefix":"","firstName":"Xiaolan","middleName":"","lastName":"Hu","suffix":""},{"id":619212982,"identity":"0e493a84-4869-4873-9393-31fd4d83a7e8","order_by":2,"name":"Hanlei Wang","email":"","orcid":"","institution":"Guizhou University","correspondingAuthor":false,"prefix":"","firstName":"Hanlei","middleName":"","lastName":"Wang","suffix":""},{"id":619212983,"identity":"e05f213f-406e-40c8-8ba6-ccb52fcca9a7","order_by":3,"name":"Zhang Zhi","email":"","orcid":"","institution":"Guizhou University","correspondingAuthor":false,"prefix":"","firstName":"Zhang","middleName":"","lastName":"Zhi","suffix":""},{"id":619212984,"identity":"9bdf5bef-473d-4557-aec1-28e119aead2d","order_by":4,"name":"Min Wen","email":"","orcid":"","institution":"Jilin Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Min","middleName":"","lastName":"Wen","suffix":""},{"id":619212985,"identity":"bd390530-18bc-4708-bde3-a92f3cedd698","order_by":5,"name":"Hongbo Qiu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAzElEQVRIiWNgGAWjYDACCR6GAwkGEnL87I2NDz8QqYXxwYcCC2PJnsPNxhJEamE2nPGhInHDjfQ2AR5idPDd7j0mzWMgwdhw82EbgwSDnZxuAwEtknfOpYG0MDPOTmx7UMCQbGx2gIAWgxs5ZiAtbMzSie0GEgwHErcRq4WHTfJgGyj0iNJibDjDQEKCR4KRSC2SN/ISH3wwkADakwgMZAMi/MJ3I/fAgYQ/dfX7jx9/+PBDhZ0cQS0MqAoMCCnH1DIKRsEoGAWjAAsAANT7Q6fx0LbHAAAAAElFTkSuQmCC","orcid":"","institution":"Guizhou University","correspondingAuthor":true,"prefix":"","firstName":"Hongbo","middleName":"","lastName":"Qiu","suffix":""},{"id":619212986,"identity":"70d45f7e-ef72-4379-b6f3-80603dfbd165","order_by":6,"name":"Xiaomei Zhang","email":"","orcid":"","institution":"Center for Agricultural Technology Extension of Dehong Prefecture","correspondingAuthor":false,"prefix":"","firstName":"Xiaomei","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2026-02-05 11:53:45","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8796553/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8796553/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":106597728,"identity":"9a2f82d8-d700-4f93-8c14-68dd026a27c4","added_by":"auto","created_at":"2026-04-10 09:43:47","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":17034032,"visible":true,"origin":"","legend":"\u003cp\u003eLinkage map showing the distribution of QTLs for agronomic traits in an F2:3 population.\u003c/p\u003e","description":"","filename":"Figure1.png","url":"https://assets-eu.researchsquare.com/files/rs-8796553/v1/7638e18fe2e1c8042d14f275.png"},{"id":106727367,"identity":"5a3f5924-6073-40cb-b03a-19bd33c83afc","added_by":"auto","created_at":"2026-04-12 18:38:48","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":21100199,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8796553/v1/4a71a3fe-ff8d-44ed-9075-7afb46dfaf45.pdf"},{"id":106726208,"identity":"23abb4f5-99b6-4fd1-89a9-db2bcfbfb84b","added_by":"auto","created_at":"2026-04-12 18:35:35","extension":"xlsx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":202603,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSupplemental Data S1\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable S1.\u003c/strong\u003e Genotypes and phenotypes of the mapping populations based on traditional QTL mapping.\u003c/p\u003e","description":"","filename":"SupplementalDataS1.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-8796553/v1/f24b1da216866dee4da4f568.xlsx"}],"financialInterests":"No competing interests reported.","formattedTitle":"QTL mapping of agronomic traits in maize (Zea mays L.) grown in a low- phosphorus environment","fulltext":[{"header":"1 Introduction","content":"\u003cp\u003eCrops require macronutrients such as nitrogen, phosphorus, and potassium, for optimal growth, development, and yield. Phosphorus is particularly important in cellular processes, including nucleic acid synthesis, photosynthesis, respiration, glycolysis, membrane synthesis and stabilization, redox reactions, signal transduction, and nitrogen fixation (Garc\u0026iacute;a et al., 2024; Raghothama et al., 2005; Abel et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2002\u003c/span\u003e; Vance et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). Although total phosphorus content in most soils is high, the amount of phosphorus that can be readily absorbed and utilized by plants is low (Li et al., \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2021\u003c/span\u003e;Prathap et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Plant roots absorb phosphorus from the rhizosphere as phosphate (Pi), which is generally present in low concentrations in soil solutions. Therefore, the diffusion of Pi to roots for uptake is slow, making it difficult to obtain (Batjes et al., 1997༛White et al., 2008).\u003c/p\u003e \u003cp\u003eMaize is one the most widely grown crops globally and is a staple food product for both animals and humans, and whose byproducts are utilized industrially for many purposes (Calder\u0026oacute;n-V\u0026aacute;zquez et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2011\u003c/span\u003e). Growing maize in soils that lack available phosphorus can lead to dwarf plants with weak roots and small leaves. Symptoms of phosphorus deficiency in maize initially appear as chlorosis at the leaf tips and margins, which eventually turn purple-red in color. The purple-red discoloration gradually spreads to the base of the leaf before the leaf tip turns brown and dies. Phosphorus deficiency has a negative impact on root development, resulting in decreased root volume. A sparse panicle phenotype can also occur when female panicle pollination is disrupted due to a phosphorus deficiency, resulting in grain drying or an absence of fruit. Studies have found that if germinating maize seeds are deficient in phosphorus, symptoms of phosphorus deficiency can occur in growing plants even if sufficient phosphorus is provided at later stages of plant development (Chen, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Therefore, low available soil phosphorus has represents an important limiting factor in determining maize yield (Zhang et al., \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eNatural soil phosphorus and phosphorus fertilizers are the main sources of phosphorus (P) required by maize (Song et al., 2009). Although the application of inorganic P fertilizers can alleviate symptoms of phosphorus deficiency, rock minerals, the primary source of inorganic P, are a limited resource that is only expected to last another 60 to 340 years (Laakso et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). The use of phosphorus fertilizers during the planting season is very low, representing only 10\u0026ndash;20% of the supply needed by plants, with the remainder being supplied by the soil phosphorus pool. Although long-term applications of phosphorus fertilizer can increase soil phosphorus levels (Zeng et al., \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2014\u003c/span\u003e), most of the phosphorus applied to the soil in agriculture is in an unavailable state, which can lead to wastage of phosphorus (M.A et al.,2004). Macdonald et al. (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2011\u003c/span\u003e) demonstrated that only 51 per cent of the phosphorus fertilizer applied to a soil each year is taken up by crops. Phosphorus accumulation occurs from time to time. This indicates the use of large amounts of P fertilizers to increase crop yield is inefficient and not advisable.\u003c/p\u003e \u003cp\u003eMaize quality and yield can be improved through the selection of varieties with strong economic traits, including phosphorus utilization. The development of excellent varieties can be assisted by the identification of quantitative trait loci (QTLs) associated with phosphorus absorption and utilization that can be used to select favorable genotypes during the breeding process. QTLs associated with phosphorus-efficient genotypes can be combined with the selection of other important agronomic traits to obtain superior genotypes. SSR (single sequence repeats) markers are uniformly distributed on chromosomes, are highly polymorphic, and allele-rich. They are codominant and can distinguish homozygote from heterozygote genetic traits. Due to their high resolution and easy detection, SSRs are widely used in the genetic analysis of crops, including genome mapping and characterization, phenotypic mapping, marker-assisted selection, and molecular ecology and diversity studies. (McCouch et al, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e1997\u003c/span\u003e;Robinson et al, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2004\u003c/span\u003e). Notably, SSR markers can be used to identify QTLs associated with agronomic traits in mapping populations. The identification of QTLs associated with enhanced phosphorus utilization in low-phosphorus environments have been conducted in rice (Nirubana et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), wheat (Yang et al., \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2021\u003c/span\u003e), soybean (Li et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2016\u003c/span\u003e), and barley (Gao et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Several maize studies have also identified QTLs associated with tolerance to low-phosphorus environments (Joshi et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Ma et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Gu et al., \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Qiu et al., \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Sahito et al., \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). For example, Zhu et al. (\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e2005\u003c/span\u003e) utilized a population of 169 recombinant inbred lines (RILs) of maize grown at two phosphorus levels (low and high) and quantified root hair length and root hair length plasticity in the maize populations. QTL mapping in that study identified a single QTL associated with root hair length under low-phosphorus conditions. Ouma et al. (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) measured phosphorus use efficiency and the heritability of related agronomic traits in 32 maize hybrids grown at two phosphorus levels (low and high) and found a significant relationship between shoot phosphorus content and phosphorus efficiency, suggesting that shoot phosphorus content may be a useful parameter for the selection of phosphorus efficiency in maize.\u003c/p\u003e \u003cp\u003eZhang et al. (\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2014\u003c/span\u003e) conducted a meta-analysis of studies of the genetic analysis of traits related to low P tolerance in maize. The meta-analysis identified 191 QTLs of which 23 were consensus QTLs (cQTLs) and identified 200 candidate genes with those QTLs. Cheng et al. (2018) conducted a genome-wide association analysis in maize and identified multiple single nucleotide polymorphisms (SNPs) associated with multiple agronomic traits. QTLs provide a useful genetic marker for low P tolerance breeding in maize and can be used to identify and locate target trait genes. However, studies have focused on maize root or ear traits associated with maize yield (Gudu et al., 2021; Zhou et al., \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Yang et al., \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Fewer QTL mapping studies have focused on aboveground agronomic traits such as Leaf Area, Plant Height, Stem Diameter, Tassel Branch Number, Leaf Width, Leaf Length (LA, PH, TBN, LW, and LL, respectively). In the present study, a QTL mapping study of LF, PH, SD, TBN, LW, and LL was conducted in mapping population of maize genotypes growing in a low phosphorus environment at three locations. The study was conducted to provide a foundation for the marker-assisted breeding of maize cultivars with high-efficiency utilization of phosphorus.\u003c/p\u003e"},{"header":"2 Materials and methods","content":"\u003cp\u003e\u003cstrong\u003e2.1 Plant material and field sites\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe mapping population consisted of 180 F\u003csub\u003e2:3\u003c/sub\u003e families derived from randomly selected F\u003csub\u003e2\u003c/sub\u003e plants from a cross between inbred 082 (phosphorus-efficient genotype) and Ye107 (phosphorus-inefficient genotype). F\u003csub\u003e2:3\u003c/sub\u003e refers to the progeny population produced by self-crossing of F\u003csub\u003e2\u003c/sub\u003e generation plants, which is designated as a common localization population in the literature and mainly used for preliminary localization of quantitative traits controlled by multiple genes. The use of such populations can reduce test error and improve test accuracy (Zhu, C.et al，2007). Phosphorus efficiency and several phenotypic traits were measured in the field populations. Genetic diversity associated with phosphorus efficiency was identified by amplified fragment length polymorphism (AFLP) marker analysis in 33 lines. Clustering of the AFLP marker and phenotypic traits data revealed that the greatest difference in phosphorus use efficiency was between the 082 and Ye107 maize lines\u0026nbsp;(Chen et al., 2008). Field studies were conducted in 2011 at Beibei (E1) and Hechuan (E2), and in 2012 at Beibei (E3), China.\u0026nbsp;The average temperature in 2011 in Beibei was 18.62℃\u0026nbsp;and 18.04℃\u0026nbsp;in Hechuan. The average temperature in Beibei \u0026nbsp;in 2012 was 17.70℃. F\u003csub\u003e2\u003c/sub\u003e genotypes and F\u003csub\u003e2:3\u003c/sub\u003e phenotypes were obtained. The soil at the Beibei field site was a sandy loam soil (pH of 6.6) with an organic matter content of 14600 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e. Total N, total P, and total K were 890 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e, 761 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e, and 14200 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e, respectively, at the Bebei site. Available N, P, and K levels were 8.9 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e, 3.3 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e, and 117 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e, respectively, at the Bebei site. The soil at the Hechuan field site was also a sandy loam soil (pH of 7.3) with an organic matter content of 10.6 g kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e. Total N, P, and K levels were 734 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e,987 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e, and 14100 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e, respectively, at the Hechuan site. The available N, P, and K levels were 5.1 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e, 3.5 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e, and 105 mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e, respectively, at the Hechuan site.