Karyotype analysis of diploid and autotetraploid of seven tartary buckwheat cultivars in China

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Lian, P. Zhang, X. Wu, Y. Zhang, Q. Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5477581/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 25 Feb, 2025 Read the published version in Genetic Resources and Crop Evolution → Version 1 posted 9 You are reading this latest preprint version Abstract Diploid and autotetid taraplortary buckwheat cultivars were used to conduct a karyotype study using the conventional squash method, establishing a reference for polyploid breeding. In the present study, the seven cultivars exhibited similar karyotypic features in both diploid and autotetraploid accessions. The diploid chromosome number was 2n = 2x = 16, whereas it was 2n = 2x = 32 in the autotetraploid accessions. No. T6, T9, T18, T22, T27 and T36 contained one pair of SAT chromosomes, whereas No. T25 had two pairs. Compared with diploids, the total number of chromosomes and SAT chromosomes doubled in autotetraploids. However, the karyotype asymmetry coefficient for the seven diploids ranged from 59.38–61.78%, and for the autotetraploids, it ranged from 59.73–61.76%. Additionally, the karyotype of autotetraploids remained unchanged in 2A type cases. Chromosome doubling did not affect the evolutionary relationship or clustering of tartary buckwheat (P < 0.01). The karyotypes and chromosome numbers of these seven autotetraploid cultivars have been reported for the first time. Tartary buckwheat Diploid Autotraploid Karyotype analysis Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Introduction Buckwheat belongs to the genus Fagopyrum in the Polygonaceae family. Sweet buckwheat ( F.esculentum Moench) and tartary buckwheat [ F.tataricum (L.) Gaertn] are the two main grains (Lin, 2004 ). With continuous improvements in material and cultural living standards, people are paying more attention to healthy food and dietary therapy. Tartary buckwheat is a crop that integrates nutrition, healthcare, and medical treatments. People have a partiality in buckwheat food products. This demand has also increased. Although Stevens first reported the number of buckwheat chromosomes in 1912 (Morris, 1951 ), there are only a few reports on buckwheat chromosomes in China and abroad. Buckwheat chromosomes are small, and cytological observations are difficult. Therefore, most research is still at the chromosome number level (Chen, 2001 ). To date, the karyotype analysis of buckwheat has been limited to a few buckwheat species, namely: F.tartaricum (Chen, 2001 ; Du et al., 2005 ; He, 1992 ; Kim et al., 2023 ; Lei & Jing, 2000; Sheng, 2013 ; Suresh et al., 2011 ; Wang et al., 2005 ; Yang et al., 2010 ; Zhang et al., 2000 ; Zhou et al., 2012 ), F. esculentum (Chen, 2001 ; He, 1992 ; Kim et al., 2023 ; Lei & Jing, 2000; Sheng, 2013 ; Shi et al., 2016 ; Suresh et al., 2011 ; Wang et al., 2005 ; Yang et al., 2010 ; Zhang et al., 2000 ; Zhou et al., 2012 ), F. megaspartanium (Chen, 2001 ), F.pilus (Chen, 2001 ; Zhou et al., 2012 ), F. zuogongense (Chen, 2001 ), F.crispatifolium (Liu et al., 2009 ; Zhou et al., 2012 ), F. gracilipes (Liu et al., 2009 ; Shi et al., 2016 ; Yang et al., 2010 ; Zhou et al., 2012 ), F. densovillosum (Yang et al., 2010 ), F. cymosum (Yang et al., 2010 ; Zhou et al., 2012 ), F. qiangcai (Zhou et al., 2012 ), F. wenchuanense (Zhou et al., 2012 ), F. urophyllum (Shi et al., 2016 ), F. leptopodum var. grossii (Shi et al., 2016 ). Previous studies have primarily focused on karyotype analysis of diploid and wild buckwheat; however, autotetraploid tartary buckwheat has not been reported. This study aimed to investigate the number and karyotype of mitotic chromosomes in the root tips of seven species of diploid and autotetraploid tartary buckwheat. These findings provide valuable insights for genetic breeding strategies in buckwheat. Materials and methods Experimental Materials The diploid Tartary buckwheat used in this study was provided by the Buckwheat Industrial Technology Research Center of Guizhou Normal University. Autotetraploids were obtained from the Laboratory Center using the method of chromosome doubling in buckwheat. The materials used to study the diploids and autotetraploids are summarized in Table 1 . Table 1 The F. tataricum accessions used as experimental materials in this study Accessions (diploids) Spices Sources Accessions (autotetraploids) T6 Basu tartary buckwheat Nala, Basu County, Tibet, China T6* T9 WN090 Weining, Guizhou, China T9* T18 Wugang tartary Buckwheat Wugang, Hunan, China T18* T22 WN065 Weining, Guizhou, China T22* T25 Erjizao Weining, Guizhou, China T25* T27 Qianwei No.1 Weining, Guizhou, China T27* T36 Liuqiao No.1 Liupanshui, Guizhou, China T36* * Refers to autotetraploids obtained by chromosome doubling technique.The same below. Experimental Design Seeds of diploid and autotetraploid tartary buckwheat were germinated on moist filter paper in Petri dishes at room temperature in the dark. Once the root length of the seeds reached approximately 1.5 cm, the root tips were collected at a length of 2 mm, pretreated with saturated α-bromonaphthalene for 5h at 25°C, and fixed in Carnoy’s fixative solution Ⅰ for 12h for synchronization purposes. These were extracted, washed 2X with distilled water, and fixed with 0.075M KCl for 1h. After washing with KCl in distilled water for 10 min, samples were incubated in an enzyme solution containing a 4% enzyme mixture (pectinase and cellulase) at 37℃ for 5h. The macerated tissues were transferred onto alcohol-cleaned glass slides, the residual enzyme solution, rinsed 3X with distilled water and immersed in distilled water for 3h. Following enzymatic hydrolysis, the specimen was centered on the prepared slide and the remaining distilled water was removed by washing with Carnoy’s fixative solution I. It was meticulously crushed using the tip of the forceps to eliminate any impurities, followed by addition of a fixative around the crushed area for concentration. To extinguish the flame, it was gently heated over an alcohol lamp until it became almost dry. Once completely dried, it was carefully placed on a white porcelain plate using toothpicks and slowly immersed in 3% Giemsa dyeing solution (pH 6.8) for 1h. Thorough rinsing with tap water was performed until no traces of blue liquid were observed beneath the film, followed by rinsing 3X with distilled water and air drying. The prepared samples were examined under an Olympus BX51-DP70 Scientific Research Microscope. Calculation of karyotype parameters According to a unified standard (Li & Chen, 1985) and Levan's formula (Levan, 1964 ), the number of chromosomes required observation of at least 30 cells, from which five cells showing clearly visible chromosomes in the middle division were selected for various karyotype analysis parameters. Based on Stebbins' method for karyotype classification, Adobe Photoshop CS6 software was utilized for basic image analysis, processing and homologous chromosome pairing. ImageJ software was used to measure the relative lengths of the long and short arms of the chromosomes. The measured data were then organized using Excel 2016 according to the relative lengths of the chromosomes from largest to smallest. This also included calculation of the ratio of the longest chromosome to the shortest chromosome, the average arm ratio and karyotype asymmetry coefficient were calculated. Following Carlos's method (Carlos, 1986 ) and using Excel 2016 software, a karyotype asymmetry scatter plot was created with the average arm ratio on the x-axis and the karyotype asymmetry coefficient on the y-axis. Finally, karyotype cluster analysis was performed using SPSS 27. The formula for calculating the karyotype parameters is as follows (Arano, 1964 ; Chen, 2001 ). Results Chromosome number and characteristics of tartary buckwheat in root tip during the mitotic stage In the present study, seven accessions of tartary buckwheat (No. T6, T9, T18, T22, T25, T27, T36)were examined. All of these accessions were diploids and exhibited stable chromosome numbers and karyotype characteristics. Each had 16 chromosomes (2n = 2x = 16) and the karyotype formula was 2n = 2x = 16 = 12m + 4sm (Table 2 ). The morphologies, karyograms and idiograms of the different varieties are shown (Figs. 1 – 4 ). Table 2 Significant characteristics of the seven diploid and autotetraploid chromosomes Notes：A-SAT=The amount of SAT-chromosomes.P-SAT=The position of SAT-chromosomes The karyotypes of these species consist exclusively of metacentric (m) and submetacentric (sm) chromosomes. Additionally, differences were observed in the number and location of SAT chromosomes among different diploids. Accession No. T6, T9, T18, T22, T27 and T36 each had one pair of SAT chromosomes, whereas accession No. T25 had two pairs. Accession No. T6, T25, and T27, SAT were located on the submetacentric (sm) chromosome, whereas in the other four varieties, it was located on the metacentric (m) chromosome (Tables 3 and 4 ). The relative lengths of the chromosomes in the seven diploid accessions (No. T6, T9, T18, T22, T25, T27, T36) varied as follows: T6 had lengths ranging from 9.38–14.87%, T9 from 9.30–16.39%, T18 from 9.69–15.80%, T22 from 9.79–15.58%, T25from 9.08–16.00%, T27 from 8.00–15.20%, T36 from 9.84–14.05%. The differences were noted in the ranges of relative length ranges among these accessions (Tables 3 and 4 ). The karyotype asymmetry coefficients of seven diploid chromosomes (No. T6, T9, T18, T22, T25, T27, T36) ranged as follows: T6 from 59.14–61.23%, T9 from 61.00–61.56%, T18 from 59.12–59.65%, T22 from 59.70–60.14%, T25 from 61.26–62.08%, T27 from 61.39–61.76%, T36 from 61.18–61.94%. The highest coefficient was observed for No. T25 at 61.78%, whereas