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe second national survey of soil nutrient grading standards (China) states that low phosphorus soils are defined as those with an effective phosphorus content \u0026lt; 5 mg kg\u003csup\u003e-1\u003c/sup\u003e. Thus, soils at both the Beibei and Hechuan test sites would be classified as low phosphorus soils. Urea-based nitrogen fertilizer at a rate of 120 kg hm\u003csup\u003e\u0026minus;2\u003c/sup\u003e was applied at both locations. No phosphorus fertilizers were applied. Planting of the mapping population utilized a completely randomized block design with 180 individual plants, two 18 plants replicated plots for each genotype, with a final planting density of 45,000 hm\u003csup\u003e2\u003c/sup\u003e. Intra-environmental errors were reduced through the use of replicated plots with same fertility level in each replicated plot. Bags were placed on mature plants to enable the phenotyping of self-pollinated plants.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.2 Phenotypic data collection and analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eLA (cm\u003csup\u003e2\u003c/sup\u003e), was measured with a leaf area meter, four agronomic traits were measured with a vernier caliper or a tape measure, PH (m), SD (cm), LW (cm), and LL (cm) (Ear leaves), and TBN (number) was measured by counting the number of tassel branches. The upper and lower leaves and corn ear position leaves were selected for measurement. Ear three leaves has the largest leaf area, the strongest photosynthetic rate, the longest functional period, and is the closest leaf to the maize cob, which means that it can transport nutrients to the cob in support of seed formation (Cui et al., 2023). Excel 2003 was used to record the data for each of the agronomic traits. IBM SPSS Statistics 26 software was used to determine statistical significance of the measured parameters between parents and groups, the correlation between traits, and the normal distribution of each trait. The absolute values of the peak and skewness of each trait in the three environments were less than 1, indicating that the measured data was normally distributed (Table 1). \u0026nbsp;Generalized heritability was calculated using Equation 1; a broad sense heritability formula described by Knapp et al. (1985). The variables in the equation are genotype variance (\u0026sigma;G\u003csup\u003e2\u003c/sup\u003e), interaction variance between genotype and environment (\u0026sigma;GE\u003csup\u003e2\u003c/sup\u003e), variance of environmental error (\u0026sigma;e\u003csup\u003e2\u003c/sup\u003e), number of environments (n), and number of repetitions (r). Among the terms, \u0026sigma;G\u003csup\u003e2\u003c/sup\u003e、\u0026sigma;GE\u003csup\u003e2\u003c/sup\u003e and \u0026sigma;e\u003csup\u003e2\u003c/sup\u003e are random, while the number of environment, and number of repetitions are fixed.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"data:image/png;base64,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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.3 Genetic map construction and QTL mapping\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSSR markers covering 1800 whole maize genomes were selected from the maize genome database ( http://www.Maizegdb.org.) and screened for polymorphism using polyacrylamide gel electrophoresis to select markers with different banding patterns in the parents and F\u003csub\u003e1\u003c/sub\u003e. A total of 249 polymorphic SSR primers were obtained, which were used to genotype the F\u003csub\u003e2\u003c/sub\u003e population. The SSR primers provided good discriminant capacity in F\u003csub\u003e2\u003c/sub\u003e population (Qiu et al., 2013). SSR markers required to map the populations were evaluated to create a database in Microsoft Excel containing the F\u003csub\u003e2\u003c/sub\u003e single plant number, the SSR primer names, and corresponding polyacrylamide gel electropherograms. The Haldane function of JoinMap 3.0 was used to convert the recombination rate into graph distance units in centimorgans (cM).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eQTL ICI Mapping 3.0 software, which employs the inclusive composite interval mapping (ICIM) method, was used to perform single-environment QTL detection and all-environment combined QTL detection on the mapping populations. A step size of 1 cM was selected when performing the QTL detection, the LOD threshold was manually set to 2.0, and the significance level was set to 0.05. The mode of action of a gene was classified as either additive (A 0 to 0.21), partially dominant (PD 0.21 to 0.80), dominant (D 0.81 to 1.20), or over dominant (OD＞1.20). Taking QLA1-1 as an example of QTL nomenclature, Q represents the QTL (JQ indicates a joint-location QTL), LA represents leaf area(PH, SD, TBN, LW, and LL represent plant height, stem diameter, number of tassel branches, leaf width, and leaf length, respectively), the number 1 represents the name of the chromosome (i.e., chromosome 2, chromosome 3, chromosome 4, etc.), -1 represents the sequence number of the QTL on the designated chromosome.\u0026nbsp;\u003c/p\u003e"},{"header":"3 Result","content":"\u003cp\u003e\u003cstrong\u003e3.1 Analysis of agronomic traits\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSix agronomic traits were measured in the two parents and the 180 F\u003csub\u003e2:3\u003c/sub\u003e family members planted at three locations over two growing seasons;\u0026nbsp;Beibei 2011 (E1), Hechuan 2011 (E2), and Beibei 2012 (E3). The statistical analysis of the measured parameters in the 082 and Ye107 parents is shown in Table 2. Results indicated that the six traits significantly differed between the two parents. Data in Table 2 demonstrates that the traits exhibited substantial variability in the F\u003csub\u003e2:3\u003c/sub\u003e population, with a small degree of skewness and kurtosis across environments and a normal distribution. The range of variation range in the six agronomic traits in the three environments was 8.19%\u0026ndash;24.24%. These data indicate that the six agronomic traits could be evaluated as quantitative traits for QTL mapping inf the F\u003csub\u003e2:3\u003c/sub\u003e families.\u003c/p\u003e\n\u003cp\u003eAnalysis of variance was performed on the six agronomic traits in the F\u003csub\u003e2:3\u003c/sub\u003e families (Table 3). Results indicate that LA, PH, TBN, LL, and LW were all significantly affected by genotype and environment; stem diameter was significantly affected by genotype but not by environment. Notably, genotype-environment interactions in the six traits were not significant, indicating that they were not significantly affected by genotype-environment interactions. In this regard, a significant gene-environment interaction indicates that the trait is affected by the main effect of genotype and environment, as well as their interaction, which would complicate any deterministic evaluation. The heritability of the six traits ranged from 0.69 to 0.79 indicating that the differences in the trait parameters measured in members of the F\u003csub\u003e2:3\u003c/sub\u003e families, were largely determined by genotype.\u003c/p\u003e\n\u003cp\u003eCorrelation analysis of the mean values of the six traits in the three environments indicated strong positive correlations between the traits in the F\u003csub\u003e2:3\u003c/sub\u003e families (Table 4).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2 Genetic map construction\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 295 differential primers pairs were used from among the 1800 pairs of SSR primers covering the entire maize genome to screen for polymorphisms identified between parents and F\u003csub\u003e1\u003c/sub\u003e. Markers with unstable amplification or exhibiting minor differences in banding that were difficult to distinguish were discarded. In the end, a total of 266 SSR markers that could be consistently amplified and provide clear bands were used to genotype the populations and construct a join map. Linkage analysis was performed on all genotypes using JoinMap 3.0 utilizing the 266 pairs of differential SSR primers pairs. A genetic linkage map containing 10 linkage groups was constructed and found to contain 249 SSR loci (Figure 1). Notably as evidenced on the genetic map, the SSR markers were evenly distributed on all ten linkage groups in the maize genome. The total genetic distance was 1224.521 cM, and the average distance between markers was 4.92 cM. Each chromosome contained 18 to 43 SSR markers with an average of 24.9 SSR markers per chromosome.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3 QTL detection in the different individual environments\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 49 significant QTLs for the six traits were identified in the F\u003csub\u003e2:3\u003c/sub\u003e population across chromosomes 1, 2, 3, 4, 5, 7, 8, 9, and 10 (Table 5) in the three individual environments. The LOD values of the QTLs ranged from 2.51 to 21.17, and the phenotypic contribution rates ranged from 4.23% to 40.31%. The largest number of QTLs (11) was detected for the TBN trait, and were unevenly distributed on seven chromosomes. The lowest number of QTLs (1) was were detected for the SD trait. Details of the identified QTLs are provided in the following sections.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3.1 Leaf area\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNine QTLs associated with leaf area were identified in the three different individual environments (Table 5). The phenotypic contribution of these QTLs ranged from 6.06% to 13.35%, and were unevenly distributed on chromosomes 1, 3, 4, 9, and 10. The five QTLs on chromosomes 1, 3, and 4 were synergistic with the alleles from the female parent (082), and the four QTLs on chromosomes 9 and 10 were synergistic with the alleles from the male parent (Ye107). Four QTLs were detected in two or three different environments: QLA1-1, QLA4-1, QLA9-1, and QLA10-1. Among them, the phenotypic contribution of QLA1-1 and QLA4-1 exceeded 10%.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3.2 Plant height\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThree QTLs associated with plant height were identified on chromosomes 7 and 9 in the three individual environments (Table 5). Their LOD values were between 2.86 and 3.38, and their phenotypic contribution of the QTLs was between 7.85% and 8.36%. QPH7-1 on chromosome 7 was detected in two different environments. These QTLs were all partially dominant, and their synergistic genes were all from the female parent (082).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3.3 Stem diameter\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTwo QTLs associated with stem diameter were identified in the three individual environments (Table 5). They were all located between markers bnlg128 and bnlg1129 on chromosome 9 and named QSD9-3. Their phenotypic contribution of the QTLs was 8.02 and 7.35%. The QTLs were partially dominant, and the paternal parent (Ye107) gene had a synergistic effect.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3.4 Number of tassel branches\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEighteen QTLs associated with tassel branch number were identified on chromosomes 1, 2, 3, 5, 7, 8, and 9 in the three individual environments (Table 5). Eleven were partially dominant, and the synergistic genes came from the female parent (082). Five of these QTLs were detected in two or three individual environments: QTBN1-2, QTBN3-2, QTBN5, QTBN7-2, and QTBN7-3. The phenotypic contribution of these QTLs ranged from 4.20% to 16.38%. Three QTLs had a phenotypic contribution rate of \u0026gt; 10%: QTBN3-2, QTBN5, and QTBN7-2.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3.5 Leaf width\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEleven QTLs associated with leaf width were identified in the three different individual environments and were distributed on chromosomes 1, 9, and 10 (Table 5). Their phenotypic contribution ranged between 6.80% to 40.31%. There were six synergistic QTLs from the female parent 082 and five synergistic QTLs from the male parent Ye107. Four of the QTLs were detected in two or three environments: QLW1-3, QLW9-6, QLW10-2, and QLW10-3. QLW1-3, QLW9-6, and QLW10-3 had a phenotypic contribution rate of \u0026gt; 10%.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3.6 Leaf length\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSix QTLs associated with leaf length were identified in the three different individual environments (Table 5). Three were found in the same marker interval on chromosome 3 and one on chromosome 4: QLL3-3 and QLL4-2. The phenotypic contribution of QLL4-2 was \u0026gt; 10% in all three environments. The synergistic QTL on chromosome 3 came from the male parent Ye107, and the synergistic QTL on chromosome 4 came from the female parent 082.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.4 QTL identification in joint analysis across all three environments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe combined analysis of all environments identified 49 QTLs associated with the measured agronomic traits (Table 6). Five QTLs (QLA9-1, QSD9-3, QTBN7-2, QTBN9-5, and QLW9-6) were detected in the same marker interval in the individual and combined environment QTL analysis, indicating that these QTLs were not affected by the environment, which can stabilize heredity. QPH7-1, QLW10-3, QLL3-3, QLL4-2 were detected in the single-environment analysis while JQPH7-1, JQPH7-2, JQLW1, JQLL3, JQLL4 were detected in the joint analysis of all environments. Notably, all of them were located in the vicinity of the same markers (phi034, umc1016, umc1991, umc2033, and umc1313), suggesting that there may be common QTLs at the positions of these markers. Some QTLs detected in the joint analysis were not detected in the single-environment analysis, suggesting that they likely have a small effect that cannot be detected unless more environments are included. In this regard, different planting densities, water and fertilizer levels, and climatic conditions all have the potential to differentially impact agronomic traits and contribute to variability in QTL detection.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.5 Prediction analysis of candidate genes\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eOne SSR was located between the markers umc1991-umc2029.This marker controls leaf area and leaf width traits. Based on the Zea mays-B73-REFERENCE- GRAMENE-4.0 in the maize genome database (http://www.Maize gdb.org), candidate genes present in the chr1-233,951,533-245,372,021 regions were identified and analyzed. A total of three predicted genes were obtained by functional annotation of candidate genes in the genetic database Zeamap and the NCBI website. Zm00001d032678 is Haloacid dehalogenase-like hydrolase (HAD) superfamily protein, Zm00001d032768 is CCT motif family protein, and Zm00001D032850 is a Pi transporter protein2 (Table 7).\u003c/p\u003e"},{"header":"4 Discussion","content":"\u003cp\u003ePlants exposed to low-phosphorus stress undergo a series of physiological responses that can negatively affect plant growth and other agronomic traits. Studies have shown that the genetic mechanisms underlying phosphorus efficiency are quite complex (Wissuwa et al., 2001; Leiser et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Zhou et al., \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Multiple genes with relatively minor effects contribute to a quantitative effect that can exhibit substantial variation (Swanson-Wagner et al., \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). If a QTL can be detected in two or more environments and its contribution in one environment is greater than 10%, the QTL is considered to be environmentally insensitive (Peng et al., \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2011\u003c/span\u003e). In our study, QTLs with phenotypic contribution of \u0026gt;\u0026thinsp;10% were as follows: QLA1-1, QLA4-1 correlated with leaf area; QTBN3-2, QTBN7-2, QTBN5 correlated with spike branching number, QLW1-3, QLW9-6, QLW10-3 correlated with blade width; and QLL4-2 correlated with leaf length. A total of 9 main effect QTLs were identified.\u003c/p\u003e \u003cp\u003eBrown et al. (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2011\u003c/span\u003e) and Tuberosa et al. (\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2002\u003c/span\u003e) demonstrated that QTLs affecting related traits tend to reside in the same or adjacent chromosomal segments owing to shared genetic mechanisms in the traits. Moncada et al. (2001) stated that intervals that can be co-located and associated with multiple traits may have linkage or epistatic effects and may also contain one or more closely linked QTLs. In this regard, we identified several QTLs located in close proximity to one another that may share genetic mechanisms (QLA1-1 and QLW1-3, QLA3-1 and QLL3-3, QLA4-1 and QLL4-2, QPH7-1 and QTBN7-3, QPH9-2 and QTBN9-4, QLA9-1 and QSD9-3 and QLW9-6, LA10-1 and QLW10-3).\u003c/p\u003e \u003cp\u003eThe QTL QPH7-1 on chromosome 7 that is associated with plant height is similar to two previously published QTLs associated with maize height in low-phosphorus and adequate-phosphorus environments (Cai et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2012\u003c/span\u003e; Xi et al., \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Xi et al. (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) also identified several linked QTLs for agronomic traits in low-phosphorus environments. Xu Cheng et al. (2018) in a genome-wide association study identified 259 candidate genes under low phosphorus conditions, of which 98 showed differential expression in transcriptome data. Similar to our results, the candidate genes that they identified were annotated in the three main gene ontology (GO) categories \u0026ldquo;biological regulation,\u0026rdquo;\u0026ldquo;metabolic process,\u0026rdquo;\u0026ldquo;cellular process\u0026rdquo;.\u003c/p\u003e \u003cp\u003eWe identified three candidate genes, Zm00001d032678 is related to phosphorus; Zm00001d032768 is involved in biological processes such as plant stress tolerance; and Zm00001D032850 is a Pi transporter protein. Among these candidate genes, Zm00001d032678 belongs to the same family as OsHAD1, a gene investigated by Pandey, B. K. et al. (2017). It was found that OsHAD1 can increase Pi accumulation. Perhaps, Zm00001d032678 has the same function as OsHAD1. Zm00001D032768 is a CCT motif family protein. The CCT gene family in rapeseed (\u003cem\u003eBrassica\u003c/em\u003e napus) is involved in plant stress resistance (Yu, et al., \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Low phosphorus definitely represents a condition that is detrimental to plant health. Therefore, perhaps this gene is activated in a low phosphorus environment. Pi is transported by Pi transporters. Zm00001D032850 is a Pi transporter protein and identified as a potential candidate gene. Other investigators studies identified mirR399 under low P conditions (Hu et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2011\u003c/span\u003e, Du et al., \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2018\u003c/span\u003e, Dai et al., \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). The homolog of mirR399 in rice (LTN1) is associated with changes in root morphology changes under low P conditions. MirR399 transcripts are strongly induced in maize by P deficiency. Therefore, the expression of the identified candidate genes should be compared with MirR399and LTN1 to gain insight into their potential role in phosphorus use efficiency and related traits.\u003c/p\u003e"},{"header":"5 Conclusions","content":"\u003cp\u003eIn the present study, QTL mapping of six agronomic traits was conducted utilizing 180 F\u003csub\u003e2:3\u003c/sub\u003e plants grown in three low-phosphorus environments. Nine major QTLs were identified across chromosomes 1, 3, 4, 5, 7, 9, and 10. The LOD values of these QTLs and their contributions to phenotypic variation were high. The QTLs were located in different segments of different chromosomes. This may be because the agronomic traits linked to these QTLs are quantitative traits controlled by multiple genes. Five QTLs that control leaf area, leaf diameter, tassel branch number, and leaf width were identified in our study in the QTL analyses of individual environments and all three environments combined, indicating that these QTLs are only affected by the environment to a small degree and may be stably inherited. We also identified three candidate genes. Our data indicate that the stable QTLs and identified candidate genes have high potential value in the genetic improvement of maize traits under low phosphorus conditions. Our results provide an important foundation for the genetic improvement of maize with low-phosphorus tolerance using marker assisted selection.\u003c/p\u003e"},{"header":"ABBREVIATIONS","content":"\u003cp\u003eQTL \u0026nbsp; Quantitative trait loci\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eLA \u0026nbsp; \u0026nbsp; Leaf area\u003c/p\u003e\n\u003cp\u003ePH \u0026nbsp; \u0026nbsp; Plant height\u003c/p\u003e\n\u003cp\u003eSD \u0026nbsp; \u0026nbsp; Stem diameter\u003c/p\u003e\n\u003cp\u003eTBN \u0026nbsp; Tassel branch number\u003c/p\u003e\n\u003cp\u003eLW \u0026nbsp; \u0026nbsp;Leaf width\u003c/p\u003e\n\u003cp\u003eLL \u0026nbsp; \u0026nbsp; Leaf length\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eACKNOWLEDGEMENTS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThanks to Professor Yilin Cai for providing parental materials.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eADDITIONAL INFORMATION AND DECLARATIONS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by the Guizhou Province High-level Innovative Talent Project (Qiankehe Platform Talent-GCC [2022] 027-1), Key Laboratory of Functional Agriculture of Guizhou Provincial Higher Education Institutions (Qianjiaoji (2023) 007), Key Laboratory of Molecular Breeding for Grain and Oil Crops in Guizhou Province (Qiankehezhongyindi (2023) 008) and Guiyang Wudang District \u0026quot;six modernization\u0026quot; corn seed production base demonstration project.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eGrant Disclosures\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe following grant information was disclosed by the authors: the Guizhou Province High-level Innovative Talent Project (Qiankehe Platform Talent-GCC [2022] 027-1), Key Laboratory of Functional Agriculture of Guizhou Provincial Higher Education Institutions (Qianjiaoji (2023) 007), Key Laboratory of Molecular Breeding for Grain and Oil Crops in Guizhou Province (Qiankehezhongyindi (2023) 008) and Guiyang Wudang District \u0026quot;six modernization\u0026quot; corn seed production base demonstration project.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contribution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConceptualization, HLW,\u0026nbsp;XLH and HBQ; methodology, XLH; software, ZZ; validation, XMZ and MW; investigation, HLW and XLH; resources, HBQ and\u0026nbsp;XMZ; data curation, HLW and XLH; writing\u0026mdash;original draft preparation, XLH; writing\u0026mdash;review and editing, HLW and XLH; project administration, HBQ; All authors have read and agreed to the published version of the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe following information was supplied regarding data availability:\u003c/p\u003e\n\u003cp\u003eThe raw measurements are available in the Supplemental Data S1.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eAbel, S., Ticconi, C. A., \u0026amp; Delatorre, C. A. (2002). Phosphate sensing in higher plants. Physiologia plantarum, 115(1), 1-8.\u003c/li\u003e\n \u003cli\u003eBatjes, N. H. (1997). A world dataset of derived soil properties by FAO\u0026ndash;UNESCO soil unit for global modelling. Soil use and management, 13(1), 9-16.\u003c/li\u003e\n \u003cli\u003eBrown, P. J., Upadyayula, N., Mahone, G. S., Tian, F., Bradbury, P. J., Myles, S., ... \u0026amp; Rocheford, T. R. (2011). Distinct genetic architectures for male and female inflorescence traits of maize. PLoS genetics, 7(11), e1002383.\u003c/li\u003e\n \u003cli\u003eCai, H., Chu, Q., Gu, R., Yuan, L., Liu, J., Zhang, X., ... \u0026amp; Zhang, F. (2012). Identification of QTLs for plant height, ear height and grain yield in maize (Zea mays L.) in response to nitrogen and phosphorus supply. Plant breeding, 131(4), 502-510.\u003c/li\u003e\n \u003cli\u003eCalder\u0026oacute;n-V\u0026aacute;zquez, C., Sawers, R. J., \u0026amp; Herrera-Estrella, L. (2011). Phosphate deprivation in maize: genetics and genomics. Plant physiology, 156(3), 1067-1077.\u003c/li\u003e\n \u003cli\u003eChen, Y. (2016). Growth, Phosphorus Allocation Characteristics and Related Response Gene Expression in Seedlings of Different Maize Autogamous Lines under Low Phosphorus Stress (M.S. Dissertation, Xinjiang Agricultural University). M.S.\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eChen, J., Xu, L., Cai, Y., \u0026amp; Xu, J. (2008). QTL mapping of phosphorus efficiency and relative biologic characteristics in maize (Zea mays L.) at two sites. Plant and Soil, 313(1), 251-266.\u003c/li\u003e\n \u003cli\u003eCui Shuna, Wang Ye, Lu Yuqing, Pan Jinbao, Zhang Qiuzhi. (2023). Correlation and Path Analysis of Three Ear Leaves on Yield in Maize. Crops (02), 201-206.\u003c/li\u003e\n \u003cli\u003eDai, X., Wang, Y., \u0026amp; Zhang, W. H. (2016). OsWRKY74, a WRKY transcription factor, modulates tolerance to phosphate starvation in rice.\u0026nbsp;Journal of experimental botany,\u0026nbsp;67(3), 947\u0026ndash;960.\u003c/li\u003e\n \u003cli\u003eDu, Q., Wang, K., Zou, C., Xu, C., \u0026amp; Li, W. X. (2018). The\u0026nbsp;PILNCR1-miR399 Regulatory Module Is Important for Low Phosphate Tolerance in Maize.\u0026nbsp;Plant physiology,\u0026nbsp;177(4), 1743\u0026ndash;1753.\u003c/li\u003e\n \u003cli\u003eGao, S., Xia, J., Yuan, S., Shen, Y., Zhong, X., Zhang, S., ... \u0026amp; Chen, G. (2020). Novel QTL Conferring Phosphorus Acquisition and Utilization Efficiencies in Barley. Frontiers in Genetics, 1039.\u003c/li\u003e\n \u003cli\u003eGarc\u0026iacute;a-Berumen, J. A., Flores de la Torre, J. A., de Los Santos-Villalobos, S., Espinoza-Canales, A., Echavarr\u0026iacute;a-Ch\u0026aacute;irez, F. G., \u0026amp; Guti\u0026eacute;rrez-Ba\u0026ntilde;uelos, H. (2024). Phosphorus dynamics and sustainable agriculture: The role of microbial solubilization and innovations in nutrient management.\u0026nbsp;Current research in microbial sciences,\u0026nbsp;8, 100326.\u003c/li\u003e\n \u003cli\u003eGu, R., Chen, F., Long, L., Cai, H., Liu, Z., Yang, J., ... \u0026amp; Yuan, L. (2016). Enhancing phosphorus uptake efficiency through QTL-based selection for root system architecture in maize. Journal of Genetics and Genomics, 43(11), 663-672.\u003c/li\u003e\n \u003cli\u003eGudu, S., \u0026amp; Ouma, E. O. (2021). Mapping Qtls for Grain Yield and Yield Components in Kenyan Maize (Zea mays L.) Under Low Phosphorus Using Single Nucleotide Polymorphism (SNPS).\u003c/li\u003e\n \u003cli\u003eHu, B., Zhu, C., Li, F., Tang, J., Wang, Y., Lin, A., Liu, L., Che, R., \u0026amp; Chu, C. (2011). LEAF TIP NECROSIS1 plays a pivotal role in the regulation of multiple phosphate starvation responses in rice.\u0026nbsp;Plant physiology,\u0026nbsp;156(3), 1101\u0026ndash;1115.\u003c/li\u003e\n \u003cli\u003eJiaqi Han,Haiping Wang,Jiangping Song,Huixia Jia,Xiaohui Zhang,Sen Li... \u0026amp;\u0026nbsp;Wenlong Yang. (2024).[Genetic background of lily germplasm resources based on SSR markers]..Sheng wu gong cheng xue bao = Chinese journal of biotechnology(4),1211-1224.\u003c/li\u003e\n \u003cli\u003eJoshi, S. R., Morris, J. W., Tfaily, M. M., Young, R. P., \u0026amp; McNear, D. H. (2021). Low soil phosphorus availability triggers maize growth stage specific rhizosphere processes leading to mineralization of organic P. Plant and Soil, 459(1), 423-440.\u003c/li\u003e\n \u003cli\u003eKnapp, E. W., Fischer, S. F., Zinth, W., Sander, M., Kaiser, W., Deisenhofer, J., \u0026amp; Michel, H. (1985). Analysis of optical spectra from single crystals of Rhodopseudomonas viridis reaction centers. Proceedings of the National Academy of Sciences, 82(24), 8463-8467.\u003c/li\u003e\n \u003cli\u003eLaakso, K., Middleton, M., Heinig, T., B\u0026auml;rs, R., \u0026amp; Lintinen, P. (2018). Assessing the ability to combine hyperspectral imaging (HSI) data with Mineral Liberation Analyzer (MLA) data to characterize phosphate rocks. International journal of applied earth observation and geoinformation, 69, 1-12.\u003c/li\u003e\n \u003cli\u003eLeiser, W. L., Rattunde, H. F. W., Weltzien, E., \u0026amp; Haussmann, B. I. (2014). Phosphorus uptake and use efficiency of diverse West and Central African sorghum genotypes under field conditions in Mali. Plant and soil, 377(1), 383-394.\u003c/li\u003e\n \u003cli\u003eLi, H., Yang, Y., Zhang, H., Chu, S., Zhang, X., Yin, D., ... \u0026amp; Zhang, D. (2016). A genetic relationship between phosphorus efficiency and photosynthetic traits in soybean as revealed by QTL analysis using a high-density genetic map. Frontiers in plant science, 7, 924.\u003c/li\u003e\n \u003cli\u003eLi, X., Mang, M., Piepho, H. P., Melchinger, A., \u0026amp; Ludewig, U. (2021). Decline of seedling phosphorus use efficiency in the heterotic pool of flint maize breeding lines since the onset of hybrid breeding. Journal of Agronomy and Crop Science, 207(5), 857-872.