the lowest was No. T18 at 59.39%, resulting in a mean value of 60.76%. There were no significant differences between the different species (P < 0.01) (Table 2 ). Table 3 Karyotype parameters of the seven somatic diploid and autotetraploid chromosomes Chromosomal number (Ploidy level) Accessions N0. T6 T9 T18 T22 RL AR PC RL AR PC RL AR PC RL AR PC 1(2x) 14.87 ± 0.09 1.46 ± 0.02 m 16.39 ± 0.05 2.09 ± 0.02 sm 15.80 ± 0.05 1.16 ± 0.01 m 15.58 ± 0.06 1.47 ± 0.01 m 2(2x) 14.01 ± 0.08 1.49 ± 0.01 m 14.30 ± 0.12 1.55 ± 0.05 m 13.21 ± 0.09 1.78 ± 0.03 sm 14.45 ± 0.05 1.75 ± 0.02 sm 3(2x) 13.80 ± 0.07 1.40 ± 0.03 m 14.00 ± 0.04 1.58 ± 0.02 m 12.72 ± 0.09 1.68 ± 0.01 m 14.32 ± 0.05 1.62 ± 0.02 m # 4(2x) 13.40 ± 0.11 1.60 ± 0.04 m 12.75 ± 0.15 1.30 ± 0.02 m 12.68 ± 0.04 1.38 ± 0.01 m 12.78 ± 0.04 1.31 ± 0.02 m 5(2x) 12.23 ± 0.05 1.32 ± 0.02 m 11.67 ± 0.11 1.50 ± 0.03 m 12.64 ± 0.03 1.54 ± 0.03 m 11.46 ± 0.08 1.41 ± 0.01 m 6(2x) 11.70 ± 0.09 1.36 ± 0.03 m 11.58 ± 0.05 1.59 ± 0.03 m # 12.13 ± 0.05 1.22 ± 0.02 m # 11.09 ± 0.07 1.28 ± 0.02 m 7(2x) 10.59 ± 0.03 1.76 ± 0.04 sm 10.01 ± 0.08 1.51 ± 0.03 m 11.14 ± 0.06 1.34 ± 0.01 m 10.53 ± 0.05 1.43 ± 0.01 m 8(2x) 9.38 ± 0.07 2.07 ± 0.04 sm # 9.30 ± 0.07 1.78 ± 0.04 sm 9.69 ± 0.06 2.18 ± 0.05 sm 9.79 ± 0.04 2.09 ± 0.03 sm 1(4x) 15.51 ± 0.11 1.41 ± 0.02 m 14.72 ± 0.12 2.08 ± 0.01 sm 16.35 ± 0.07 1.41 ± 0.02 m 16.70 ± 0.09 1.23 ± 0.01 m 2(4x) 14.97 ± 0.08 1.39 ± 0.01 m 14.26 ± 0.09 1.59 ± 0.01 m 14.451 ± 0.03 1.75 ± 0.02 sm 14.73 ± 0.09 1.76 ± 0.04 sm 3(4x) 14.41 ± 0.09 1.26 ± 0.01 m 14.17 ± .011 1.66 ± 0.01 m 12.47 ± 0.10 1.34 ± 0.02 m 13.89 ± 0.07 1.39 ± 0.02 m # 4(4x) 12.29 ± 0.12 1.54 ± 0.03 m 13.32 ± 0.07 1.44 ± 0.03 m 12.10 ± 0.09 1.28 ± 0.01 m 12.63 ± 0.07 1.53 ± 0.01 m 5(4x) 11.26 ± 0.09 1.52 ± 0.03 m 13.18 ± 0.04 1.55 ± 0.02 m 11.95 ± 0.05 1.34 ± 0.02 m 11.08 ± 0.08 1.42 ± 0.01 m 6(4x) 11.02 ± 0.10 1.48 ± 0.03 m 11.57 ± 0.03 1.41 ± 0.03 m # 11.82 ± 0.13 1.62 ± 0.03 m # 11.01 ± 0.05 1.46 ± 0.02 m 7(4x) 10.45 ± 0.05 1.78 ± 0.03 sm 9.99 ± 0.06 1.26 ± 0.04 m 11.45 ± 0.07 1.48 ± 0.01 m 10.92 ± 0.05 1.48 ± 0.05 m 8(4x) 10.07 ± 0.09 2.11 ± 0.03 sm # 8.80 ± 0.07 1.88 ± 0.02 sm 9.42 ± 0.08 2.06 ± 0.04 sm 9.05 ± 0.03 2.11 ± 0.04 sm Notes: RL = relative length (%); AR = arm ratio; PC = position of centromere; #= SAT chromosome. The same below. Table 4 Karyotype parameters of No. T25, T27 and T36 Chromosomal number (Ploidy level) Accessions N0. T25 T27 T36 RL AR PC RL AR PC RL AR PC 1(2x) 16.00 ± 0.09 1.62 ± 0.02 m 15.20 ± 0.06 1.55 ± 0.01 m 14.05 ± 0.06 1.61 ± 0.02 m 2(2x) 15.24 ± 0.14 1.67 ± 0.02 m 14.40 ± 0.03 1.61 ± 0.02 m 14.01 ± 0.07 1.63 ± 0.02 m 3(2x) 15.12 ± 0.07 1.64 ± 0.01 m 14.33 ± 0.05 1.46 ± 0.02 m 13.49 ± 0.08 1.75 ± 0.02 sm 4(2x) 12.31 ± 0.14 1.65 ± 0.04 m 13.81 ± 0.06 1.58 ± 0.01 m 12.67 ± 0.03 1.49 ± 0.01 m 5(2x) 12.07 ± 0.11 1.95 ± 0.04 sm # 13.66 ± 0.09 1.52 ± 0.01 m 12.48 ± 0.04 1.54 ± 0.02 m 6(2x) 10.45 ± 0.06 1.48 ± 0.04 m 10.51 ± 0.07 1.84 ± 0.03 sm 11.85 ± 0.08 1.57 ± 0.01 m 7(2x) 9.73 ± 0.09 1.40 ± 0.03 m 10.10 ± 0.08 2.19 ± 0.06 sm # 11.60 ± 0.03 1.46 ± 0.03 m # 8(2x) 9.08 ± 0.17 2.08 ± 0.06 sm # 8.00 ± 0.03 1.60 ± 0.02 m 9.48 ± 0.05 2.07 ± 0.04 sm 1(4x) 15.71 ± 0.06 1.46 ± 0.02 m 14.43 ± 0.05 1.64 ± 0.02 m 17.82 ± 0.05 1.44 ± 0.01 m 2(4x) 14.97 ± 0.04 1.52 ± 0.01 m 14.36 ± 0.06 1.62 ± 0.02 m 15.91 ± 0.05 1.45 ± 0.03 m 3(4x) 14.15 ± 0.07 1.48 ± 0.01 m 14.04 ± 0.09 1.52 ± 0.01 m 14.07 ± 0.10 2.05 ± 0.02 sm 4(4x) 13.73 ± 0.08 1.67 ± 0.03 m 13.88 ± 0.08 1.51 ± 0.02 m 11.00 ± 0.05 1.53 ± 0.04 m 5(4x) 13.51 ± 0.09 1.93 ± 0.02 sm # 11.99 ± 0.11 1.42 ± 0.02 m 10.93 ± 0.04 1.65 ± 0.03 m 6(4x) 9.65 ± 0.04 1.60 ± 0.04 m 11.25 ± 0.06 1.75 ± 0.02 sm 10.76 ± 0.08 1.47 ± 0.03 m # 7(4x) 9.56 ± 0.04 1.66 ± 0.03 m 11.02 ± 0.04 2.07 ± 0.02 sm # 10.34 ± 0.10 1.66 ± 0.04 m 8(4x) 8.72 ± 0.09 2.06 ± 0.05 sm # 9.03 ± 0.07 1.64 ± 0.02 m 9.17 ± 0.06 1.84 ± 0.04 sm According to Stebbins' Classification Standard (1971), karyotype analysis of the seven diploid chromosomes showed that they all belonged to the 2A type (Table 2 ). Karyotype evolution trend analysis It is generally believed that the trend of karyotype evolution changed from symmetry to asymmetry. In this experiment, the evolutionary degree of the tested tartary buckwheat was relatively evolved, among which No. T18 and T18* are the most primitive and No. T25 and T25* are the most evolved varieties, while the other varieties are in the middle (Fig. 5 ). Two independent samples t-tests showed that chromosome doubling had no effect on the evolutionary relationship of buckwheat (P < 0.01) (Table 2 ). Cluster analysis The UPGMA method was used for clustering with Euclidean distance as a similar scale. The results (Fig. 6 ) indicated a genetic distance of 5. The seven varieties of tartary buckwheat were classified into two categories: three varieties of diploids (No. T6, T18 and T22) and four diploid varieties (No. T9, T25, T27 and T36). When the separation was 25, all the varieties were clustered into one group. In general, the distance between No. T6, T18 and T22, as well as between T25 and T27, and between T9 and T36 varieties were relatively small. Their autotetraploids clustering results were consistent with those of the diploids (Fig. 6 ). Changes of chromosome number and characteristics after doubling tartary buckwheat After doubling the seven tartary buckwheat accessions, only the number of chromosomes and SAT doubled. The number of chromosomes was 32(2n = 4x = 32) and the karyotype formula was 2n = 4x = 32 = 24m + 8sm (Table 2 ). The relative lengths also differed, but the karyotype asymmetry coefficient and clustering results did not change significantly (P < 0.01). The morphologies, karyograms and idiograms of the different varieties (No. T6*, T9*, T18*, T22*, T25*, T27*, T36*) are shown in Figs. 1 – 4 . According to Stebbins’ Karyotype Classification Standard (1971), karyotype analysis of the seven autotetraploids chromosomes showed that they all belonged to the 2A type (Table 2 ). Discussions Karyotype of tartary buckwheat In this study, the number of the seven diploid and autotetraploid chromosomes were and , respectively. In addition, this study found that one pair of SAT chromosomes co-existed with two pairs in root tip cells and each of the six diploids (T6, T9, T18, T22, T27, T36) possessed one pair of SAT chromosomes, which was consistent with the results reported by Zhang et al. ( 2000 ) and Wang et al. ( 2005 ). However, two diploids (T25, T39) consistently exhibited the presence of two pairs of SAT chromosomes, aligning with previous findings reported by Zhu et al. (1984), He et al. (1992), Lei et al. (2000), Chen ( 2001 ), Yang et al. ( 2010 ), and Sheng ( 2013 ). Whereas six autotetraploids (T6*, T9*, T18*, T22*, T27*, T36*) had two pairs of SAT chromosomes, but the T25* and T39* had four pairs of SAT chromosomes. The autotetraploid SAT chromosomes and their number are reported for the first time. In terms of the karyotype formulas, the T9, T18, T22 and T36 were consistent with those reported by Zhang et al. ( 2000 ). The T25 and T39 were consistent with the karyotypes reported by Chen (2011) and Sheng ( 2013 ). The T6 and T27 were consistent with those reported by Wang et al. ( 2005 ). This study has not seen the results reported by Lei et al. (2000), namely and Yang et al. ( 2010 ), namely, . The karyotype formulas of the seven autotetraploids (T6*, T9*, T18*, T22*, T25*, T27*, T36*) are reported for the first time. The number of the seven diploid and autotetraploid chromosomes were consistent with previous research result. However, there were differences in the number and location of SAT and karyotype formulas. It indicated genetic diversity at the chromosome level among different germplasm of tartary buckwheat. There were significant differences in the climate and soil environments of different regions, and regional plants have been adapting to environmental conditions for a long time. It may also be due to the accumulation of subtle changes such as gene deletion, inversion, translocation, and insertion during the recombination process of chromosomes, resulting in changes in the development of chromosome morphology and structure. Karyotype changes after chromosome doubling The karyotype characteristics of the same crop with different ploidy are similar, for example, papaya (Wang et al., 2007 ), broccoli (Zhang et al., 2010 ), Solanaceae (Melo et al., 2011 ), non-heading Chinese cabbage (Zheng et al., 2012 ), small fruit watermelons (Yuan et al., 2013 ), goji berries (Gao et al., 2020 ). This study has further confirmed that the homologous tetraploid obtained by doubling the diploid of tartary buckwheat exhibited symmetrical karyotype characteristics with the corresponding diploid, and there are no changes in chromosomes and karyotype types. It is consistent with previous research results. Namely, the karyotype characteristics of the same crop with different ploidy are consistent. Declarations Acknowledgements We thank all researchers in the project for their dedication and hard work. Authors’ contributions L.L. had the idea for and designed the study. L.L., P.Z., X.W., Y.Z., Q.C. did the statistical analysis. All authors contributed to acquisition, analysis, or interpretation of data. L.L. wrote the draft report. All authors revised the report and approved the final version before submission. Fundi n g The project was supported by The Special Fund Project for scientists in buckwheat breeding position of National Modern Agricultural Industrial Technology System (No. CARS-07-A5); Yunnan Science and Technology Major Project and Key Research and Development Program (No.202202AE090020); the Science and Technology Project of Bijie City (Bike Joint-[2023] No. 21), the Science and Technology Planning Project of Guizhou Province (QianKeHeZhiCheng-[2024]YiBan112). Availability of data and material All data and materials mentioned in this article are available. Conf l ict of interest The authors declare that there is no conflict of commercial interest related to this paper. Consent for publication The authors declare that there are Consent for publication. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. References Arano, H. (1964). Cytotaxonomic studies in subfam. Carduoideae of Japanese Compositae. XI. The karyotype analysis in some species of Artemisia. Kromosomo 57 . Carlos, R. Z. (1986). A New Method for Estimating Karyotype Asymmetry. TAXON 35, 526-530. Chen, Q. F. (2001). Karyotype analysis of five Fagopyrum species native to China. Guihaia 21, 107-110. Du, X., Chen, M. Y., Liu, P. &Xu, G. D. (2005). Karyotype Analysis of Two Buckwheat Variety Chromosomes. Subtropical Plant Science 34, 36-38. Gao, F. H., He, L. J., Chen, H. J., Liu, J. W., Shan, Y. M., Wang, W. J. , et al. (2020). Chromosome doubling and polyploid karyotype analysis of wild Lycium ruthenium. Molecular Plant Breeding 18, 7522-7529. He, F. F. (1992). Karyotype analysis of buckwheat. Journal of Southwest Agricultural University 14, 522-523. Kim, W. C., Kim, H. R. &Ahn, S. M., Kweon (2023). Species differentiation of two cultivar species in Fagopyrum (Polygonaceae). Cytologia : International journal of cytology 88, 379-385. Lei, b.Jing, R. Z. (2000). Studies on the karyotype of chromosomes of buckwheats. Journal of Sichuan University 37, 142-143. Levan, A. F., K.; Sandeberg, A. (1964). Nomenclature for centromeric position on chromosomes. Hereditas 52, 201-220. Li, M. X.Chen, R. Y. (1985). A suggestion on the standardization of karyotype analysis in plants. Journal of Wuhan Botanical Research 3, 297-302. Lin, R. F. (2004). The Development and Utilization of Tartary Buckwheat Resources. In "Proceedings of the 9 International Symposium on Buckwheat", pp. 252-258. Liu, J. L., Tang, Y., Shao, J. R., Luo, Q. &Sun, J. X. (2009). Karyotypic Studies of Two Wild Buckwheat Species in the Fagopyrum Mill. Jounal of Northwest Botany 29, 1798-1803. Melo, C. A. F., Martins, M. I. G., Oliveira, M. B. M., Benko-Iseppon, A. M. &Carvalho, R. (2011). Karyotype analysis for diploid and polyploid species of the Solanum L. Plant Systematics and Evolution 293, 227-235. Morris, M. R. (1951). Cytogenetic studies on buckwheat. Journal of Heredity 42, 85-89. Sheng, M. Y. (2013). Physical mapping of the 45S and 5SrDNA of cultivated buckwheat. Journal of Plant Genetic Resources 14, 317-321. Shi, J. Q., Li, Y. Q., Zhang, Z. W., Wu, B. &Wang, A. H. (2016). Analysis of karyotypes and evolutionary features of wild buckwheat species of buckwheat. Journal of Plant Genetic Resources 17, 455-460. Suresh, N., Tamaki, H., Junichi, W., Kazumi, T., Hiroko, K. &Shigeru, S. (2011). Karyotype analysis of buckwheat using atomic force microscopy. Microscopy and Microanalysis 17, 572-577. Wang, J. S., Chai, Y., Zhao, X. T. &JI, W. Q. (2005). Karyotype Analysis of Chinese Buckwheat Cultivars. Acta Botanica Boreali-Occidentalia Sinica 25, 1114-1117. Wang, W. X., Li, C. Y., Xiang, S. Q. &Liang, G. L. (2007). Karyotypes Analysis and 45S rDNA-FISH of the Tetraploid and Diploid in Carica papaya L. Acta Horticulturae Sinica 34, 345-348. Yang, X. Y., Wu, Z. F., Chen, H., Shao, J. R. &Wu, Q. (2010). Karyotype and genetic relationship based on RAPD markers of six wild buckwheat species (Fagopyrum spp.) from southwest of China. Genetic Resources and Crop Evolution 57, 649-655. Yuan, J. M., Dang, X. M., Zhan, Y. F., Li, Y. R., Dan, Z., Yang, C. K. , et al. (2013). Karyotype analysis of diploid and autotetraploid mini-watermelon. Northern Horticulture , 40-43. Zhang, H. M., Zhang, S. N., Yu, X. H. &Hou, X. L. (2010). Karyotype Analysis of Autotetraploid Broccoli. Acta Botanica Boreali-Occidentalia Sinica 30, 63-67. Zhang, H. Z., Guan, Z. X., Liu, X. Y. &Liu, Y. H. (2000). Karyotype analysis of F. exculetum and F. tataricum . Journal of Inner Mongolia Agricultural University (Natural Science Edition) 21, 69-74. Zheng, J. S., Zhang, S. N., Sun, C. Z., Wang, J. J. &Hou, X. L. (2012). Karyotype analysis of diploid and autotetraploid non-heading Chinese cabbage. Journal of Nanjing Agricultural University 35, 131-134. Zhou, M. L., Bai, D. Q., Tang, Y., Zhu, X. M. &Shao, J. R. (2012). Genetic diversity of four new species related to southwestern Sichuan buckwheats as revealed by karyotype, ISSR and allozyme characterization. Plant Systematics and Evolution 298, 751-759. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 25 Feb, 2025 Read the published version in Genetic Resources and Crop Evolution → Version 1 posted Editorial decision: Revision requested 16 Dec, 2024 Reviews received at journal 16 Dec, 2024 Reviewers agreed at journal 11 Dec, 2024 Reviews received at journal 27 Nov, 2024 Reviewers agreed at journal 26 Nov, 2024 Reviewers invited by journal 23 Nov, 2024 Editor assigned by journal 20 Nov, 2024 Submission checks completed at journal 20 Nov, 2024 First submitted to journal 18 Nov, 2024 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-5477581","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":383639674,"identity":"e190773b-0c3c-49ef-ae64-7a485ae50c04","order_by":0,"name":"L. Lian","email":"","orcid":"","institution":"School of Mining Engineering, Guizhou University of Engineering Science","correspondingAuthor":false,"prefix":"","firstName":"L.","middleName":"","lastName":"Lian","suffix":""},{"id":383639676,"identity":"63dc2f50-359d-401c-bfb0-0925d6860cf5","order_by":1,"name":"P. Zhang","email":"","orcid":"","institution":"Zhuhai No.3 High School","correspondingAuthor":false,"prefix":"","firstName":"P.","middleName":"","lastName":"Zhang","suffix":""},{"id":383639677,"identity":"e11fdd3d-4c6f-47ba-8721-3d56bde84436","order_by":2,"name":"X. Wu","email":"","orcid":"","institution":"The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine","correspondingAuthor":false,"prefix":"","firstName":"X.","middleName":"","lastName":"Wu","suffix":""},{"id":383639678,"identity":"8b3572e6-d024-43f7-bb54-88d6203ca25c","order_by":3,"name":"Y. Zhang","email":"","orcid":"","institution":"Ecological Engineering School, Guizhou University of Engineering Science","correspondingAuthor":false,"prefix":"","firstName":"Y.","middleName":"","lastName":"Zhang","suffix":""},{"id":383639680,"identity":"a1203ffa-4912-4b97-9dda-0de462747ab4","order_by":4,"name":"Q. Chen","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAuklEQVRIiWNgGAWjYFACxgcHPlTYyLGxtx8gVguz4cEZZ9KM+XjOJBCtxfgwb8uhxHkSDgbEaeBvT2Y4zNtwIL1NgiGB4UfFNsJaJM48Zjg4d8ed3DbpxgOMPWduE9ZiIJF/4MDbM89y22QOJDAzthGlJZnhAG/b4XQ2iQQD4rUcBGpJIF4L2C/AQDZsAwbyQaL8Agwx5g/AqJSXb28/+OBHBRFaGIBBCwcHiFGPqmUUjIJRMApGAVYAAKJxQur9LqekAAAAAElFTkSuQmCC","orcid":"","institution":"Research Center of Buckwheat Industry Technology，Guizhou Normal University","correspondingAuthor":true,"prefix":"","firstName":"Q.","middleName":"","lastName":"Chen","suffix":""}],"badges":[],"createdAt":"2024-11-18 16:44:50","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5477581/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5477581/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s10722-025-02341-y","type":"published","date":"2025-02-25T15:57:52+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":72285628,"identity":"49b6d66c-3e31-492d-8409-98e066b38cb1","added_by":"auto","created_at":"2024-12-24 16:53:52","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":67532,"visible":true,"origin":"","legend":"\u003cp\u003eThe morphologies, karyograms and idiograms of No. T6, T6* (a) and No. T9, T9* (b) by A, B and C; D, E and F respectively.\u003c/p\u003e","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-5477581/v1/602842507aec6a12cccd5dfc.jpg"},{"id":72286270,"identity":"fd8aa378-3a7b-4c6e-ac7a-6441942204f1","added_by":"auto","created_at":"2024-12-24 17:01:52","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":67243,"visible":true,"origin":"","legend":"\u003cp\u003eThe morphologies, karyograms and idiograms of No. T18, T18* (a) and No. T22, T22* (b) by A, B and C; D, E and F respectively.\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-5477581/v1/9e7251dc402c6c0dfc86b144.jpg"},{"id":72285632,"identity":"ca4661c6-d64f-4c5f-8f4f-5d1438559386","added_by":"auto","created_at":"2024-12-24 16:53:52","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":60599,"visible":true,"origin":"","legend":"\u003cp\u003eThe morphologies, karyograms and idiograms of No. T25, T25* (a) and No. T27, T27* (b) by A, B and C; D, E and F respectively.\u003c/p\u003e","description":"","filename":"3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-5477581/v1/d5c6560af41bbaf16feda08b.jpg"},{"id":72286269,"identity":"daa74bf7-051e-4e6e-9152-9fbe57bcd9f3","added_by":"auto","created_at":"2024-12-24 17:01:52","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":32797,"visible":true,"origin":"","legend":"\u003cp\u003eThe morphologies, karyograms and idiograms of No. T36 andT36* by A, B and C; D, E and F respectively.\u003c/p\u003e","description":"","filename":"4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-5477581/v1/25f836481437a37e8c7265a0.jpg"},{"id":72285630,"identity":"4969c9a7-9b11-4532-bac7-58e261e80807","added_by":"auto","created_at":"2024-12-24 16:53:52","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":37319,"visible":true,"origin":"","legend":"\u003cp\u003eKaryotype coordinate image of the seven diploids (a) and autotetraploids (b)\u003c/p\u003e","description":"","filename":"5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-5477581/v1/1506a1fe0f0247c7c2715aaa.jpg"},{"id":72286271,"identity":"5df94183-fc9d-4871-9b0a-5843e1b037ab","added_by":"auto","created_at":"2024-12-24 17:01:52","extension":"jpg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":34373,"visible":true,"origin":"","legend":"\u003cp\u003eCluster of the seven diploids (a) and autotetraploids (b) based on karyotype\u003c/p\u003e","description":"","filename":"6.jpg","url":"https://assets-eu.researchsquare.com/files/rs-5477581/v1/d0ac5cc8f87ec13dd8fcc582.jpg"},{"id":77622513,"identity":"ff5320ff-54d9-4648-85f3-a8d3211ffd00","added_by":"auto","created_at":"2025-03-03 16:07:46","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1238428,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5477581/v1/24f17a6a-edba-45d3-b8f9-0076cc2ed540.