\u003c/li\u003e\n \u003cli\u003eM.A Saleque, M.J Abedin, N.I Bhuiyan, S.K Zaman \u0026amp;\u0026nbsp;G.M Panaullah. (2004). Long-term effects of inorganic and organic fertilizer sources on yield and nutrient accumulation of lowland rice.Field Crops Research(1),53-65.\u003c/li\u003e\n \u003cli\u003eMa, X., Li, X., \u0026amp; Ludewig, U. (2021). Arbuscular mycorrhizal colonization outcompetes root hairs in maize under low phosphorus availability. Annals of botany, 127(1), 155-166.\u003c/li\u003e\n \u003cli\u003eMacDonald, G. K., Bennett, E. M., Potter, P. A., \u0026amp; Ramankutty, N. (2011). Agronomic phosphorus imbalances across the world\u0026apos;s croplands. Proceedings of the National Academy of Sciences, 108(7), 3086-3091.\u003c/li\u003e\n \u003cli\u003eMcCouch, S. R., Chen, X., Panaud, O., Temnykh, S., Xu, Y., Cho, Y. G., ... \u0026amp; Blair, M. (1997). Microsatellite marker development, mapping and applications in rice genetics and breeding. Oryza: from molecule to plant, 89-99.\u003c/li\u003e\n \u003cli\u003eNirubana, V., Vanniarajan, C., Aananthi, N., \u0026amp; Ramalingam, J. (2020). Screening tolerance to phosphorus starvation and haplotype analysis using phosphorus uptake 1 (Pup1) QTL linked markers in rice genotypes. Physiology and Molecular Biology of Plants, 26(12), 2355-2369.\u003c/li\u003e\n \u003cli\u003eOuma, E. O. (2021). Evaluating Heritability and Relationships among Phosphorus Efficiency Traits in Maize under Low P Soils of Western Kenya. Current Journal of Applied Science and Technology, 40, 83-96.\u003c/li\u003e\n \u003cli\u003ePandey, B. K., Mehra, P., Verma, L., Bhadouria, J., \u0026amp; Giri, J. (2017). OsHAD1, a Haloacid Dehalogenase-Like APase, Enhances Phosphate Accumulation.\u0026nbsp;Plant physiology,\u0026nbsp;174(4), 2316\u0026ndash;2332.\u003c/li\u003e\n \u003cli\u003ePeng, B., Li, Y., Wang, Y., Liu, C., Liu, Z., Tan, W., ... \u0026amp; Li, Y. (2011). QTL analysis for yield components and kernel-related traits in maize across multi-environments. Theoretical and applied genetics, 122(7), 1305-1320.\u003c/li\u003e\n \u003cli\u003eP. Moncada,C. P. Mart\u0026iacute;nez,J. Borrero,M. Chatel,H. Gauch Jr,E. Guimaraes... \u0026amp;\u0026nbsp;S. R. McCouch.(2001).Quantitative trait loci for yield and yield components in an Oryza sativa\u0026times;Oryza rufipogon BC2F2 population evaluated in an upland environment.TAG Theoretical and Applied Genetics(1),41-52.\u003c/li\u003e\n \u003cli\u003ePrathap, V., Kumar, A., Maheshwari, C., \u0026amp; Tyagi, A. (2022). Phosphorus homeostasis: acquisition, sensing, and long-distance signaling in plants. Molecular Biology Reports, 1-16.\u003c/li\u003e\n \u003cli\u003eQiu, H., Mei, X., Liu, C., Wang, J., Wang, G., Wang, X., ... \u0026amp; Cai, Y. (2013). Fine mapping of quantitative trait loci for acid phosphatase activity in maize leaf under low phosphorus stress. Molecular breeding, 32(3), 629-639.\u003c/li\u003e\n \u003cli\u003eQiu, H., Liu, C., Yu, T., Mei, X., Wang, G., Wang, J., \u0026amp; Cai, Y. (2014). Identification of QTL for acid phosphatase activity in root and rhizosphere soil of maize under low phosphorus stress. Euphytica, 197(1), 133-143.\u003c/li\u003e\n \u003cli\u003eK. G. Raghothama \u0026amp;\u0026nbsp;A. S. Karthikeyan. (2005).Phosphate acquisition. Plant and Soil(1-2),37-49.\u003c/li\u003e\n \u003cli\u003eSahito, J. H., Luo, B., Khalid, M. H. B., Sahito, H. A., Ali, A., Ghulam Nabi Gishkori, Z., Zhang, X., He, X., Zhong, H., Zhen, C., Ma, P., Liu, D., Wu, L., \u0026amp; Gao, S. (2020). Identification, Association of Natural Variation and Expression Analysis of\u0026nbsp;ZmNAC9\u0026nbsp;Gene Response to Low Phosphorus in Maize Seedling Stage.\u0026nbsp;Plants (Basel, Switzerland),\u0026nbsp;9(11), 1447.\u003c/li\u003e\n \u003cli\u003eRobinson, A. J., Love, C. G., Batley, J., Barker, G., \u0026amp; Edwards, D. (2004). Simple sequence repeat marker loci discovery using SSR primer.\u0026nbsp;Bioinformatics (Oxford, England),\u0026nbsp;20(9), 1475\u0026ndash;1476.\u003c/li\u003e\n \u003cli\u003eSong, C., \u0026amp; Han, X. Z. (2009). Advances in phosphorus in long-term fertilized soil. Soils, 41(1), 21-26.\u003c/li\u003e\n \u003cli\u003eSwanson-Wagner, R. A., Eichten, S. R., Kumari, S., Tiffin, P., Stein, J. C., Ware, D., \u0026amp; Springer, N. M. (2010). Pervasive gene content variation and copy number variation in maize and its undomesticated progenitor. Genome research, 20(12), 1689-1699.\u003c/li\u003e\n \u003cli\u003eTuberosa, R., Salvi, S., Sanguineti, M. C., Landi, P., Maccaferri, M., \u0026amp; Conti, S. (2002). Mapping QTLs regulating morpho‐physiological traits and yield: Case studies, shortcomings and perspectives in drought‐stressed maize. Annals of Botany, 89(7), 941-963.\u003c/li\u003e\n \u003cli\u003eVance, C. P., Uhde‐Stone, C., \u0026amp; Allan, D. L. (2003). Phosphorus acquisition and use: critical adaptations by plants for securing a nonrenewable resource. New phytologist, 157(3), 423-447.\u003c/li\u003e\n \u003cli\u003eWhite, P. J., \u0026amp; Hammond, J. P. (2008). Phosphorus nutrition of terrestrial plants. In The ecophysiology of plant-phosphorus interactions (pp. 51-81). Springer, Dordrecht.\u003c/li\u003e\n \u003cli\u003eWissuwa, M., \u0026amp; Ae, N. (2001). Further characterization of two QTLs that increase phosphorus uptake of rice (Oryza sativa L.) under phosphorus deficiency. Plant and Soil, 237(2), 275-286.\u003c/li\u003e\n \u003cli\u003eXi, X., Lu, X., Xue, C., Li, J., Zhang, K., \u0026amp; Lu, Y. (2018). QTL mapping of seven agronomic traits in maize based on the introgression lines. Chinese Science Bulletin, 63(30), 3103-3113.\u003c/li\u003e\n \u003cli\u003eXu Cheng,Zhang Hongwei,Sun Jianhao,Guo Zifeng,Zou Cheng,Li Wen-Xue... \u0026amp;\u0026nbsp;Xu Yunbi.(2018).Genome-wide association study dissects yield components associated with low-phosphorus stress tolerance in maize..TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik(8),1699-1714.\u003c/li\u003e\n \u003cli\u003eYang, J., Liu, Z., Chen, Q., Qu, Y., Tang, J., L\u0026uuml;bberstedt, T., \u0026amp; Li, H. (2020). Mapping of QtL for Grain Yield components Based on a DH population in Maize. Scientific reports, 10(1), 1-11.\u003c/li\u003e\n \u003cli\u003eYang, M., Wang, C., Hassan, M. A., Li, F., Xia, X., Shi, S., ... \u0026amp; He, Z. (2021). QTL mapping of root traits in wheat under different phosphorus levels using hydroponic culture. BMC genomics, 22(1), 1-12.\u003c/li\u003e\n \u003cli\u003eYu, L., Xia, J., Jiang, R., Wang, J., Yuan, X., Dong, X., Chen, Z., Zhao, Z., Wu, B., Zhan, L., Zhang, R., Tang, K., Li, J., \u0026amp; Xu, X. (2024). Genome-Wide Identification and Characterization of the\u0026nbsp;CCT\u0026nbsp;Gene Family in Rapeseed (Brassica napus\u0026nbsp;L.).\u0026nbsp;International journal of molecular sciences,\u0026nbsp;25(10), 5301.\u003c/li\u003e\n \u003cli\u003eZeng, Z., Zeng, S., \u0026amp; Tang, J. (2014). Space-temporal variation of farmland soil AP in Guangdong province and theircausing factors. Ecology and Environmental Sciences, 23(3), \u0026nbsp;444-451.\u003c/li\u003e\n \u003cli\u003eZhang, D., Lyu, Y., Li, H., Tang, X., Hu, R., Rengel, Z., ... \u0026amp; Shen, J. (2020). Neighbouring plants modify maize root foraging for phosphorus: coupling nutrients and neighbours for improved nutrient‐use efficiency. New Phytologist, 226(1), 244-253.\u003c/li\u003e\n \u003cli\u003eZhang, H., Uddin, M. S., Zou, C., Xie, C., Xu, Y., \u0026amp; Li, W. X. (2014). Meta‐analysis and candidate gene mining of low‐phosphorus tolerance in maize. Journal of integrative plant biology, 56(3), 262-270.\u003c/li\u003e\n \u003cli\u003eZhou, T., Du, Y., Ahmed, S., Liu, T., Ren, M., Liu, W., \u0026amp; Yang, W. (2016). Genotypic differences in phosphorus efficiency and the performance of physiological characteristics in response to low phosphorus stress of soybean in southwest of China. Frontiers in plant science, 7, 1776.\u003c/li\u003e\n \u003cli\u003eZhou, Z., Li, G., Tan, S., Li, D., Wei\u0026szlig;, T. M., Wang, X., ... \u0026amp; Liu, W. (2020). A QTL atlas for grain yield and its component traits in maize (Zea mays). Plant Breeding, 139(3), 562-574.\u003c/li\u003e\n \u003cli\u003eZhu, C., Huang, J., \u0026amp; Zhang, Y. M. (2007). Mapping binary trait loci in the F(2:3) design.\u0026nbsp;The Journal of heredity,\u0026nbsp;98(4), 337\u0026ndash;344.\u003c/li\u003e\n \u003cli\u003eZhu, J., Kaeppler, S. M., \u0026amp; Lynch, J. P. (2005). Mapping of QTLs for lateral root branching and length in maize (Zea mays L.) under differential phosphorus supply. Theoretical and Applied Genetics, 111(4), 688-695.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1.\u003c/strong\u003e Variation in the quantitative assessment of six agronomic traits in the F2:3 families of maize.\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"590\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003eTrait\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eEnv\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003eminimum\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003emaximum\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003eMean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003eSD\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003eSkewness\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003eKurtosis\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003eCV (%)\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003eLA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e259.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e648.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e470.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e76.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e\u0026minus;0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026minus;0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e16.28%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e255.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e648.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e447.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e85.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e\u0026minus;0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026minus;0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e19.17%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e259.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e652.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e492.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e\u0026minus;0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e14.82%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003ePH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e2.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e\u0026minus;0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e11.05%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e2.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e1.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e\u0026minus;0.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026minus;0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e11.35%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e2.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e1.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e\u0026minus;0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e9.38%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e4.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e8.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e6.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e9.43%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e4.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e8.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e6.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e0.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e10.66%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e4.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e8.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e6.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e9.32%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003eTBN\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e5.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e20.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e12.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026minus;0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e22.28%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e5.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e23.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e12.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e2.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e24.24%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e5.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e21.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e12.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e2.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026minus;0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e22.35%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003eLW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e6.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e10.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e8.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e\u0026minus;0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026minus;0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e8.70%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e6.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e10.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e8.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e\u0026minus;0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026minus;0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e9.70%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e6.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e10.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e8.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e\u0026minus;0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e8.19%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003eLL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e50.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e91.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e72.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e7.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e\u0026minus;0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e10.99%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e47.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e91.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e69.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e9.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e\u0026minus;0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026minus;0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e12.90%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 43px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 78px;\"\u003e\n \u003cp\u003e49.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e92.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003e74.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 53px;\"\u003e\n \u003cp\u003e7.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 80px;\"\u003e\n \u003cp\u003e\u0026minus;0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 69px;\"\u003e\n \u003cp\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 74px;\"\u003e\n \u003cp\u003e9.96%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eNotes:\u003c/p\u003e\n\u003cp\u003eleaf area (LA), plant height (PH), stem diameter (SD), tassel branch number (TBN), leaf width (LW), and leaf length (LL). Measurements were taken from plants growing in two different locations and growing seasons (Env): Beibei in 2011 (E1), Hechuan in 2011 (E2), and Beibei in 2012 (E3).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003csup\u003eb\u003c/sup\u003eSD, standard deviation of phenotypic data. \u003csup\u003ec\u003c/sup\u003eCV, coefficient of variation.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u003c/strong\u003e Analysis of significant differences in the quantitative assessment of six traits in maize parents, inbred lines 082 and Ye107.\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"486\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 79px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 90px;\"\u003e\n \u003cp\u003eYe107\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 91px;\"\u003e\n \u003cp\u003e082\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 25px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 104px;\"\u003e\n \u003cp\u003eYe107\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 97px;\"\u003e\n \u003cp\u003e082\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eTrait\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" colspan=\"2\"\u003e\n \u003cp\u003eMean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" colspan=\"2\"\u003e\n \u003cp\u003eSD\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eLA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e535.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e614.46*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e42.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e20.81\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003ePH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e1.89**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e1.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e7.30*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e5.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.60\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eTBN\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e4.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e16.33**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e1.53\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eLW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e9.40*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e8.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eLL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e75.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e96.03**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e2.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e1.50\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\u003eNotes:\u003c/p\u003e\n\u003cp\u003eleaf area (LA), plant height (PH), stem diameter (SD), tassel branch number (TBN), leaf width (LW), and leaf length (LL). \u003csup\u003eb\u003c/sup\u003eSD, standard deviation of phenotypic data.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e*p\u0026lt;0.05, **p\u0026lt;0.01.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3.\u003c/strong\u003e Joint analysis of the variance in the quantitative assessment of six agronomic traits of F\u003csub\u003e2:3\u003c/sub\u003e families of maize.\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"546\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 150px;\"\u003e\n \u003cp\u003eTrait\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 100px;\"\u003e\n \u003cp\u003eG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 99px;\"\u003e\n \u003cp\u003eE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 104px;\"\u003e\n \u003cp\u003eG*E\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 93px;\"\u003e\n \u003cp\u003eH\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 150px;\"\u003e\n \u003cp\u003eLA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 100px;\"\u003e\n \u003cp\u003e20.42**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 99px;\"\u003e\n \u003cp\u003e14.42**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.11\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 93px;\"\u003e\n \u003cp\u003e0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 150px;\"\u003e\n \u003cp\u003ePH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 100px;\"\u003e\n \u003cp\u003e28.98**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 99px;\"\u003e\n \u003cp\u003e6.72**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.21\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 93px;\"\u003e\n \u003cp\u003e0.79\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 150px;\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 100px;\"\u003e\n \u003cp\u003e29.48**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 99px;\"\u003e\n \u003cp\u003e3.59\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.19\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 93px;\"\u003e\n \u003cp\u003e0.77\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 150px;\"\u003e\n \u003cp\u003eTBN\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 100px;\"\u003e\n \u003cp\u003e30.03**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 99px;\"\u003e\n \u003cp\u003e5.078*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.17\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 93px;\"\u003e\n \u003cp\u003e0.79\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 150px;\"\u003e\n \u003cp\u003eLW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 100px;\"\u003e\n \u003cp\u003e30.05**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 99px;\"\u003e\n \u003cp\u003e12.49**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.12\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 93px;\"\u003e\n \u003cp\u003e0.78\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 150px;\"\u003e\n \u003cp\u003eLL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 100px;\"\u003e\n \u003cp\u003e21.44**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 99px;\"\u003e\n \u003cp\u003e13.89**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 104px;\"\u003e\n \u003cp\u003e0.12\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 93px;\"\u003e\n \u003cp\u003e0.70\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eNotes:\u003c/p\u003e\n\u003cp\u003eleaf area (LA), plant height (PH), stem diameter (SD), tassel branch number (TBN), leaf width (LW), and leaf length (LL). The effects of genotype (G), environment (E), and their interaction (G*E) were assessed, and the broad-sense heritability (H\u003csup\u003e2\u003c/sup\u003e) was calculated.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e*p\u0026lt;0 .05, **p\u0026lt;0 .01.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.\u003c/strong\u003e Correlation analysis of six agronomic traits in F\u003csub\u003e2:3\u003c/sub\u003e families of maize grown in different environments.\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"586\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 60px;\"\u003e\n \u003cp\u003eEvn\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 82px;\"\u003e\n \u003cp\u003eTrait\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 99px;\"\u003e\n \u003cp\u003eLA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 91px;\"\u003e\n \u003cp\u003ePH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 93px;\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 82px;\"\u003e\n \u003cp\u003eTBN\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 79px;\"\u003e\n \u003cp\u003eLW\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003ePH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.554**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.614**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.371**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eTBN\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.502**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.354**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.423**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eLW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.810**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.305**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.571**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.338**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eLL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.890**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.606**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.502**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.510**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.464**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003ePH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.656**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.652**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.460**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eTBN\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.536**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.441**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.445**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eLW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.837**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.411**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.616**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.382**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eLL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.915**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.700**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.566**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.549**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.558**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003ePH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.580**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.570**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.358**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eTBN\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.469**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.431**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.406**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eLW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.786**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.308**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.521**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.298**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003eLL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.866**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.623**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.434**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.473**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\"\u003e\n \u003cp\u003e0.383**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eNotes:\u003c/p\u003e\n\u003cp\u003eleaf area (LA), plant height (PH), stem diameter (SD), tassel branch number (TBN), leaf width (LW), and leaf length (LL). Measurements were taken from plants growing in two different locations and two growing seasons (Env): Beibei in 2011 (E1), Hechuan in 2011 (E2), and Beibei in 2012 (E3).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e**p\u0026lt;0 .01.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5.\u003c/strong\u003e QTLs associated with the genetic inheritance of six agronomic traits in single-environment analyses of the F\u003csub\u003e2:3\u003c/sub\u003e population of maize. \u0026nbsp;\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"131%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTrait\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eQTL name\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEnv\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLeft Marker\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRight Marker\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePosition\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLOD\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePVE (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdd\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDom\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGene action\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003eLA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQLA1-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1991\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e5.13\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e13.35\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e36.06\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;24.29\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1991\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e4.90\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e11.85\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e32.59\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;22.36\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQLA3-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg2136\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e2.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e6.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e30.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e7.