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Karyotype analysis of diploid and autotetraploid of seven tartary buckwheat cultivars in China","fulltext":[{"header":"Introduction","content":"\u003cp\u003eBuckwheat belongs to the genus \u003cem\u003eFagopyrum\u003c/em\u003e in the \u003cem\u003ePolygonaceae\u003c/em\u003e family. Sweet buckwheat (\u003cem\u003eF.esculentum\u003c/em\u003e Moench) and tartary buckwheat [\u003cem\u003eF.tataricum\u003c/em\u003e (L.) Gaertn] are the two main grains (Lin, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2004\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eWith continuous improvements in material and cultural living standards, people are paying more attention to healthy food and dietary therapy. Tartary buckwheat is a crop that integrates nutrition, healthcare, and medical treatments. People have a partiality in buckwheat food products. This demand has also increased.\u003c/p\u003e \u003cp\u003eAlthough Stevens first reported the number of buckwheat chromosomes in 1912 (Morris, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e1951\u003c/span\u003e), there are only a few reports on buckwheat chromosomes in China and abroad. Buckwheat chromosomes are small, and cytological observations are difficult. Therefore, most research is still at the chromosome number level (Chen, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2001\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eTo date, the karyotype analysis of buckwheat has been limited to a few buckwheat species, namely: \u003cem\u003eF.tartaricum\u003c/em\u003e (Chen, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2001\u003c/span\u003e; Du et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; He, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e1992\u003c/span\u003e; Kim et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Lei \u0026amp; Jing, 2000; Sheng, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2013\u003c/span\u003e; Suresh et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2011\u003c/span\u003e; Wang et al., \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; Yang et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Zhang et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2000\u003c/span\u003e; Zhou et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), F.\u003cem\u003eesculentum\u003c/em\u003e (Chen, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2001\u003c/span\u003e; He, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e1992\u003c/span\u003e; Kim et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Lei \u0026amp; Jing, 2000; Sheng, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2013\u003c/span\u003e; Shi et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Suresh et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2011\u003c/span\u003e; Wang et al., \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; Yang et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Zhang et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2000\u003c/span\u003e; Zhou et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), F.\u003cem\u003emegaspartanium\u003c/em\u003e (Chen, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2001\u003c/span\u003e), \u003cem\u003eF.pilus\u003c/em\u003e (Chen, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2001\u003c/span\u003e; Zhou et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), F.\u003cem\u003ezuogongense\u003c/em\u003e (Chen, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2001\u003c/span\u003e), \u003cem\u003eF.crispatifolium\u003c/em\u003e (Liu et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Zhou et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), F.\u003cem\u003egracilipes\u003c/em\u003e (Liu et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Shi et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Yang et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Zhou et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), F.\u003cem\u003edensovillosum\u003c/em\u003e (Yang et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2010\u003c/span\u003e), F.\u003cem\u003ecymosum\u003c/em\u003e (Yang et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Zhou et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), F.\u003cem\u003eqiangcai\u003c/em\u003e (Zhou et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), F.\u003cem\u003ewenchuanense\u003c/em\u003e (Zhou et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), F.\u003cem\u003europhyllum\u003c/em\u003e (Shi et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2016\u003c/span\u003e), F. \u003cem\u003eleptopodum\u003c/em\u003e var. \u003cem\u003egrossii\u003c/em\u003e (Shi et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2016\u003c/span\u003e).\u003c/p\u003e \u003cp\u003ePrevious studies have primarily focused on karyotype analysis of diploid and wild buckwheat; however, autotetraploid tartary buckwheat has not been reported. This study aimed to investigate the number and karyotype of mitotic chromosomes in the root tips of seven species of diploid and autotetraploid tartary buckwheat. These findings provide valuable insights for genetic breeding strategies in buckwheat.\u003c/p\u003e"},{"header":"Materials and methods","content":"\u003cp\u003eExperimental Materials\u003c/p\u003e \u003cp\u003eThe diploid Tartary buckwheat used in this study was provided by the Buckwheat Industrial Technology Research Center of Guizhou Normal University. Autotetraploids were obtained from the Laboratory Center using the method of chromosome doubling in buckwheat. The materials used to study the diploids and autotetraploids are summarized in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eThe \u003cem\u003eF. tataricum\u003c/em\u003e accessions used as experimental materials in this study\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAccessions\u003c/p\u003e \u003cp\u003e(diploids)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSpices\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSources\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eAccessions\u003c/p\u003e \u003cp\u003e(autotetraploids)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBasu tartary buckwheat\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNala, Basu County, Tibet, China\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT6*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWN090\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eWeining, Guizhou, China\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT9*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWugang tartary Buckwheat\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eWugang, Hunan, China\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT18*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWN065\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eWeining, Guizhou, China\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT22*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eErjizao\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eWeining, Guizhou, China\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT25*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eQianwei No.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eWeining, Guizhou, China\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT27*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLiuqiao No.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLiupanshui, Guizhou, China\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT36*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e* Refers to autotetraploids obtained by chromosome doubling technique.The same below.\u003c/p\u003e \u003cp\u003eExperimental Design\u003c/p\u003e \u003cp\u003eSeeds of diploid and autotetraploid tartary buckwheat were germinated on moist filter paper in Petri dishes at room temperature in the dark. Once the root length of the seeds reached approximately 1.5 cm, the root tips were collected at a length of 2 mm, pretreated with saturated α-bromonaphthalene for 5h at 25\u0026deg;C, and fixed in Carnoy\u0026rsquo;s fixative solution Ⅰ for 12h for synchronization purposes. These were extracted, washed 2X with distilled water, and fixed with 0.075M KCl for 1h. After washing with KCl in distilled water for 10 min, samples were incubated in an enzyme solution containing a 4% enzyme mixture (pectinase and cellulase) at 37℃ for 5h. The macerated tissues were transferred onto alcohol-cleaned glass slides, the residual enzyme solution, rinsed 3X with distilled water and immersed in distilled water for 3h. Following enzymatic hydrolysis, the specimen was centered on the prepared slide and the remaining distilled water was removed by washing with Carnoy\u0026rsquo;s fixative solution I. It was meticulously crushed using the tip of the forceps to eliminate any impurities, followed by addition of a fixative around the crushed area for concentration. To extinguish the flame, it was gently heated over an alcohol lamp until it became almost dry. Once completely dried, it was carefully placed on a white porcelain plate using toothpicks and slowly immersed in 3% Giemsa dyeing solution (pH 6.8) for 1h. Thorough rinsing with tap water was performed until no traces of blue liquid were observed beneath the film, followed by rinsing 3X with distilled water and air drying. The prepared samples were examined under an Olympus BX51-DP70 Scientific Research Microscope.