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQLA4-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1313\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1101\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.19\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e8.62\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e30.02\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e15.12\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1313\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1101\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.90\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e10.75\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e29.09\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e22.15\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQLA9-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg1129\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.22\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e7.72\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;27.41\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e18.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg1129\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.18\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e7.60\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;27.58\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e12.73\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQLA10-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg594\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1993\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e2.73\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e6.06\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;10.64\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;36.68\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eOD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg594\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1993\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e2.95\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e7.70\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;14.85\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;45.75\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eOD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003ePH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQPH7-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ephi034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.29\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e8.21\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.08\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.03\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ephi034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.38\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e8.36\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.09\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.02\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQPH9-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2121\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1519\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e2.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e7.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eOD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQSD9-3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg1129\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e2.88\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e8.02\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.26\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.06\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg1129\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e2.62\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e7.35\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.25\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.08\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003eTBN\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQTBN1-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2047\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1991\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e2.53\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e4.20\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.56\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.93\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eOD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2047\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1991\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e2.66\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e4.48\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.80\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.79\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQTBN2-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1079\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2079\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e5.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e8.86\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.62\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.45\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eOD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQTBN2-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2403\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1227\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.95\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e7.72\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.17\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.15\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQTBN3-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1965\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg1325\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e121\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e9.13\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e16.38\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.63\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.07\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1965\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg1325\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e5.48\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e15.05\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.74\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.73\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1965\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg1325\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e6.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e14.18\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.55\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.23\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQTBN5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1225\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e7.22\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e11.49\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.39\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.59\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1225\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e4.45\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e9.20\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.28\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.75\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1225\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e6.25\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e12.23\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.43\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.88\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQTBN7-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1671\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1412\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e6.87\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e10.46\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.25\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.43\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1671\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1412\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e7.40\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e14.75\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.53\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.55\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQTBN7-3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ephi034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e4.35\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e6.45\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.02\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.21\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ephi034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e4.54\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e9.45\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.32\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.18\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQTBN7-4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2197\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1671\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e2.89\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e5.70\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.84\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.78\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQTBN8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg1065\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg240\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e5.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQTBN9-4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2121\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1519\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.10\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e4.48\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.31\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.12\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eOD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQTBN9-5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1519\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1657\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.86\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e7.33\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.51\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.42\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eOD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003eLW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQLW1-3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1991\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e7.56\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e15.48\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.40\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.14\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1991\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e7.65\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e11.73\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.38\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.12\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1991\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e7.28\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e17.63\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.40\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.18\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQLW9-6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg1129\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e6.52\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e13.00\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.40\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg1129\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e7.73\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e12.25\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.43\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg1129\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e4.93\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e11.97\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.36\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.09\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQLW10-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003emmc0501\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1582\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.54\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e6.80\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.30\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.03\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003emmc0501\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1582\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e4.92\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e7.33\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.34\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQLW10-3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg594\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1993\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e16.80\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e38.94\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.95\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eOD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg594\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1993\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e21.17\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e40.31\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.02\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;1.05\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eOD\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQLW10-4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1432\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003emmc0501\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e2.67\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e5.92\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e0.26\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.02\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003eLL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQLL3-3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg2136\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.44\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e8.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.37\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.31\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg2136\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e2.68\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e6.49\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.42\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.15\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc2033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ebnlg2136\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.86\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e8.81\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e3.32\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026minus;0.49\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003eQLL4-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 6px;\"\u003e\n \u003cp\u003eE1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1313\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eumc1101\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e5.85\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 8px;\"\u003e\n \u003cp\u003e16.85\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e4.48\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e1.76\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003ePD\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\u003eNotes:\u003c/p\u003e\n\u003cp\u003eMeasurements were taken from plants growing in two locations and growing seasons (Env): Beibei in 2011 (E1), Hechuan in 2011 (E2), and Beibei in 2012 (E3).\u003c/p\u003e\n\u003cp\u003ePVE (%), Percentage of phenotypic variance explained. Add, Additive effect of the QTL; positive values indicate that the alleles for higher trait values are contributed by 082, and negative values indicate that the alleles for higher trait values are contributed by Ye107. Dom, Dominance effect of the QTL.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 6.\u003c/strong\u003e Joint analysis of QTLs for six agronomic traits in F\u003csub\u003e2:3\u003c/sub\u003e populations of maize in all environments. \u0026nbsp;\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"123%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTrait\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eQTL name\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLeft Marker\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRight Marker\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePosition\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLOD (A)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLOD (A by E)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePVE (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdd\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003eLA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLA1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ebnlg1025\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e428\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e7.99\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.06\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e8.67\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e23.07\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLA2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1579\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2403\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e343\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.47\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.05\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e1.93\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e10.89\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLA3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg1452\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e1149\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e6.42\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.09\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e6.89\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e20.75\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLA4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1667\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2405\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e233\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e6.74\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e6.49\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e19.93\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLA5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1850\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ebnlg1660\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e1066\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.68\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.82\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e13.14\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLA6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc2165\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ebnlg1759\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e688\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.54\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.00\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.51\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e12.29\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLA8-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1665\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2199\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e446\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.03\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.71\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e16.90\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLA8-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1765\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1460\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e819\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.06\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.03\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.14\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e11.34\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLA9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ebnlg1129\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e1084\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.05\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.12\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.47\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;12.36\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003ePH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQPH1-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1538a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ebnlg1347a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.06\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.32\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;0.03\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQPH1-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003edupssr26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1243\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e1082\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.35\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;0.03\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQPH2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc2248\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1579\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e331\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.49\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.86\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQPH4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003edupssr34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1667\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e202\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.48\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.13\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.00\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQPH6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e167\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.52\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.28\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.83\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQPH7-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1409\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ephi034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e650\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.73\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.03\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.84\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQPH7-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2327\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e842\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.33\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.07\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.80\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQPH8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1765\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1460\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e819\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.91\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.20\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.03\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQPH10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc2021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ezmrr2pcr\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e900\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.63\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.03\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.06\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;0.03\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQSD3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc2002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ephi053\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e708\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.39\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.11\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.80\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.13\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQSD4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg490\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ebnlg1937\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.11\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.21\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.62\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;0.09\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQSD5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1274\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1784\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e900\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e5.49\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.08\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.17\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;0.12\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQSD6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1621\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2059\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e1213\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.32\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.52\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.11\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQSD8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg1782\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1665\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e418\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.02\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.05\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e5.17\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.14\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQSD9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ebnlg1129\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e1081\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.62\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;0.09\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQSD10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg1677\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2351\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e716\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.63\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.81\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;0.12\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003eTBN\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQTBN1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1306\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2047\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e221\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.80\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.02\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.51\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.45\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQTBN2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1579\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2403\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e423\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.89\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.22\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.54\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.45\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQTBN3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg1452\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e1225\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e6.62\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e5.53\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.68\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQTBN5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ebnlg1118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e6.93\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.05\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e5.18\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.66\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQTBN7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1671\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1412\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.80\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.05\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.34\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.44\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQTBN9-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1492\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2121\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e373\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.92\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.97\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.64\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQTBN9-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1519\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1657\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e502\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.80\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.12\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.31\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.43\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQTBN10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg1074\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e371\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.63\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.17\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e1.80\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.38\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003eLW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLW1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc2047\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1991\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e235\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.21\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.16\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.30\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.12\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLW2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc2079\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e240\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.22\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.02\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.99\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;0.13\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLW3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1458\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2377\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e1810\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.55\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.59\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;0.12\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLW5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1722\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e169\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.34\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.05\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.20\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.13\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLW6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1621\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2059\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e1214\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.85\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.46\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.14\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLW8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1665\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2199\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e433\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.11\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.57\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.12\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLW9-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg1191\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ebnlg1525\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e695\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.93\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.81\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;0.15\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLW9-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ebnlg1129\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e1178\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.95\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.03\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.31\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;0.16\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLW10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1506\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003ebnlg594\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e472\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.33\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.02\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e5.97\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e0.19\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003eLL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLL1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ephi227562\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1538a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.31\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.04\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.33\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e1.23\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLL2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1579\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2403\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e343\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.58\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.02\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.02\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e1.14\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLL3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg1452\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc2033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e1140\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e6.33\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.42\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.52\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e1.75\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLL4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1313\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e468\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.99\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.41\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e5.26\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e1.87\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLL5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc2111\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003edupssr10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e463\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.47\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.03\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e2.40\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e1.26\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLL8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003eumc1765\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1460\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e819\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e5.14\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.01\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e3.58\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e1.52\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd nowrap=\"\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 11px;\"\u003e\n \u003cp\u003eJQLL10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003ebnlg210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 13px;\"\u003e\n \u003cp\u003eumc1345\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 9px;\"\u003e\n \u003cp\u003e214\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.26\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 12px;\"\u003e\n \u003cp\u003e0.73\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e4.23\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd nowrap=\"\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u0026minus;1.66\u0026nbsp;\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\u003eNotes:\u003c/p\u003e\n\u003cp\u003ePVE (%), Percentage of phenotypic variance explained. Add, Additive effect of the QTL; positive values indicate that the alleles for higher trait values are contributed by 082, and negative values indicate that the alleles for higher trait values are contributed by Ye107.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 7.\u003c/strong\u003e Predicted maize genes within the QTL interval.\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"123%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003eNumber\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003eGene ID\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 40px;\"\u003e\n \u003cp\u003eGene description\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 28px;\"\u003e\n \u003cp\u003eChr1 Location\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003eZm00001d032678\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 40px;\"\u003e\n \u003cp\u003eHaloacid dehalogenase-like hydrolase (HAD) superfamily protein\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e233,951,533-234,840,412\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003eZm00001d032768\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 40px;\"\u003e\n \u003cp\u003eCCT motif family protein\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e236,863,389-238,487,010\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 10px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003eZm00001D032850\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 40px;\"\u003e\n \u003cp\u003ephosphate transporter protein2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e240,081,753-241,566,874\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\u003eNotes:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe physical location reference Zea mays -B73-REFERENCE- GRAMENE-4.0.\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"plant-molecular-biology-reporter","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pmbr","sideBox":"Learn more about [Plant Molecular Biology Reporter](http://link.springer.com/journal/11105)","snPcode":"11105","submissionUrl":"https://submission.nature.com/new-submission/11105/3","title":"Plant Molecular Biology Reporter","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Maize (Zea mays L.), Low-phosphorus stress, Agronomic traits, QTL mapping","lastPublishedDoi":"10.21203/rs.3.rs-8796553/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8796553/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eGrowing maize in soils that lack available phosphorus, an essential nutrient for plant growth, can lead to dwarf plants with weak roots and small leaves. It is also difficult for plants to absorb phosphorus from the soil environment. Developing maize varieties that efficiently utilize phosphorus would help to overcome this problem. However, relevant QTL need to be identified to achieve this goal. In this study, a QTL analysis was conducted of a maize F\u003csub\u003e2:3\u003c/sub\u003e population grown in a low-phosphorus soil environment at three different planting sites. The population consisted of 180 individual plants produced from a cross between a high-phosphorus efficiency genotype (082) and a low-phosphorus efficiency genotype (Ye107). The QTL analysis identified five stable QTLs associated with several important agronomic traits. The QTLs were identified in the same marker interval in the populations planted at the three different planting sites. Four QTLs identified the mapping population at one planting site were close to the five QTLs in the joint analysis of all planting sites, indicating that there may be common QTLs near these markers. Some one-cause-multiple-effect QTLs that may share genetic mechanisms were detected on chromosomes 1, 3, 4, 7, 9 and 10. These were QLA1-1 and QLW1-3, QLA3-1 and QLL3-3, QLA4-1 and QLL4-2, QPH7-1 and QTBN7-3, QPH9-2 and QTBN9-4, QLA9-1, QSD9-3 and QLW9-6, LA10-1 and QLW10-3, QLA10-1 and QLW10-3, and QLW10-3. QLW9-6, and LA10-1 and QLW10-3. This study provides a foundation for marker-assisted breeding of maize under low-phosphorus conditions.\u003c/p\u003e","manuscriptTitle":"QTL mapping of agronomic traits in maize (Zea mays L.) grown in a low- phosphorus environment","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-10 09:43:38","doi":"10.21203/rs.3.rs-8796553/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-04-16T03:04:31+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-15T13:48:10+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-15T04:35:02+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-14T13:55:21+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-12T16:07:10+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"3332569705480642851552396470305000222","date":"2026-04-07T22:05:32+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-07T06:01:12+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"332291522800283704161278391005122278706","date":"2026-04-07T04:44:39+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"322376133294998616847655044780028081815","date":"2026-04-06T15:53:09+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"159553686223228103487743239865845241509","date":"2026-04-06T11:04:34+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"307766387688049511470077187952156093962","date":"2026-04-06T10:42:26+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"223121268739130846402552628199431236099","date":"2026-04-06T10:26:33+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-04-06T08:46:12+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-02-10T11:12:57+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-02-10T11:09:22+00:00","index":"","fulltext":""},{"type":"submitted","content":"Plant Molecular Biology Reporter","date":"2026-02-05T11:04:03+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"plant-molecular-biology-reporter","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pmbr","sideBox":"Learn more about [Plant Molecular Biology Reporter](http://link.springer.com/journal/11105)","snPcode":"11105","submissionUrl":"https://submission.nature.com/new-submission/11105/3","title":"Plant Molecular Biology Reporter","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"4615b19f-1fc4-43c1-b02b-3dfb0c6c6f1f","owner":[],"postedDate":"April 10th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-05-07T14:23:05+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-10 09:43:38","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8796553","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8796553","identity":"rs-8796553","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}