\u003c/p\u003e \u003cp\u003eCalculation of karyotype parameters\u003c/p\u003e \u003cp\u003eAccording to a unified standard (Li \u0026amp; Chen, 1985) and Levan's formula (Levan, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e1964\u003c/span\u003e), the number of chromosomes required observation of at least 30 cells, from which five cells showing clearly visible chromosomes in the middle division were selected for various karyotype analysis parameters. Based on Stebbins' method for karyotype classification, Adobe Photoshop CS6 software was utilized for basic image analysis, processing and homologous chromosome pairing. ImageJ software was used to measure the relative lengths of the long and short arms of the chromosomes. The measured data were then organized using Excel 2016 according to the relative lengths of the chromosomes from largest to smallest. This also included calculation of the ratio of the longest chromosome to the shortest chromosome, the average arm ratio and karyotype asymmetry coefficient were calculated. Following Carlos's method (Carlos, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e1986\u003c/span\u003e) and using Excel 2016 software, a karyotype asymmetry scatter plot was created with the average arm ratio on the x-axis and the karyotype asymmetry coefficient on the y-axis. Finally, karyotype cluster analysis was performed using SPSS 27.\u003c/p\u003e \u003cp\u003eThe formula for calculating the karyotype parameters is as follows (Arano, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1964\u003c/span\u003e; Chen, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2001\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cimg 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\" width=\"491\" height=\"145\"\u003e\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eChromosome number and characteristics of tartary buckwheat in root tip during the mitotic stage\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003eIn the present study, seven accessions of tartary buckwheat (No. T6, T9, T18, T22, T25, T27, T36)were examined. All of these accessions were diploids and exhibited stable chromosome numbers and karyotype characteristics. Each had 16 chromosomes (2n\u0026thinsp;=\u0026thinsp;2x\u0026thinsp;=\u0026thinsp;16) and the karyotype formula was 2n\u0026thinsp;=\u0026thinsp;2x\u0026thinsp;=\u0026thinsp;16\u0026thinsp;=\u0026thinsp;12m\u0026thinsp;+\u0026thinsp;4sm (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The morphologies, karyograms and idiograms of the different varieties are shown (Figs.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e Significant characteristics of the seven diploid and autotetraploid chromosomes\u003c/p\u003e\n\u003cp\u003e\u003cimg 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hEiElAYhhBBCJEJKgxBCdEE4jaL/6iiKjZQGIYToBBDofKQK4c7VPoOMHWP32SDqf9QKg53w2HkeQzgLy4ev2DzKplELZ8/Zh7PMRNMUIh9SGoQQohPg31Pb6RD2o+/atcsJeE6EYPg3znzsinD8MyY+akU4DCdG+JfZ2BH08+fPdydL+IYFSgMfx+K0CSdMOMZKfPD48WP377Pt5AnxR9MUIh9SGoQQohNB4APCng9WjR8/3hkb9fMlTPD/iyP3UBKYHeCKMoCSgDKBkuHDzAIKx8GDB5175cqVbgaCND755JPYNIXIhZQGIYR4BzClgBE/Mwh8VjuKL9RREmzmgZmFXDCzsH379tAVuNkEe86+cZEvTSGySDcUIYQQncCyZcv4To4zacHt/Mz9X/7Lf8nYgfvmPnjwYGrTpk0Zd01NjbumFYnM1eL2w0XdPAfm5hkh8qGPOwkhRCfBBkaWJ8r5VUuWK+z/eLCfQZ/uFoWg5QkhhOgEOMnACYevvvoq9CkPbJb0T04IUQiaaRBCCCFEIjTTIIQQQohEZM00aLpKCCGEEEZ0MULLE0IIIYRIhJYnhBBCCJEIKQ1CCCGESISUBiGEEEIkQkqDEEIIIRJRcqWBf9VqHxIxY99Pt3/ZykdOhBBdE/4RE/1AHNYn0AfQL0T7iDgsTBT7F9N88RCsf6n0f8JE3fjlyldP0Xvm5h10Nex9c/WhnjqjvFbvbbVlk4mWb/Jrz+XCwkTLClF/i5/270OdWBvqCCVXGviPaxzQsH/Tav9pjczbv3Yt5ydUhRDl5ezZs6EtG/oAfv/WB9g/Uor+i2a/Q/T/jbPvbx0zz/PFQ+DzyPQ7lQ51w7+wNo4ePerKSV8a/VfWV69ezdQpfS/36Xf5L5dRIVLJ8L7575+Uk/blC+ZHjx65MkeFdSlJ2pZRDEwm2u+CT3rbv0g3yLv/vvbu3euegahyQRoG9/jCKGH5V+sG/igN/POyjlJypcH/72pABVFp/LD5l65dUQMWQrQNHaE/wrJOnk43V4fPQIP70TAIS/sX0kuWLHmrY+1K2P+KoC+N1pN9Itr8udLfEpa66ypYmYD33dLS4uwGQpg2US6StuV+/fpl3FOnTnXXtrB3CPyfkitXrjh7HNwbMGCAs/u/A/yRxb4Cj+wlz4XK4E7Z00BBqDC0Ia5d+QcuhIiHf8NMHzB+/PjQ501nC3RoGP4/Q1udG6NL6yzfF6irSZMmha5W+PfajLKTCqSuwMOHD51wBmTJrFmznAJZjFF1UtpqywbCn3dGe165cmXo+wbyz72amppgzZo1zr5ixYpg0KBBYYj8DBw4MFapwN8UD8sXbQXlivZSCJ22EdIqgZf7+PFjZxdCvH8wzU5nybQqnSUdJR0rnTCGjo0rnZx1fFHoFA2ECCO6rg7LFHH/oZI6YpTpj1B9e1eCctkMEyAwaUPz5s3LuSxWSnK15SjR5TUD5Ye2jiBnSQr71q1bw7uBk5V+W4/C7IspGyxPmDJFfeBHvDYDw94H6q7QJbxOURooiK23MEIYO3asswsh3j/oA+gT6PBMSUAY0slh/JkGBht0yhhfCNKHHDhwwNkRFl1RQPqw3p1PeICvMCAoko5WKwlmVGyZwqANYcBG1eUiV1s2aLdAGN5PNH/cp637Mw3sibClJWZP2ppRI12UEvaxAPstUBbwR6nxZ2CidZeIdEQlJ11xvEFnjLQW5dzcE6LSKdNPKS/vQh7iSHeALm/85tOdV+Y3j5/5Q3rE49zpjs25c2HPAWEtvPUz5rY+hvQrmbQAyJSZ+rN68v0oO1fzszowv0qvgyh+nWB419bOwK8LwpYaPx8Qbct+O7V8Egbwt+dzYWHst2PvG+xZSwN7NG7Ll/1GuG/5wFi8SXg3e5l3mJcvX6YmT57sKrqqqip1/fr18E7xKEcakNZgU3V1daHrDX76TU1NoW9hROMuV5mikIf2liEplMlIUk5+yNzDNDY2ujAXL14M776BuDZs2OCu5ra4o8bqGrsQQpSKTtvTUKkw1fPtt9/SMwefffZZsGrVquDVq1fh3eJQjjRYJ4vbiPP06dNgxIgRQf/+/V36M2fODO8kJy7ucpQpyo0bN4KTJ0+GrvLQVjnJU0NDQ/DTTz8Fv/32WzB69Gg3RdijR48wxBt27tzp1vG7d+/u3Hfv3s1MezJlicGeVjqChQsXujBCCFFS0p2OaCeMEMeMGZNqaWkJfYpPKdPINRuAf0eJxu1TjDJFR+Fx7N69O/WnP/2ppDMN+X5CceUkL9F6IZ/RcjDzkFa8Yt8FYWtra138cehnLYQoFZpp6CCDBw92o0RG6DU1NUGvXr3caJIRJ/YFCxaEIduPpQGM4tkcw5URLLukp0yZUpRROyPZFy9euONDpFGMvOfCLxP1RV1RDjbwsKmN8uFv9kI5ceJE0Lt378wo3UgLaJeW1WEp0vbxywkTJ04Mnjx54o5R2TtjlsDPJ23p2bNnQZ8+fUKfbHhPMHToUHcVQohyIaWhA9D5I1jo8Pv27euOQKVH6plO/dy5c8Hr16+dcMAgmBBWUZNPOPtpAMImPcIMDh8+HOzZs8dNdZ8/f97db28aBjt0e/bs6XZmkwZT+whfo6PxG9EyjRw50n0cxXZ7z5kzxyku1GN9fX1w8+ZN558U8vn8+fO3llbw551g0gqzq8tip+0TLSdgP3bsmLNzFMvais+pU6eCGTNmOPuwYcPc1Yf3FI1XCCHKgZSGdsJo8Pjx48HSpUtDn9bOHAHKCJG1Z79zxyDcEVZRs2/fvjCGbOLSAEaYjGA5YxsVSIWmEYWzuwhSDGvyt2/fDu8UJ/5cZTpy5IgTkHwcha+7cSSptrY2OH36dDB79mwXxldaGL2vX7/eXXHjz31A4Rk1apSz+5D/tWvXuvR9kqRdKLnKCeSDGQyUEuqbsAb+ixYtcuWK23NCGTk+F3f2WwghSo2UhnbCdya++eabjNCmM0fIjBkzxglzBAEjVj77afcLHaVH0/D5/fffM2d3jfakESXfyLoY8ceVibr65ZdfnCDETh5YdmGJAH82CwLPmNLy8uXLYMOGDe6K22ZbgBkYlAby9d133wWff/55ZpkBZYj4WKaApGnngrRJJ0pcOUmTeA0Uyy+//NItRQD3aD9WPhQXNqT6tLU0QV54XgghSoGUhnaAAEKYsCRBR48woDOvqqrKjCyvXbvmvkpnAsUXeFETN0qPS8NobGx0Agclhd31JnQKTSMKgvPnn3926fnC1Oho/LnKRF0NHz7cCXSrN8KgFOEfJ5TzQV4sX3V1dUFTU5N7L5xkoFwIYpYoUIKKnTbkKid7Jvbv3+/SBe7dunXLzUyxJEH6/tftovDctm3btDQhhOg80h2rKAB2vlNtZuwsPrvc/Z3uhFu8eHHqzp07oU9ycqVh5/uxsyOfnfkNDQ3hU4XBLn6L39/N7/u399RBXNy5ymT3LK36+vosf9zRkwWAX1unJ8Dipr6qq6szaVt67Uk7DuIFnosrJ+mnlQfXHnhv3OOKm3aDm/wRjvA85z/v+2HiTlXgL4QQpaQbf9KdjRBCCCFEXrQ8IYQQQohESGkQQgghRCKkNAghhBAiEVIahBBCCJEIKQ1CCCGESISUBiGEEEIkQkqDEEIIIRIhpUEIIYQQiZDSIIQQQohESGkQQgghRCKkNAghhBAiEVIahBBCCJEIKQ1CCCGESISUBiGEEEIkQkqDEEIIIRIhpUEIIYQQiSiZ0jBkyJCgW7duWcZYvny5cz948CDjFkJ0TegLpk+fHrqysb7h8uXLoU/gwlrfEEe0PzGsXzl06JBzEw/uzZs3O3elQt345aJurA6i9RS9Z27eQVfD3ndUflBPnVFeq3feV753ZO0ymu98eaZMcc+AyVr/fWP83xQQztpQRyiZ0jB16tQglUoFNTU17rpp0ybnbz9g/KqrqzMVRUUWo0BCiHeLs2fPhrZs+L3TD2DGjRuX8fv73//u7IbfUdJ/NDc3O+P7W8dMXOvWrXMdJlfca9ascfcqFerG+k84evSoK9fBgweDLVu2hL6tXL16NVOn9K/cv3//frBx48aKV558eN8TJkxw5aR9+YL50aNHrsy+X6mJtmXqHTvt1H9HtEvei+XbiCoD5N1/X3v37nXPgK8MkC7vlvISR0tLSybdK1euhKFan0HWXrp0KfRpPyVTGrZv3x7aWlm9erWriF27dgU7duzIGnngvnfvXjBgwIDQRwjR1aEjjI6I6NSmTZsWut7mwoULrlPG+EIBYYkQgSVLlrirKSLLli0rqwApNfSlMHfu3LfKhaJko07gipAiLHXXVbAyAe8bYenDO6dNlItoW7b6j7bTfv36ZdwMrIFnrO3GYe8Q5s+fn6UM8HsZO3Zs5r61+cePHwezZs1yduAZZLKvqNgMhQ3ck1LWPQ28RF6waUxUBsoCL5irFVgI0fU5c+aM6wvGjx/v3IyU/MEGHRqGQUVbnRujy3yDDutUuxL0n5MmTQpdrdCPMuo0gfQ+8PDhw4zsQAAjLBHCxRhVJyXalsFXFgzaIe+M9rxy5Urnd+DAgYwCRP65xww9M2TYV6xYEQwaNMjdj+IrFAYzFPPmzXMzUsbAgQMz4SxfJntpL4VQ9o2QZB6oONMOo7MSQoj3B6bZ//a3v2WUA5YnbHkTQ8fGlU4ul/C3fgUQIozogE6Y0VlXBKFgsw4+1BGDM1+gxAmXrgDl8kfpjKgRuAjNXMtipYS2TJv76quvXD5oz1HFDmx5jeUFa/cIbxQI2jp2lqSwb926NXyqdQbBb+tx75Q2wfP+zBL1YWnYDAyz/dRdvpm9OMqqNDCNwjQO+NqhEOL9hVmC2trajJJAJ0aHTyeH8WcaGHHRKWP8DpO+hQ4XeJZ7CBTWe7tiP8No0hcecfgKA4Ii12i1kkG5tFG6Ye0IKHs5oS3T3sgTeUDh9RU72i0QhvdDu7X8omSg4NLW/ZkG9kSYAsDsiT+jhtBH8YiWk7jt/XMfZYE0UGr8GZho3SUiHVHJSP/4eXOpdAWEPqlUuhKdX1qLCn2EEF0Zfv/2m093Xq4PAPzi+gL6DcLlwp6DdCfoDFjfYn4WzvwqlfSoNFMO6sX6Vd+PsnM1Pyuv+fl9cFfArxMMbcjaGfh1QdhS4+cD7B3Ze7A2CZZPwvjke0c8yzP227H3DRYfbtLHjgF7zvJlvxHStucwFm8SuvEn/ZAQooMwKujsn9O7kAchRNel7HsaKp1Xr14FU6ZMcZ1zr169ghs3boR3SsOCBQuCEydOhK7iwTpZtAzFLFuSuIpVNtKIw8qI8dcFSwFpxAnrXGVkypB6wezevdvVT9zGLerxz3/+s7ua2+o1akiLPGAXQohSIKWhQOjsv/32W9c5f/bZZ8GqVasyHXqxQZCcPHkydBUP4u3Zs6crw7/+678G27Ztc/7FLFtbcZWqbMbTp0+Dw4cPB9evX3eGo75xikspyVVG/BsaGoKffvop+O2334LRo0e7tcUePXqEId6wc+dOtwGwe/fuzn337t3MeilrnXYenDIuXLjQhRFCiFIhpaFAFi1aFIwcOdLZv/766+DFixfBy5cvnbvYIAg+/fTT0FU8yD/lgGHDhgUff/yxsxezbG3FVaqyGc+ePXPXPn36OIOSVCoY2SO4o+Qq45MnT4Lhw4cHQ4cOdW7qic1S5jaYeaAc9n7A3h0KGJvbbGc2/raLnLxotkEIUQqkNHSQwYMHuxEiI9uamprMVLxNPzNl3B6Y0u7du3dmhGnYlDtXBAdHq5iubs+MAM88f/7cnQOOw8pWDPy44spGnVFflIXjSOwqpoz4m92HOjAT50YAf/jhh8HatWuDa9euBXPmzMkoMcCSAOkR3tIpJP22yPX+YOLEiU5xoN7tvTFL4IelPaEwoPDEwYwDRBUNIYQoJVIaOgAdPwKFzr5v377u3PTkyZMzHfq5c+eC169fO8GAybcW7WPCfObMmaHPGxA0jGCZet+zZ4+b5j5//rzLQyFpIJRGjBjhRq1xAtEvm1FI/D5+XLnKhkDnOK4dE0LI88EU6rK+vj64efOm8zcYTZuJc5PW999/7444HTlyJEsxIg+8GwzhuVdo+vnI9/6AvB07dszZmSmw9uJz6tSpYMaMGc7ObFAUjmBF348QQpQaKQ3tBKF7/PjxYOnSpaFPa0eOAGV0yLqz37FjEO6+cDOzb9++MIZWUApGjRoVut6G0SUjd6ajfaFRSBooOffv33dr4nxci/IYcWWDQuI3onHlKxvCHQHJV9X48BdnmTm/f/r06WD27NlhqOSwnwBFAKUFZQdhDpSDGQjy5VOs9Nt6f0AeUNZQSPjIil//+KPMMTNjX43zoRz+0oQQQpSNdIcv2sG///u/p9KCJXSlUi9fvkxNnjw5lRbCzs29tKDKhLH7VHnU1NXVuTAG7mgYixeiaRmFpGFE8wnRshntiT8aV66yEWbMmDGptMDNyhNu/OPyYxBHFJ5LC3yXZ8t3U1NTeLcV3I2Njc7ekfTBz0O+90d6xOmTVhwyflwvXrzo7OSbMkTD47ayxeHnRQghiolmGtoBI0F2vDNaZ82b9XGmmKuqqjIjatbR+ZQtMw9QyCgdt91LC6AgLdyyptfTgsfNZDACZme9bfprz0yA5ZOyQFzZjELjj4srV9nIB5sDWSbw88RsDf5Wj3EQVxy//vqr23yJwQ6M0jnJwci+f//+bokCv46kHyXf+2O/xP79+zOzHtTLrVu33OwUSxKk7X8WNwrPcdpFSxNCiE4h3bGJAoiOItOKghv5MZL0R/6EW7x4cerOnTuhT/sgHhsh83UvS89Gxg0NDe5eIZBPyz/xG7nK1h6SxOWXzbf7I2/8cecaVefDL6e9G+qturo6k6dipk+cUfx4STutOLk2wbsjPFfcllfyZjMc5M/yidv3w/jtzcBfCCFKhb4IKYQQQohEaHlCCCGEEImQ0iCEEEKIREhpEEIIIUQipDQIIYQQIhFSGoQQQgiRCCkNQgghhEiElAYhhBBCJEJKgxBCCCESIaVBCCGEEImQ0iCEEEKIREhpEEIIIUQipDQIIYQQIhFSGoQQQgiRCCkNQgghhEiElAYhhBBCJEJKgxBCCCESUXKlYfr06UG3bt2yzIMHD4Lly5c7O1chRNdlyJAhrh+I4vcNhw4dCn0D544Lb9gzUaxPsbg2b97s3PQ3lczly5ezykV5rA6iZYveMzfvoKuRS4ZQT51RXntPtDurd+w+/vshPCSRhZQpVxjKyj3iBvtdRdMmnP87ay8lVxqqq6uDVCoVTJs2Lbh//35w8ODB4H//7/8dDBo0yPlbwxZCdE3Onj0b2rJZt26d6wOam5uDAQMGOD86NtxnzpxxbvA7SjpC7mN8f+tDiI94YfXq1a7fqXTGjRsXbNq0KXQFwdGjR1056Uu3bNkS+rZy9epVdw9D38t9+t2NGze+JUQqGd73hAkTXDlpX74MefTokStzOeUKaY0fP97lh3ZH3fN+orS0tLgwtN8rV67kLAdX/33t3bvXhQFTNgAlgHdLefk9cO+rr75yYXft2hWGan2G39alS5dCn/ZTcqVh+/btoa2VuXPnBk+fPg0GDhzo3BSQhi6EeL9AGAKdJ3brJOl8c42ILly44MJifKFAH0LnC0uWLMnqWLsaCCWgL/XrAFCY/FEnVwQYYam7roKVCXjfCGOfZcuWlVWuILBramqy6j4Oa/OPHz8OZs2a1WY5wN4hzJ8/3/1eDJSAsWPHZu5zzxRw/3eAP7LYV+BthoJrIXTKngYKVQyNRwhR+dgAAqFGp8aoiZEVHRpmx44dbXZujC6ts3xfQJhMmjQpdLVy7949V39Tp04Nfbo+Dx8+zAhjhCTCGAWy3DKGtsvsAjNB+UA5njdv3lvhKAfQ1lFA1qxZ4+wrVqxwM/Nx+AoF8FvylQoDfwtnSg1tBeWK9lIInaI08IKpYCqEyjNNSwjxfhEdldGxWefGFCuGjo0rnZzfQfqY4gF0vv369QtdXReEjs06+FBHjDJ9gRIVLl0FymUzTIDAROAiV/xRdTmgfhn1m/DPBe8MQe3P/Fg5kI20de6zJIV969atYajWGQq/rUffKbLUlA2WJ0yZoj7wI16bgWHvA2kWuoTXKUoDmEbsr9UJId4v6MDoaIFRsy1L0BnSyWH8mQZGXIwmMX6HSRwHDhxwdoRFVxSQPoxWfeERh9UBAol6zjVarWSYUYkOOk3ZBMpeLkiL5QVfickF78Zvo1YO2jVt3Z9pYF+KKRjMnvgzaqTFb8YvJ2VnzwR7HYD7yFr8mQnxZ2DaNWBPR1Ry0iMF3qAzkC6Qs6crxrmF6Chlaso56ez032X4nVM/6QFCKt15uf7AwM+HcBjC5cLCQLoTdAasnzE3ceOu9H7G+ksM9ZIeGWbc5kfZuZqf1YH5dbW+1q8TDO/a2hn4dUHYUhOVadH0rZ1am8RAXDni4Fnu22/H3jdYuXFbONoImNvitd8I9+05jMWbBPV0BfLy5cvU5MmTXUVXVVWlrl+/Ht4pHuVII629purq6kLXG/y0m5qaQt/CicZfyjIRp5EkHX5I3MM0Nja6MBcvXgzvvoG4NmzY4K7mtrijhrJy7QjE0ZE6F0KIUtNpyxOVClM93377LdIh+Oyzz4JVq1YFr169Cu8Wh1KnwRrZypUrQ9cbONUyYsSIoH///i7tmTNnhncKIy7+ctQbtJXOjRs3goaGhuCnn34Kfvvtt2D06NFuiq5Hjx5hiDfs3LnTLaN1797due/evevCEjdThhjsaaUjWLhwoQvTXsjXyZMnQ5cQQryjpDs90U4YoY4ZMybV0tIS+hSfUqWRayYA/2IQjd+nmGXK14Tj0mEkH83X7t27M7MJBjMPacUntj4IW1tb6+KPEpcfwvszFnGQhz/96U+aaRBCvNNopqGDDB482I1SGaXX1NQEvXr1cqNGRrzYFyxYEIZsP5YGMIpncwxXRtDskp4yZUqHR+2Mol+8eOE+qkP8xch3PqxM1BX1RBmam5vdhjbKhr/ZO4JfdzBx4sTgyZMn7hiT1RmzBDabALzLZ8+eBX369Al9sqGuYOjQoe7aUU6cOBH07t07Kw9GWplw9WPvvNT1JYQQ+ZDS0AEQPnTUdPZ9+/Z1R6DSo/WMUDl37lzw+vVrJ5wwdPR0/lGTT0D7aQDCLj3CDQ4fPhzs2bPHTbWfP3/e3W9vGsDu3J49e7pd2cTPVDnCzOhI3FH8Mo0cOdKdybedxHPmzHGKC3VYX18f3Lx50/m3h2jdAfZjx445O7v17V35nDp1KpgxY4azDxs2zF19qKtovO2Fen3+/HnsUhD3aEOYtILv3n0p60sIIdpCSkM7YTR6/PjxYOnSpaFPqzBBiDJCZe3bFy4YhDudf9Ts27cvjCGbuDSAES4jaI7bRAVioWn4cG4XoYRhP8Dt27fDOx2P24gr05EjR5xw5kuAHFnibHFtbW1w+vTpYPbs2WGowshVd0BZGJEjZCkzYQ38Fy1a5GYn4vZ9IMg5vhb9qE4UX8kirvXr17srbvy5Dyhoo0aNcvYo5HPt2rWuHD6lqC8hhEiClIZ2woczvvnmm4zQRgjQaY8ZM8YJcwQRI0A++2n3Cx2pR9Pw+f333zNnd432pOGTb5Ta0biNaJmop19++cUJYezkgSUXptvxZ6NiPlBayEOUuLpjqp94DRS7L7/80i1FAPd4f8T58uVLJ4jZFOqTb2mCfPAskK4pWcS1YcMGd8VtM0PAbBFKA89+9913weeff561xIACRx2Qd+hofQkhREeQ0tAO6NTpnFmSoLOmQ0eYVFVVZUa2165dc1+lM4HmC5GoiRupx6VhNDY2OoGHksLufhN6habhgxD6+eefXVq+YDI6ErcRVybqafjw4U44Wp1xH4UI/ziFoC1y1R17APbv358Z5XPv1q1bbmaIJQnSz/dhFp7btm1b0ZYmgLqzeqyrqwuampoy+y04+cG7QHFhiQK/UtSXEEIkJt1ZiQJg5z3VZsa+BcAue3+nPeEWL16cunPnTuiTnFxp2PcFsHMigJMBDQ0N4VPJYYe+xe2fJPD9O7KLPy7+XGXC39Kqr6/PnEjAH3e+Ewc+xAm50qG+0sqDex/UG/e44ua94a6urnbhCM9z/vO+HyZ6qgK/XFCGtk5PgF8X5IP8WB7Mv1j1JYQQ7aEbf9IdkxBCCCFEXrQ8IYQQQohESGkQQgghRCKkNAghhBAiEVIahBBCCJEIKQ1CCCGESISUBiGEEEIkQkqDEEIIIRIhpUEIIYQQiZDSIIQQQohESGkQQgghRCKkNAghhBAiEVIahBBCCJEIKQ1CCCGESISUBiGEEEIkQkqDEEIIIRIhpUEIIYQQiSiZ0jBkyJCgW7duWQamT5/u7Js3b3ZuWL58eWgTQnQ16Av43cdx+fLlTH+Asb4iX59gYaLwDP6HDh1y7ri+phKxOrJyPXjwIFMH2H2i98zNO+hq2PuOthXqqTPK67dlq/e4toc/hvCQqxw+lClXmKi/hY3WAW5rQx2hZErD1KlTg1QqFdTU1Ljrpk2bXCV99dVXzr1r1y4XzgrGD7wYBRJCvFucPXs2tGVDxzp+/HjXH6xevTr45JNPnB0zaNCgMFT2oIJOuLm52Rnfn7iAZ9etW+f6Gq6416xZ4+5VKuPGjXP9p3H06FFXroMHDwZbtmwJfVu5evVqpg6rq6vd/fv37wcbN26seOXJh/c9YcIEV07al71/ePTokSuz71dqom2Zuuf9ROEdEIb2yzvJVQ6u/vvau3evCwOmbBjEFYWw9+7dC12tzyBrL126FPq0n5IpDdu3bw9trVCRV65cCQYMGODcS5YsyRR+x44droB2TwjR9UHoM6hgVEQniXAE+gUUiDguXLjgwmGsgwWEJZ0v0LeAxbds2bKssJUOfSnMnTv3rXKhKFl9AlcEGGGpu66ClQl43y0tLc5u8M5pE+Ui2pZzYe/O2mZb5QB7hzB//nwnR3NB2Hnz5r01y8AzyGRfgSdM3IxEW5R1T8PAgQPfKjDKAi+Yq1WkEOL9gE6MERmjZ+Px48euL6BDwzCoaKtzY3SZb9BhnW5XAgExadKk0NUK/SijbGZ63xcePnyYkR0onLNmzXIKZDFG1YUQ15bzEW2TlANo6yggzJBhX7FiRdbMWz6Ik1kGZjH8mThkr6VnSo3JXtpLIZRVaUCjsopgecJedHRWQgjxfkBHNnbs2EyHCSgAQOeHoWOz6dZcwp9O0SCufv36OTtChNFZVwThZCNXH+qIUas/QvXtXQnKZTNMwKAUgcto2x9Vl4O4tpwLlh58uWflQCbS1hHkLElh37p1axiqVaH223oubPbCoD6Qu8RrMzBsCSDNadOmOXdSyqo0AJVg6zlCiPcbOkumZK3jx22dIp0cxp9pYMSFIoDxhSCd9YEDB5wdYcE94qKf6YozmAidtoSHrzAgKJKOVisJZlSiAhIZgwHKXi6ibTkXcXv3rBy0a9q6P9PAvhRbWmL2JOkyvr1v0kNZoE6YCfFnYKJ1l4h0RCUjrcHw5lLpCnDudIadG/9K5+XLl6nJkye78lRVVaWuX78e3ikNdXV1qaamptBVXNKN8q1yFKt8SeLpSNnSP9LUlClT3NUnLk7aH3nANDY2urxcvHgxvPsG8rxhwwZ3NbeVIWpIJx+EicPqHIO9K8Pvn3KmR06pdOeVWrZsmfNPDx6cv/UPQJi2sHoD3ikGiBd/87Nw5lepWD1hqD/rV30/ys7V/Ky85ufXcVfArxMM7cbaGfh1QdhSE23L0fStTVobNXP48OEsd672b+3Zfjv2vsGetTTMzX1zW7yWPm3I6gtj8SahpEpDV8aEDiA4EComZIoN6SDoSqE0EDdlAYSXCcFila+teDpSNhSFMWPGZOI34uLEj7B37tzJuD/66KO3ngW/HoAwfh2ZkP/hhx9S/9//9/+9pbD48IOM4uc7Xz6EEOJdo+zLE12FRYsWBSNHjnT2r7/+Onjx4kWQFobOXWzSAiX49NNPQ1dxoQyUBYYNGxZ8/PHHzl6s8rUVT0fKtnbt2mD9+vWZ+I24OJ88eRIMHz48GDp0qHPzDOvB5jaYunv27FmmHsDq6NWrV26a1zaf/fGPfwz++te/unwUAvFDnz59nOnZs6dzCyHEu46UhiIxePDgoEePHsHTp0/delSvXr2CGzduuPUk7AsWLAhDFsaJEyeC3r17B927dw99WmFzDOtdXBFmbHyaMmWKs7cHnnv+/LnbqRuHla+j+PHkKhv1Rp1RnubmZrdeTTnx9+2vX78OJk6cGD7VSq44CYfiQPmsjhYuXJgVjneHQEeQx3H37l139RUN4iUf5MfgvZiJc/P8hx9+6JSNa9euBXPmzMlSfHbv3u3KT3gra1v1IYQQ5UBKQxFAGNF5I4D69u3rdjVPnjw5I2TOnTvnBAvCCkPn7wsSM1HFwgT5zJkzQ583IPwYUR8+fDjYs2dP0NDQEJw/f97loZA0AGE5YsQIN5qOE0B++YxC0wA/nnxlQ4DyMRPbyIVQPXPmjKvP+vr64ObNm25j0AcffPBWnnLFSbhjx445OzMF9m58Tp06FcyYMcPZmXWJQprResBOPiibkWpd9nMmzs0z33//vdv0dOTIkSxFjTLQXjCE516S+hBCiHIgpaGDIHCPHz8eLF26NPRpFS4IT0as7E71hQ0G4e4LEjP79u0LY2gFpWDUqFGh620YsTJyZ7duVJAlTQNQdO7fv+926XIMiDIZceWDQtOIxtNW2RCmCG6+stbS0uJ2wNfW1ganT58OZs+e7cL4SwjQVpzkGaUIQctxI7+c+KM0MQuycuXK0PcNCHN/acKHfNy+fTt0JePkyZNOEUDZQPkifiCPzEBQVz5J6kMIIUqNlIYOwvcmvvnmm4zQpvOnIx8zZowT5ggmRoV2Vpz7SUfozCAgBLn33XffBZ9//vlbMwG///575jiOUUgaPuTRP8YG0fIZhaYRjSdf2aizX375xQlo7IykWX5hOh7/0aNHu3BRcsXJdL+/fIAi9+WXX2b2FnCP94XCw34LhHH//v3dPSNuaaK9kB4zCcwg2OzHP/7xD3cF/Ckj+Yb21ocQQhQbKQ0dAIFEh81InQ6cTh7hUlVVlRlRs2bNh2YQZIDQTDpCx2336urqgqampqyp7MbGRicAUVL48I0JwULS8LG8Uh6IK59RSBpx8eQrG/lg0yLC088TyhH+VpfRaflccbIPYP/+/ZnRPHm4deuWmwliSYI08p2t5rlt27a9tTRhkI+45QwgL3H8+uuvTkHBYAfSWbVqlVMMUFpQLPBLWh9CCFFy0p2aaAccyaP6zHDE7/r161lH8oBwixcvzhz1ay/EY0cIOXtr6dnxvYaGBnevUMirlYE0jFzlK5Qk8fhlA99dX1+fCY8/7rSgdX61tbU5j4FaHNRPWklx9U89kQeuuK3s1dXVLhxxkj8/n74fxn+3QPrkw/KYFL/eLU7yQF4sfauDJPUhhBDloBt/0p2UEBUHyyCs58dtfCwXnNZgv0G+GRwhhOgqSGkQFQvT+F988UWwc+dON3VfbljmYBnqxx9/zCzpCCFEV0Z7GkTFYuv6/G8CFIhyQnp8HEoKgxDifUIzDUIIIYRIhGYahBBCCJEIKQ1CCCGESISUBiGEEEIkQkqDEEIIIRIhpUEIIYQQiZDSIIQQQohESGkQQgghRCKkNAghhBAiEVIahBBCCJEIKQ1CCCGESISUBiGEEEIkQkqDEEIIIRIhpUEIIYQQiZDSIIQQQohElExpGDJkSNCtW7csA9OnT3f3jM2bN7t7vp8QouvAb5vffRyXL192v3/6gaR9gd+f+Cxfvtz5Hzp0yLlJ0+KuZKyOrFwPHjzI1AF2n+g9c3fF/tXeN1cf6qkzymv1zvvK9Y58f8IB+cWdL88WJlpWiPpHfwcG8Uf92kPJlIapU6cGqVQqqKmpcddNmzY5/zNnzrirsWvXLnef8FaJQoiuw9mzZ0NbNnSg48ePd7//1atXB5988kmmL/A7Wr9DRAFobm52xve38Dy/bt0615dwxb1mzRp3r1IZN25cpv+Eo0ePunIdPHgw2LJlS+jbytWrV909THV1tbt///79YOPGjRWvPPnwvidMmODKSfvy28ujR49cmX2/UoMwtnrnfVHv2Gmn/jtqaWnJ+F+5csX5Xbp0yfktWbIkI9TJu/++9u7d68JAVE4SlxH9HRg8g9JAWh2lZErD9u3bQ1srdAptQWULId4PEPoMKhgV0dnZ73/QoEFO4MVx4cIFFw7jCwWEJUIE6HzB4lu2bFlZBUipsb507ty5b5ULQWH1CVypS8JSd10FKxPwvhHGPrxz2kS5QKhT7ybQrf6j7dTa5OPHj4NZs2Zl3cMdJ9TtHcL8+fMzykYc0d+B5YdnkMm+Ao8SQZ4LnZXp9D0NVtlWUCHE+wOdGCNmRs9AB8bMAB0l/QJmx44dbXZujC4HDBgQut4mlxJSyVBHkyZNCl2t3Lt3z42yma15X3j48GFGGCMkEb7Ik2KMqpPCDDqje2bODF8h8GEGYd68ea7N0y59Qf706VPX1lGm+R1gX7FihVOkk5DrdzBw4MDMb8DyRVtBuaK9FEKnKw1oQFQ2lSiEeL+gIxs7dqzr+IGOjKl4f5qdjo0r93IJfzpFg7j69evn7AgRRmddEYRO3AwudcQo0x+h+vauBOXyB5zIEwQu8iTXslgpQQGmzX311VeZWbSoYsc7Q1DbzA8KnikKKAi0de7zO8C+detWFw6YofDbepRcvwPqgzSI12Zg2PND3U2bNs25k9LpSoNVHJVdjE0aQojKgU6fqWW/46fjY7REJ4fxZxoYcdEpY3whiOJx4MABZ0dYcI+4Wcu3UWhXgtFqPuEBvsKAoEg6Wq0kELi2TGGYsgmUvZww0qe9kSfygMKbS7Gz98OygYUFUyBspoE9ESYnmT3JN6MW9ztArqIskAZy1p+BidZdItIRlYy0BsObS6UrIPR545euIOfmirvEWRFCdBL8/vl9p0dOqXTnlfntNzc3Z/UPFs7u58LvL9KdoDNgfYn5WTjzq1SsnjDUn/Whvh9l52p+Vl7z8/vgroBfJxjalrUf8OuCsKXGzwfYO7L3YG2S+xbWMDd5zgXPEsZ+G/a+wZ63tOJ+B5Yvu0f+rL4wFm8SJKk7wMuXL1OTJ092lV5VVZW6fv16eKd4lCMNSGuzqbq6utD1Bj/9pqam0LcwonEXq0zpEWpqypQpqTt37rQZHz8e7mEaGxtdmIsXL4Z330DeNmzY4K7mtrijJq6+CoU42luvQghRbjp9eaKSYdrn22+/RfEKPvvss2DVqlXBq1evwrvFoRxpsGa2cuXK0PUGNuWMGDEi6N+/v0t/5syZ4Z3kxMVdjDKRty+++MJN06aFf974bty4ETQ0NAQ//fRT8NtvvwWjR49203I9evQIQ7xh586dbu28e/fuzn337t3MVCPThBjsP/zwQ5BWPFw+2gv5OnnyZOgSQogKIN0BiiLAyHXMmDFu9FsqSplGrtkA/DtKNG6f9pYp1wg9Lj7CRdPfvXt3ZjbBYOYhreDElpmwtbW1Ln4jLl6D8P6MRRzk4U9/+pNmGoQQFYNmGorI4MGD3eiV0WdNTU3Qq1cvN5pkZI19wYIFYcj2Y2kAo3g2ynBlZM2O6SlTphRlJoIR9osXL9xRItIoRt5z4ZeJ+qKuKAcfLWFjD+XD37e/fv06mDhxonsmih8fEO7JkyduZ7LVzcKFCzOzCcA7e/bsWdCnT5/QJxvqA4YOHequQLzkg/wUyokTJ4LevXtn5cFIKxOuDuzdJqkTIYQoB1IaigRCiQ4cIdC3b193HCo9Us8Im3PnzjkBg9DCIAAQClGTTzj7aQBCMD3yDQ4fPhzs2bPHTcGfP3/e3W9vGga7dXv27Omm/0mDaXQEndHR+I1omUaOHOm+3WE7i+fMmeMUF+qxvr4+uHnzpsvbBx98ECtwo/EB9mPHjjk7x5/snficOnUqmDFjhrMPGzbMXX1IMy5e8kGahUDdPX/+PHa5h3u0FUxaqXfvOEmdCCFEOZDSUAQYpR4/fjxYunRp6NMqZBCgjFxZE/eFDgbhjlCImn379oUxZBOXBjDyZWTNkbWoQCs0jSic40VgYdgrcPv27fBOceLPVaYjR444wc2HUlpaWtwRptra2uD06dPB7NmzXZiPP/7YXX1yxQfklxE5QpZyEdbAf9GiRW52Im5vB4KcI2vR89ZAPqxefEWKuNavX++uuPHnPqCEjRo1ytmjkM+1a9e6cvgkqRMhhCg1UhqKAP8/45tvvskIbYQDnfmYMWOcMEdAMTK0j8z4wiVqco3So2n4/P77704p8WlPGlHyjWCLEX9cmairX375xQlo7OSBZRem4vFnE2Mu4uJjqt9fPkCB+/LLL91SBHCP94Sy8/LlSyeI2fjpE7c0EQfpmiJFXBs2bHBX3DYDBMwKoTRQV999913w+eefZy0xoKRRTvIOHakTIYQoJlIaOgidPZ02SxJ04nT0CJmqqqrMiPfatWvuy1wICfCFS9TEjdLj0jAaGxudIERJYde/CcNC04iCgPr5559der7QMjoaf64yUVfDhw93gtPqjTAoRfhbHUYVmlzxsQdg//79mVE+927duuVmgFiSIA3/w0JReG7btm1vLU0Y5CNuOSMf1I/VVV1dXdDU1JTZb8HJD+obxYUlCvyS1okQQpScdMcl2gk756lCM/aNAHbf+zvwCbd48WL3PYFCyZWGfXcAOycFODHQ0NAQPlUY7N63+P3TAL5/e3f4x8Wdq0x2z9Kqr6/P8sfNaQT8OMlgJxNyxUe9pJUHV+/UD/e44ub94K6urnbhCM9z/vO+HyZ6qoL0oycqDO61dXoC/PKSD/JjeTD/JHUihBDloBt/0p2UEBUFSyCs5bfn2xHFgo2h7DVIuodDCCEqHSkNoiJhCp+PO/ExJqbtyw3LHCw//fjjj26pQAgh3ge0p0FUJLamzz8zQoEoJ6THP6GRwiCEeN/QTIMQQgghEqGZBiGEEEIkQkqDEEIIIRIhpUEIIYQQiZDSIIQQQohESGkQQgghRCKkNAghhBAiEVIahBBCCJEIKQ1CCCGESISUBiGEEEIkQkqDEEIIIRIhpUEIIYQQiZDSIIQQQohESGkQQgghRCKkNAghhBAiEVIahBAlZciQIcH06dND1xvw69atmzOHDh0KfVv9Hzx4ELrexp6Jsnz58qy4LP7Nmzc7d6Vy+fLlrHJRN1YH0XqK3jM376CrYe+bqw/11BnltXrnfeV7R+QPf8ujuXkuFxYmWlYgHj+dXO2ecNaGOoKUBiFESTl79mxoy2bdunVBKpUKmpubgwEDBjg/OrW///3vzm74HSUdIeExvr91mMRHvHTAFv+aNWvcvUpl3LhxwaZNm0JXEBw9etSV6+DBg8GWLVtC31auXr3q7mGqq6vd/fv37wcbN26seOXJh/c9YcIEV07aly+YHz165MocFdalhHZr9c77ot6x006j7wi4d+/ePWefO3dusGzZMmc3yLv/vvbu3eueAV+5IF3eLeXl98C9r776yoXdtWtXGKr1GZSGS5cuhT7tR0qDEKJToHOFK1euZOx0atOmTXP2OC5cuODCYnyhgLBEiMCSJUvc1eKkQy6nACk1q1evdleETbRcKEr+qJMrygNhqbuugpUJeN8tLS3ObvDOaRPlAqHuzxZY/UfbKfZ58+YVNBNi7xDmz5/vfi8Gv5exY8dm7nPPFHDqxfKD//bt27MUeJuhKCQvIKVBCNGpDBw40F0ZKdGxGXRomB07drTZuTG6tM4yDutUuxIIk0mTJoWuVhi9MuqcOnVq6NP1efjwYUZBREjOmjXLKZDFGFUn5cyZM250P378+NDnjeLgQzskHLMDcUsN5J+2XlNT42bIsK9YsSIYNGhQGCIbX6EAfku+UmHgb+EsX7QVlCvaSyFIaRBCdBrWgXE15YDlCYQenSuGjo0rnVwu4W+KByBE+vXr5+x0wozOuiIsU9isgw91xCjTFyhR4dJVoFw2wwQITAQuo/lcy2KlhCUj2hxLBOSD9hxV7MBmSaKg/NDWEeQsSWHfunVreDcIHj9+nNXWo++UeE3ZYHnClCnqAz/itRkY9j5Qd/lm9uKQ0iCE6DTowGx61ZQEOjE6fDo5jD/TwIiLThnjd5jEceDAAWfnWe4hUBjRWcfZlWC92xcecVj9UA/Uc67RaiWDchkVwNaOgLKXE2a8aG/kiTyg8MYpdhD3PuJmGtgTYUtLzJ74M2oIffY1+OUkXfZS0PaB+ygL+KPU+DMwuZSXvKQjEgXw8uXL1OTJk2mRqaqqqtT169fDO6Wjrq4u1dTUFLqKT7pRvlWeYpYzSVwdLWNLS0tqypQp7mrkijP9w3H5wDQ2Nrr8XLx4Mbz7BvK9YcMGdzW3lSNqhg8fngmXC8Llwt4BBntXIt0BunKlR06pdOeVSnek4Z2U84uSVhpcuFxYPQHvEgPEi7/5WTjzq1TSAiBTDuqF+vHLZnXK1fysvObHO+hK+HWCoR1ZOwO/Lghbavx8gL0jew/WJjEWljzaPfPLhYWx3469b7By47ZwpA/mtnzZb4T79hzG4k2ClIYCMSEDCCWESFvCoiOQFsKtVEoD8VMmQFhRJihmOduKq6NlRFEYM2ZMJg3IFSf+hL1z507G/dFHH2U9a/j1AYTx68qEO/7/83/+Txevr7RE4ccZh5//fPkRQojOpujLEzalaMY2L3FlDcVgEwj3fT+mUZieeZdZtGhRMHLkSGf/+uuvgxcvXgRpAejcpSAtPIJPP/00dBUfykKZYNiwYcHHH3/s7MUsZ1txdbSMa9euDdavX59JA3LF+eTJk2D48OHB0KFDnZtnmD40t8EU3rNnzzL1AVZXr169ctO9tlaJ/z//8z+7PJCXQiEd6NOnjzM9e/Z0biGEeNcoutKwLNy0VFNT4652/MnflML6C4b75kaJoKPOtav0XWXw4MFBjx49nP3p06eu3L169Qpu3LjhlCDsCxYscPcL5cSJE0Hv3r2D7t27hz6tsDEGhYsrAow6njJlirO3F559/vy526kbh1/OjuLHlauM1B91R7lYn2PNmvLib3YL9/r162DixInODbniBMKhOFBOq6+FCxdmheU9IsgR4HHcvXvXXaOKBnGTF/Jk+Ap0nBuI58MPP3QKx7Vr14I5c+ZkFKDdu3e7eiC8lT9JvQghRCkoutLgH5mCXLt77cMW2G3DDhue8K+UDTsIHzpqEzh9+/Z1O5onT56cESznzp1zggQBhaGz9wWHmahiYUJ85syZoc8bEHiMpA8fPhzs2bMnaGhoCM6fP5/JRyHpAEJyxIgRbhQdJ3Si5YRC0zD8uPKVEaHJ2WdrGwhSjjVRr/X19cHNmzedPxuEPvjgg6yy54oTCHfs2DFnZ6bA3pPPqVOnghkzZjg7sy9RSDNaH4CbvFBGA8XYTJwbeO777793s2xHjhzJKG6UhfaDITz+SetFCCFKQaednmBGAQFjx6FQNg4ePOg6xFy7Td8lELTHjx8Pli5dGvq0gkChXIxS2ZnqCxgMwt0XHGb27dsXxtAKSsGoUaNC19swOmXEzu7ZOOGVNB1A2bl//77bpct7oGxGrnIWmgZE42qrjAhQhDZnn1taWtyu5Nra2uD06dPB7Nmzw1BB1hJCW3ECeUc5QsiyPOaXF3+UJ2ZCVq5cGfq+AUHuL01EIS+3b98OXck5efKka/soHChjpEM+mX2gznyS1osQQhSbTlMa7FOfnGc1ELKVcjyKM7DffPNNlsCmo6fjHjNmjBPmCCNGgaYYcT/p6JwZBIQf97777rvg888/f2sW4Pfff88cxfEpJB0f8mkjWCOunNCeNKJx5SsjdffLL7844YydETTLMEzD4z969GgXLkq+OJnq95cOaG9ffvllZk8B93h3KD7suUAQ9+/f390zci1NdATSZTaBWQSbBfnHP/7hrvhRVvIO7a0XIYQoBp2iNLCHgQ+wIKDo8N71zY9REEJ0zozQ6aytQ0egVFVVZUbSrE/zkRkEGCAsk47Ocdu9urq6oKmpKWu/QWNjoxN6KCks6Zjgg0LS8bH8Ui7IVU4oNI24uPKVkbywYRGh6ecLJQl/q1Pwp+TzxckegP379zuFB8jHrVu33KwQSxKk438oJgrPbdu2LXZpwiAvcUsaQJ5y8euvvzpFBYOdtFatWuUUAxQXlAr8CqkXIYQoOumOrOjY+U87KwrmFz3Hin8lwRE88m2GY33Xw+Nx/jE8IOzixYszx/vaC/HY0UHO3VqadlSvoaHB3WsP5NfKQjpGvnIWSpK4/DKC766vr8+Exx93Wrg6N/61tbWxx0H9OKirtKLi3gV1Rj644rY6SCuxLhxxkkc/r74fxn/PBnkgL5bXQvDfA3byQX4sD1aOpPUihBCloBt/0h2TEBULyyGs5efa/FguOLXBfoN8szlCCFHJSGkQFQ9T+F988UWwc+dON23fGbDUwbLUjz/+mFneEUKIrkanbYQUoljYmj5HdlEgyg1pcuJHCoMQoqujmQYhhBBCJEIzDUIIIYRIhJQGIYQQQiRCSoMQQgghEiGlQQghhBCJkNIghBBCiERIaRBCCCFEIqQ0CCGEECIRUhqEEEIIkQgpDUIIIYRIhJQGIYQQQiRCSoMQQgghEiGlQQghhBCJkNIghBBCiERIaRBCCCFEIqQ0CCFKypAhQ4Lp06eHrmy6devmzOXLl4MHDx5k3NhzYWGiLF++3PkfOnTIuTdv3txmXJUAdeOXK189Re+Zm3fQ1bD3zdWHeuqM8lq9t9WW+S3gT/sE8mvP5cLCRMsKUf/o78CgTqJ+7UFKgxCipJw9eza0ZUMHlkqlnBk3blywZcsWZ29ubnZ2w+8Q6Wi5j/H9rWPm+XXr1jn76tWrg2nTpjl7JUPdbNq0KXQFwdGjR105Dx48mFVPcPXq1UydVldXu/v3798PNm7cmBFSXQHe94QJE1w5aV++YH706JErc1RYl5KkbRnF4KuvvnL3du3a5fzmzp0bLFu2zNkN8u6/r71797pnIKpckIYR9zsAnkFpuHTpUujTfqQ0CCE6BTpCf4RlHR6dbq4O/8KFC+5+NAzCEiECS5YsyTtqq3RQhgBhE60nBAV1av5cUR4IS911FaxMwPtuaWlxdgMhTJsoF0nb8pUrV4IBAwY4e9J2au8Q5s+f7+LIRa7fAc9s3749S4FHiSDPhc7KSGkQQnQKZ86ccSOi8ePHhz5vOlugQ8Ps2LGjzc6N0aV1xu8L1NWkSZNCVyv37t1zo+ypU6eGPl2fhw8fOuEMCMlZs2Y5wVmMUXVS2mrLxsCBA/MKffJPW6+pqQnWrFnj7CtWrAgGDRoUhshPrt8B6ZriYfmiraBc0V4KQUqDEKJTYZqdzpJpWzpLOkqEIZ0who6NK52cdXxR6BQNhEi/fv1CV9eFZQqbdfChjhhl+iNU396VoFw2sgYEMm1o3rx5OZfFSkmutmwwO2LKAMsTpuwYuGnrCHKWpLBv3bo1vBsEjx8/zmrrUXL9DqgP0iRem4FhbwV1V+gSnpQGIUSnwuiIzpIO1ZQEhCGdHMafaWDERaeM8YXg2LFjgwMHDjg7wqIrCkgf1rvzCQ/wFQYERdLRaiXBjIotUxi0IQzYqLpc5GrLPvizD4F9JlHiZhrYE2FLS8ye5JtRi/sdsN8CZYF0UWr8GZho3SUiHZEQFU9nN2X9lHKT7gBd/aRHTql055VKd6TOHz/zh/SIx7nTHZtz58KeA8JaeOL1nyde3KRfyaQFTKbM1J/Vk+9H2bman9WB+VV6HUTx6wTDu7Z2Bn5dELbU+PmAaFu2dorBn/uG+WFyYWHst2PvG+xZwoD/O7DnLF92j/StvjAWbxLU0xXIy5cvU5MnT3YVXVVVlbp+/Xp4p3iUI4209pqqq6sLXW/w025qagp9CycafynLRJxGknT4IXEP09jY6MJcvHgxvPsG4tqwYYO7mtvijhrKyrUjEEdH6lwIIUpNyZYnbGemb8DsTMNA9Mzquw5TPd9++y3SIfjss8+CVatWBa9evQrvFodSp8Ea2cqVK0PXG54+fRqMGDEi6N+/v0t75syZ4Z3CiIu/HPUGbaVz48aNoKGhIfjpp5+C3377LRg9erSbouvRo0cY4g07d+506+jdu3d37rt372amHZkyxGBPKx3BwoULXZj2Qr5OnjwZuoQQ4h0l3emVBJvusGkxpkdsioTpIqZHuNrUUQmzUjIYoY4ZMybV0tIS+hSfUqWRayYA/2IQjd+nmGXK127i0mEkH83X7t27M7MJBjMPacUntj4IW1tb6+KPEpcfwvszFnGQhz/96U+aaRBCvNOUbKaBM6E+bAaxDSG2Y5Sr2dNKRtk3rRSDwYMHu1Eqo/S0ghT06tXLjRoZ8WJfsGBBGLL9WBrAKJ6ZGa6MoNklPWXKlA6P2hlFv3jxwh0dIv5i5DsfVibqinqiDGkF0m3koWz4m70j+HUHEydODJ48eeKOMVmdMUtgswnAu3z27FnQp0+f0Ccb6gqGDh3qrh3lxIkTQe/evbPyYKSVCVc/9s5LXV9CCJGPTjs9Ebe7udJ2PCN86Kjp7Pv27euOQKVH6xmhcu7cueD169dOOGHo6On8oyafgPbTAIRdeoQbHD58ONizZ4+baj9//ry73940gN25PXv2dMtExM9UOcLM6EjcUfwyjRw50n0Yxd79nDlznOJCHdbX1wc3b950/u0hWneA/dixY87OUSh7Vz6nTp0KZsyY4ezDhg1zVx/qKhpve6Fenz9/HrsUxD3aECat4Lt3X8r6EkKItugUpQHB5M9EsL+BL11VEoxGjx8/HixdujT0aRUmCFFGqKx9+8IFg3Cn84+affv2hTFkE5cGMMJlBM0Z26hALDQNH/aXIJQw7Ae4fft2eKfjcRtxZTpy5IgTznwYhS+7MftUW1sbnD59Opg9e3YYqjBy1R1QFkbkCFnKTFgD/0WLFrnZibh9Hwhyjq9FP6oTxVeyiGv9+vXuiht/7gMK2qhRo5w9Cvlcu3atK4dPKepLCCGSUHalgWl7H5YkOK9qyxSVAh/m+OabbzJCGyFApz1mzBgnzBFEjABNGfKFSNTkGqlH0/D5/fffM2d3jfak4ZNvlNrRuI1omainX375xQlh7OSBJRem2/Fno2I+UFrIQ5S4umOqn3gNFLsvv/zSLUUA93h/xPny5UsniNkU6pNvaYJ88CyQrilZxLVhwwZ3xW0zQ8BsEUoDz3733XfB559/nrXEgAJHHZB36Gh9CSFERyip0sAo7v79+5nPv/IPZvgylX204n/8j//h9gH8/e9/d+6oQvGuQqdO58ySBJ01HTrCpKqqKjOyvXbtmvsalwk0X4hETdxIPS4No7Gx0Qk8lBR295vQKzQNH4TQzz//7NLyBZPRkbiNuDJRT8OHD3fC0eqM+yhE+Fv9FUKuumMPwP79+zOjfO7dunXLzQyxJEH6/tflovDctm3birY0AdSd1WNdXV3Q1NSU2W/ByQ/eBYoLSxT4laK+hBAiMenOShQAO++pNjP2LQB22fs77Qm3ePHi1J07d0Kf5ORKw74vgJ0TAZwMaGhoCJ9KDjv0LW7/JIHv35Fd/HHx5yoT/pZWfX195kQC/rjznTjwIU7IlQ71lVYe3Pug3rjHFTfvDXd1dbULR3ie85/3/TDRUxX45YIytHV6Avy6IB/kx/Jg/sWqLyGEaA/d+JPumIQQQggh8tJppyeEEEIIUVlIaRBCCCFEIqQ0CCGEECIRUhqEEEIIkQgpDUIIIYRIhJQGIYQQQiRCSoMQQgghEiGlQQghhBCJkNIghBBCiERIaRBCCCFEIqQ0CCGEECIRUhqEEEIIkQgpDUIIIYRIhJQGIYQQQiRCSoMQQgghEiGlQQghhBCJkNIghCgpQ4YMCaZPnx663nDo0KGgW7duzhiEw7158+bQ522izxjLly93/sQLxIH7wYMHzl2pXL58OatclMfqIFq26D1z8w66Gva+ufpQT51RXqt33leud+T7Y8Deb9xvxLDfSrSs9qzFBRY2Wge4rQ11BCkNQoiScvbs2dCWzbp164JUKhVs2rTJdWZ0qOa3evXqMFSrcDBQBJqbm53x/a1j5lniAOKYNm2as1cy48aNc3VkHD161JXz4MGDwZYtW0LfVq5everuYaqrq939+/fvBxs3bsyriFUavO8JEya4ctK+fMH86NEjV2bfr9TQfq3eeV/UO3baqf+OWlpaMuHsnfJucE+aNCkj1Mm7/7727t3rwgCKgnHlypVMXH54/O7duxe6Wp9Babh06VLo036kNAghOgU6MevYx44d64Th+PHj8wq3CxcuuE4Z4wsFhCVCBJYsWZLVsXY1TKGaO3fuW4IRhYlRpvlzRXkgLHXXVbAyAe8bYeyzbNky1ybKBUKderd2Z/Ufbae4czFr1qxYoW7vEObPn+8UBcPaAs8+fPjQhZ03b95bsww8s3379iwFnjBxMxJtIaVBCNEp0InV1NQ4O50iHSAjJISbP+26Y8eONjs3RpcDBgwIXe8HCAhGpz6MLhllT506NfTp+iAsTRjTbhCgKJDFGFUn5cyZM67tovQavrIQhXuffPJJlkIAT58+dW2d38WaNWucfcWKFcGgQYPCEPGgNFFm4iIfzF74M3EDBw7MpGP5oq2gXNFeCkFKgxCiU7Bp9l27dmV1sCgTNu2KoWPjSifnd7A+dIoGQqRfv36hq+tC/fnLOAZ1xOjbF0hR4dRVoFw2wwS0GwQuo+1cy2KlhCUjFJevvvrK5QOhH1XsgHeHouO/EwT/f/7P/9m1dQQ5Sw7Yt27dGoYIgsePH2e1dYNy28wL+HagPsgL8doMDHsoqLtCl/CkNAghOgWbLmdql07UoPNkFEYnh/FnGhhx0Slj/A6X5Y0DBw44O8KiKwpIH5Zw4oSHj68wICjaGq1WIsyoRAWkKZvgK6PlgBkvlAHyRB5QeOMUOx/LI4L///yf/+Pauj/TwJ4I+60wexKdUWNGgd9LFHvf7JNAWSA/KDX+DEy07hKRjkgIIUpGugOkB0+lR06pdOeVSnekzh83/hj80yMeZ+eaD3sG0p2gM0C8+Jvb4if9Sqa5uTlTZr+efD/KztX8rA7Mr9LrIIpfJxjetbUz8OuCsKXGzwfYO7L34LdT8mZ2sLLka/eEJ4z9dux9W5kx2C0cxtLBbvmy3whp+c9avEmQ0tBBXr58mZo8ebKr+KqqqtT169fDO8Wnrq4u1dTUFLqKS1qbfasMxSpbknjaW7b0qDQ1ZcoUdzVyxcUPiPQxjY2NLh8XL14M776B/G7YsMFdzW35jxrSygX347C6xmAXQohKoejLEzalaIYpRaZfzG1TMbZz0z83ip1px0qCPH/77bdIh+Czzz4LVq1aFbx69Sq8Wzxu3LgRnDx5MnQVF+Lu2bOnK8O//uu/Btu2bXP+xSpbW/G0t2xsGvriiy/cVG3fvn2dX6648G9oaAh++umn4LfffgtGjx7tpuZ69OgRhnjDzp073fp59+7dnfvu3buZ6UamCjFphSP46KOPgtmzZ7swSSHPhw8fds9jWM8nb0IIUQkUXWlYFm5aqqmpcVc25NiGp/RIz3W4CBHWHe/fv585U826DGst0V2f7zqLFi0KRo4c6exff/118OLFiyA9MnXuYoKA+fTTT0NXcSH/lAOGDRsWfPzxx85erLK1FU97y7Z27dpg/fr1mbghV1xPnjwJhg8fHgwdOtS5eYa1RnMbtMFnz55l6gCsflB0WBtmYxN+bFA6cuRIGCoZxA19+vRxBmVNCCEqhaIrDex89qFjto0gjNaYaeDKJh2Mf4yKDU+M8Cp5w87gwYPd6JURJYpTr1693EgSRQn7ggULwpDJOXHiRNC7d+/MyNdAaDFbwxWBhoI2ZcqUds908Nzz58/dEZ84rGwdxY8nrmzUF3VFWfg4CpvcKCP+vv3169fBxIkTw6dy1xMQDsWBsln9LFy4MCss7wyhjjCPgxkHMEWDOMmDP1NgM2qYODfPfvjhh07huXbtWjBnzpyM0rN7925XbsJaGduqByGEKCdlPT2BwhA9fmI7fFE2mIlgJ3Vbu03fVRBKdOYIIqbLmWGZPHlyRticO3fOCRmEFgZh4AsVM75iYYJ85syZoc8bEICMrJnu3rNnj5t+P3/+vEs/afwGAnPEiBFuRB0njPyyQaHxG348ucqGEKUdWNtAsHIOmnqsr68Pbt686XYTf/DBB1n5yVVPQLhjx445O23Q3onPqVOnghkzZjg7My5RSNOvA67kgTIZzKiZiXPzzPfff++W4ZilMAWN/NM+MITFP0k9CCFEOSmr0hA9V8zoe+XKlaGrdSYi3xez3mUQusePHw+WLl0a+rQKGYQoI1fK5gsdDALeFypm9u3bF8bQOt0+atSo0PU2jFwZuXPe1oQZJI3fQMlhuYjlIxQ4ymPEla3Q+CEaT76yIVAR3HwshSN4tIva2trg9OnTmX0E/hJCW/UE5BmFCIHLGWW/jPijMDED4rdJA6FuSxM+5OH27duhKxnsuUAZQNlA8SJu8sbsA/Xjk6QehBCiXJRNaYieK2akxfqxjaIqHTa0ffPNNxnBjSCgYx8zZowT6AgoRol8BtTuJxmpM4OAMMT/u+++Cz7//PO3ZgJ+//33zDleI2n8Uchf9J1EywbtiT8aT66yUVe//PKLE9DYGVGz9MK0PP5sYoySr56Y9veXEFDgvvzyy8z+Au7xnlB42GuBUO7fv7+7Z0SXJtoLaTGbwCyCzXz84x//cFf8KBv5hfbUgxBClJKSKA3sU2DUav+1iysfqrCvUqFAMHKyj7ZU2omJKAgnOnBG63TodPoImaqqqsyomvVrvlJHeQHBmWSkjt386+rqgqampqw9B42NjU4IoqCwH8QEYdL4o1g+7TRCXNmg0Pjj4slVNvLApkWEqJ8fFCP8rQ796fl89cR+gP379ztFB0j/1q1bbgaIJQnS8L8qF4XnOFHiL00Y5CFuKQPISxy//vqrU04w2ImfEyUoBigrKBX4Ja0HIYQoG+mOTXQAzulTjWbsOwScv8cYhFu8eHHqzp07oU/hEId9f8C+OUBafKMgPVJONTQ0uHuFQj4t/6Rh5CpboSSJxy+bb6+vr8+ExR93Wtg6v9ra2sy3FHz856mbtILi6p06In2uuK3c1dXVLhxxkjc/j74fxn+npE0eLH9J8esbO2mTB0u3kHoQQohy0o0/6c5KiIqDZRDW9XNtfiw1nNZgz0G+mRshhOhKSGkQFQvT+XzciY8xMYVfTljiYOnpxx9/zCzlCCFEV6espyeEKCa2vs/eGBSIckFanAKSwiCEeN/QTIMQQgghEqGZBiGEEEIkQkqDEEIIIRIhpUEIIYQQiZDSIIQQQohESGkQQgghRCKkNAghhBAiEVIahBBCCJEIKQ1CCCGESISUBiGEEEIkQkqDEEIIIRIhpUEIIYQQiZDSIIQQQohESGkQQgghRCKkNAghhBAiEVIahBAlZciQIcH06dND1xvw69atmzOHDh0KNm/enHEvX748DPU2FiYKz1hcQLq4ibeSuXz5cla5Hjx4kKkD7D7Re+amLroa9r6jbYV66ozy2nuivVm9R9ue/34wQH59dxwWJlpWS9N/Nvo7MKiTqF97kNIghCgpZ8+eDW3ZrFu3LkilUkFzc3MwYMCA4JNPPnFuzKBBg8JQrZ2gQSdMeIzvT2cMPEu8uEkX94ULF9y9SmXcuHHBpk2bQlcQHD161JXr4MGDwZYtW0LfVq5evZqpw+rqanf//v37wcaNGyteefLh/U6YMMGVk/ds7x8ePXrkyuz7lRrSGj9+vMvP6tWrXd3zfqK0tLRk3o+9U/sd4DahTnz++9q7d68LAygKxpUrVzLPmrIC+BGvwTMoDZcuXQp92o+UBiFEp4AwBDo+7Oamg0OBiAMFwML6QgFhiRCBJUuWuM6ZjpswX331lfPvKiCUYO7cuVl1AAgKRpnmz5V6IGylK08+Viaw9+2zbNky1ybKBQpsTU1NVt3HYW3cB2Fuz4wdO9Zdfewdwvz5893vxbC2MGvWrODhw4dv/Q5MweCZ7du3ZynwpEt+C52VkdIghOhUBg4cGNpaefz4setc6dAwO3bsaLNzY3TJbIUPHSYdOaO0rgjCZNKkSaGrlXv37rlR9tSpU0Ofrg/C0lc4EaAIzmKMqgsBgczsAjNBbcG7M8UYYU47BZQf2jruNWvWOPuKFSuyZt7i4DnKHPc7AH5jpniYgkJbQbmivRSClAYhRKdhHZgPHR8wxYqhY+NKJ2cdXxRf8UCI9OvXzwkSe64rgnCykaYPdcQo0x+h+vauBOWykTUwokbgzps3L+eyWKmgfpkpoP21Be/OFB1bbtq1a5drt9gR5Cw5YN+6dasLByjUUSUbKDczL3G/A6A+UECI12Zg2FNE3U2bNs25kyKlQQjRadCB+VOyCAHr+OjkMP5MAyMuRpMYXwgSx4EDB5wdYeHf64qjbtav44SHj68wUM9tjVYrEd6tLVMYCFoMUPZyQVo24i8EWzZiRow9KLR1f6YBPwvD7El0JoGlEZu1iPsdsE8CZYE6YSbEn4GJ1l0i0hGJDvDy5cvU5MmTaaGpqqqq1PXr18M7xaMcaaQbZqquri50vcFPu6mpKfQtjGjc5ShPHOShvWWIku4cUlOmTHFXI1f86R+qKyemsbHRlffixYvh3TdQLxs2bHBXc1s9RU3cu3pXSXeALs/pkVMq3Xmlli1bFt5JOT+fqDsOqwOgbjFAvPjjbm5uzoTDXsn4ZaH+0iPDjNv8KDtX87M6MT/eQVfCrxMM7cbaGfh1UY73b/mxeo6m77dT7pkdyLuF5V4chOe+/XbsfVuZMZa2/zuw5+x3ZfdoQ/6zFm8SpDR0EBMCQEdOJ2+dfrEodRoIdRpOVBAhENOaaocEVFzc5aizKKSH0C6G0kC9jBkzJlMGyBU//oS9c+dOxv3RRx9lPWtElSvCUFfAPQz88MMPqT/84Q9ZCosQQpSDki1P2M5M34DZbVcnUzrmV86ppGKxaNGiYOTIkc7+9ddfBy9evAjSAtC5i0Wp02CjTVogha5WXr16FfzX//pf3dTXvn37Qt/CiYu72OUhr3/+85/dNRdpARx8+umnoatjrF27Nli/fn2mDJAr/idPngTDhw8Phg4d6tw8wzq0uQ2mDJ89exZ8/PHHoU9rWOqKcjG9bJve/vjHPwZ/+ctfXD6EEKKclExpYK0prZS4tRmum8JzpNibm5vduWGgM8QP469DViqDBw8OevToETx9+tSVvVevXsGNGzfcuhL2BQsWhCHbj6UBbJJB4eKKcGED1JQpU/IK0CTcvXvXCfMzZ864+IuR71z45aGuqCfKQDthjY6y4W/2Qjlx4kTQu3fvoHv37qFPK7t373ZpWf0lSRv769evg4kTJ4ax5I4fCIfigPJk72ThwoVZYWkrKAx9+vQJfbLhXYCvaBAv+SA/QghRLkqmNHCMxIfRle309c+qRs8VVzIIB4QLAqFv375uV+zkyZMznf65c+dcR4/wwCCcKHvU5BPQfhqAMGKUe/jw4WDPnj1BQ0NDcP78eXe/vWkAG2969uzpFD3iP3nypBOORkfi9omWh9E1G4JMgZwzZ45TXKjD+vr64ObNm84/KeTz+fPnwcyZM0OfVvDnfWBQWKnHJGlTLx988EEmv7niNwh37NgxZ2emwNqCz6lTp4IZM2Y4+7Bhw9zVhzT9OgLs5IP6E0KIctFppyesY+4q54oZLR4/fjxYunRp6NPa2SNEGUHax1Ws88cg3G2WxTe5lgPi0gBGoIzW2bUbFSyFpuHDkRwEKeazzz4Lbt++Hd7peNyQqzxHjhxxwpMvrLW0tDgls7a2Njh9+nQwe/ZsF8ZXWpilYLmAK278uQ8oPKNGjXJ2H/LP9D7p+yRJ219CyBW/D2kxS4HiQZ1SbgN/liDI+8qVK0PfN1AOf2nCh3z470QIIUpNpygNjF79mQgUCDtXXKlwxvabb77JCG06ewTNmDFjnDBHUDBq5Ytedr/QkXo0DZ/ff//dKSU+7UnDJ9+ovqNxQ1x5qKdffvnFCUns5IG2wTQ8/qNHj3bheMaUFvZDbNiwwV1x20wLMPuCUCdf3333XfD55587QQ0oQ8THMgUkTdsnX/zE6y8foDh++eWXbikCuEf7sDKgnPTv39/dM+KWJoQQorMou9KQ7x9mVOqeBoQEAoUlCQQBwoLOvqqqKjOKvnbtmvvQBsIFfKEXNXEj9bg0jMbGRieQUFKYuTGhVGgaPgjOn3/+2aXlC1OjI3FDrvJQT2wcRKBbnREGhQh/q7+kkBfLV11dXdDU1OTeyapVq1y5ENIsUaAEJU3bV6bi4mepA9gXsX//fhc3UM5bt265mSeWJEgj35luntu2bdtbSxMG+YhbzhBCiJKR7uxKhp0njp4fNfOPf/wjY/fPrVYSHJHzy8Sxu+vXr2cdkQPCLV68OHP0rhBypUGdmd2OATY0NIRPJYdjghY3aRm+f/QoYVLi4s5VHrtnadXX12f5406PyJ3bBz//+wa5sLipq7SCmknb0kuSNn61tbWxafnPk0ZaEXLvm/dCWnb0knaBmzwQjjjJh18Xvh/Gb0tA+uTD8iiEEOWgG3/SnZIQIiEsv7C/Idfmx3LAplT2XySZ1RFCiGIhpUGIAmFZ44svvgh27tzpljLKDcscLLH8+OOPbvlECCHKRaednhCiUrF9DvxPBBSIckJ6HF2WwiCE6Aw00yCEEEKIRGimQQghhBCJkNIghBBCiERIaRBCCCFEIqQ0CCGEECIRUhqEEEIIkQgpDUIIIYRIhJQGIYQQQiRCSoMQQgghEiGlQQghhBCJkNIghBBCiERIaRBCCCFEIqQ0CCGEECIRUhqEEEIIkQgpDUIIIYRIhJQGIURJGTJkSDB9+vTQ9YZDhw4F3bp1c8aIuuPIFWb58uXOn3iBNHFv3rzZuSuVy5cvZ5XrwYMHmTrA7hO9Z27eQVfD3jdXH+qpM8pr74n2ZvUebXv++yE8xP0OoliYaFktTf/Z6O/AoE6ifu1BSoMQoqScPXs2tGWzbt26IJVKBZs2bXKdGR1sc3OzM37n6NtzhaEzBuIjXjpTi3/NmjXuXqUybtw4V0fG0aNHXbkOHjwYbNmyJfRt5erVq+4eprq62t2/f/9+sHHjxopXnnx43xMmTHDlpH3Z+4dHjx65Mvt+pYa0xo8f7/KzevVqV/e8nygtLS0uDO33ypUrzi/6OwDi89/X3r17XRgwZQOIw54lvJUZP+I1eAal4dKlS6FP+5HSIIToFOjErJMbO3ZscOHCBScgMbk6/FxhEJYIEViyZIm7EgaWLVuWM75KBKEEc+fOfatcCApGmebPFQFGWOquq2BlAt43wtiHd06bKBcosDU1NVl1H4e1ycePHwezZs1y9ujvIIq9Q5g/f35G2QBrC8T18OHDt34HpmDwzPbt27MUeNIlv1wLQUqDEKJToBOjowXrFH3o0DA7duxos3NjdDlgwIDQ9TZx8Vc6CJNJkyaFrlbu3bvnRtlTp04Nfbo+CEsTxghJBCiCsxij6kJAIDO7wExQPpgRmDdvXiac/ztA+aGt42aGDPuKFSuCQYMGufu54DnKnOt3MHDgwMxvwBQU2grKFe2lEKQ0CCE6BZtm37VrV9ZoyuAeho6NK51cLuFPp2ggRPr16+fsCBFGZ10R6s9Gmj7UEaNMv07j6rcrQLlsZA2MqBG4COVcy2KlgvplpoD2lw/eGYLaZn783wHtFjv3WXLAvnXrVhcOmKHw27pBuZl5yfU7oD5QQIjXZmDY80PdTZs2zbmTIqVBCNEpWKfJei0dJ6MphDyGDphODuPPNETDGHTWBw4ccHaEBfcQKKzl2yi0K8FoNU54+Fj9UA8IirZGq5UIMyq2TGEgaDFA2csFadmIvy14N/Z+/N8Be1Bo6/5MA34WhtmT6EwCSyOffPKJs8f9DtgngbJAnTAT4s/AROsuEemIhBCiZKQ7QHrwVHrklEp3Xqlly5Y5f9z4Y/AHc+fDD5PuBJ0B4sXf/Cyc+VUqzc3NmXJQT+mRYVbZrE65mp+V1/x4B10Jv04wtCVrZ+DXBWFLjeXH6jmavrVJv80bcb+DKNae7bdj79vKjLG0434HpOHfow35z1q8SZDSUERevnyZmjx5snsJVVVVqevXr4d3ik9dXV2qqakpdBWHtEb7Vt6LVaYk8RSjTMQfh5UNg72jpEcUqSlTprhrvrj50VJeTGNjoyv3xYsXw7tvoH42bNjgrua2+ooa6kkIITqDoi9P2JSiGdsZam6bLmJ60fwMplHwr1TI/7fffovUCj777LNg1apVwatXr8K7xePGjRvByZMnQ1dxIM6ePXu6vP/rv/5rsG3bNudfrDK1FU8pymQ8ffo0OHz4cJAW2M6wdkh67YX4vvjii8yRqFxxc21oaAh++umn4LfffgtGjx7tpgN79Ojh7vvs3LnTrdl3797due/evevCUl9pRcQZ4v/oo4+C2bNnuzBCCFFuiq40LAs3LdXU1LgrG3Jso0d61OU6P2BDB34YYF2GtRbWIP3z15XEokWLgpEjRzr7119/Hbx48SJIjxidu5ggPD799NPQVRzIN/mHYcOGBR9//LGzF6tMbcVTijIZz549c9c+ffo4g3LUEdauXRusX7/elSdf3E+ePAmGDx8eDB061LkJzyYocxu0e+KxOgd7HyhWrEezSx4/NkUdOXIkDCWEEOWl6EoDx0d86CRthy8jJ5tpsN2cPmx4YrTVVTbsDB482I0qGZmiRPXq1cuNPhl1Y1+wYEEYMjknTpwIevfunRmRAoKEuuSKkEFRmzJlSrtmBHjm+fPn7phPHFamjuLHE1cm6ok6ohzNzc1ugw/lw9/shs1YWXuKuhHSH374oRP2165dC+bMmZNRYHbv3u3SIazFny9d6vb169fBxIkT3fP54iYMigN1ae9i4cKFWeWkbaAwoHDEwYwDmKJBnKRPfoQQotyU9fQECoOdK2aGgU7ZPi+LssFMBDtI444RVRoIC4QMAqJv375utmXy5MkZIXDu3DnX+SNMMAgpX9iZ8RULE+gzZ84MfVpBKDFSZ5p8z549bkr8/PnzLu2kcQMCbMSIEW6E6wtlwy+TUUj8hh9PrjIheGkLtsMYYXzmzBlXf/X19cHNmzedP9iMlc1aRd2k8/3337ulL0bpphCRNu8BQ1j820qXev3ggw8ydZArbuDesWPHnJ12b+/e59SpU8GMGTOcnRmeKOya9uucK+lTh0IIUW7KqjREzxVzFMo6Z2Amoiscj0L4Hj9+PFi6dGno09r5I0gZUVJOXxhgEEa+sDOzb9++MIbWKfxRo0aFrmwYiTJ657iPCRhIGjeg3Ny/f98tIaHEUQ4jrkxQSPwQjSdfmRDCCFI+z8pRJtpGbW1tcPr06YLX9dkvgTKAsEXJQWEg78wQkB+ffOmiVPjLCBAXt0EaKGAoHCjIfp3ij4LGjMvKlStD3zcQjy1N+JD+7du3Q5cQQpSPsikNuc4Vd8Wzw2yG++abbzLCm84fgTNmzBgn1BEcjF7tozPcTzJaZxYBAYv/d999F3z++edZMwK///575jyvkTRuH/LlK3MQLZNRaPzReHKViTr65ZdfnMDEzswCSwNMy+PPpsKk8AyzCQh8G/n/4x//cFf8iItlCmgr3eh+hFxxE5+/hICi+OWXX2b2QHCP9oByxd4OlJL+/fu7e0Z0aUIIITqbkigNnJhgxGpLD1z5UIXtY/BPTthHKboKCDyEEKN2BAPCg86/qqoqM7pm7ZsvdVF+QIAmGa1jN/+6urqgqakpMx3e2NjoBBPKCftCTDgljdvH8kcZIK5MRiHxx8WTq0zkgU2ECGM/PyhF+FvdRSGeOH799VcnnDHYUXY4wYFigLBG8OPXVrr/9E//lLU0AtG4gaW3/fv3uziB8t66dcvNNLEkQdz5PgLDc5xgiS4HAenHLWUIIUTJSXeyokhwfp4qNWPfI+DsPsYg3OLFi1N37twJfQqHOPimgX0HgHT4ZkB69JpqaGgIQyWH/Fm+idvIVaZCSRKPlSlqr6+vz4TFH3daQDt3UvzyYaeuqqurM3lJmu6lS5dStbW1WenHxZ1WiNz75X3gzxW3hSVtwhE/6Vs+cPt+FqdBuqRv+RJCiHLSjT/pjkkIkRCWXdhTEd28WQ44acKei1yzREIIUUqkNAhRICxp8HEnPsjEMka5YImDJa4ff/wxs3QkhBDlpKynJ4ToCtgeB74rggJRDkiHk0dSGIQQnYlmGoQQQgiRCM00CCGEECIRUhqEEEIIkQgpDUIIIYRIhJQGIYQQQiRCSoMQQgghEiGlQQghhBCJkNIghBBCiERIaRBCCCFEIqQ0CCGEECIRUhqEEEIIkQgpDUIIIYRIhJQGIYQQQiRCSoMQQgghEiGlQQhRUoYMGRJMnz49dL3h0KFDQbdu3dx9AzcmH7nCLF++3PkTL2zevNm5Hzx44NyVyuXLl7PKRXmsDqJli94zt1/HXQV731x9qKfOKK+9J9qd1Tv2KNF2z28jrhw+9kxcGOLhnt8WrG58P8JZG+oIUhqEECXl7NmzoS2bS5cuBfxn/iVLlrjOjA62ubnZGb9z9O25wljnSHzr1q1z9tWrVwfTpk1z9kpm3LhxwaZNm0JXEBw9etSV8+DBg8GWLVtC31auXr3q7mGqq6vd/fv37wcbN26MFWCVCu97woQJrpy0L184Pnr0yJXZ9ys1pDV+/HiXH9oddc/7yQXh7t275+y0V9x+frH772vv3r0uDKCcGPxueLeU134P9hzhyQfwDEoDv7mOIqVBCFF2/A5y1qxZrjO7cOGCE5CYXB1+rjAIS4QIoIT4HWtXA6EEc+fOfaueEED+CJMrgoOw1F1XwcoEvO+WlhZnN5YtW+baRLlAYNfU1Lw1uo/CvXnz5mXNhNCWYdKkSe4axd4hzJ8/P7hy5YqzA7+bsWPHZu4TdteuXcGOHTuyZvd4Zvv27VkKvM1Q+HlJgpQGIUTZoZPLNQNh0KFh6ADb6twYXQ4YMCB0vR8gIKKChtEro86pU6eGPl2fhw8fZgQvyiJKKApkMUbVhUB7ZnaBmaBc0O6ZAWB2wGYGeI+0b4S9LXGggKxZs8bZV6xYEQwaNMiFjeIrFICihBJlsxLch4EDB2YpFkBbQbmivRSClAYhRKeAYLMOkhGU3/kBHR+Gjo0rnVw0jEGnaCBE+vXrF7q6Lggnm3XwoY4QHL5AiQqXrgLlshkmYERNe2I035ZSWmyoX0b9tL+2sFkS4DnaN0ox7RY7gpwlKexbt24NQwbB48ePs9p63Du1+yiUNgNDffBbI16bgWEmgrordAlPSoMQolNgutSUAkaKjKYYaWHoDOnkMP5MQzSMQWd94MABZ0dYxHWmXQnWrX3hEYfVAYIVQZFrtFrJoHj6AhhoUxiwUXU5IC2EtK/E5CP6PnhfPG+KtM00sC/FlpaYPfFn1EiLfQ1WTn4H7H8Am4HhPsoCdcJMiD8DE627RKQjEkKIkpHuAOnBU+mRUyrdeaXSSoLzxw+Dn2F++fDDpDtBZ4B48Tc36eEm/Uqmubk5U2bqKj0yzLjNj7JzNT+rA/Or9DqI4tcJhndt7Qz8uiBsqbH8WD1H07d2ijF/wsS9szjsOfvt2PsGK7e57XdAndhz2P17tCF7DmPxJkFKQwd5+fJlavLkya7iq6qqUtevXw/vFI9ypJHWZlN1dXWh6w1+2k1NTaFvYUTjLkd54iAP7S1DlPSIIDVlypTUnTt32iwLP1zuYRobG12YixcvhnffQL1s2LDBXc1tcUdN3LsSQohSU7LlCduZ6RswO9OL4Iczv0qCqZ9vv/0W5Sv47LPPglWrVgWvXr0K7xaHUqfBmtnKlStD1xuePn0ajBgxIujfv79Le+bMmeGd5MTFXY46i3Ljxo3g5MmToatjUC9ffPGFmyJOC/+8ZSHdhoaG4Keffgp+++23YPTo0W5KsEePHmGIN+zcudOt23fv3t25796968ISN1OUGOw//PCDi5d8CCFEWUl3QiXBpjtsuobpEZsiYbqG6RGbngFGY2avVBhBjhkzxo1CS0Wp0sg1G4B/R4nG7VOM8kRH6HHs3r079ac//akoMw25ZiziykK4aNnJSzSvzDyklavY+iZsbW2ti9+Ii1cIIUpNyWYa2OTkwy5f2+lrx2PY+GGbdTgy1RU2Lw0ePNiNIhkFphWmoFevXm5UyOga+4IFC8KQ7cfSAEbyzNJwZYTLrukpU6Z0eOTOKPfFixfBmTNnXPzFyHcu/PJQV9QTZUgrl25jD2XD3+yFcuLEiaB3796ZEbyRFt4uLau/JGljf/36dTBx4sQwlmz8sgDhnjx54o5N2TtZuHBhVl5oK8+ePQv69OkT+mTDu4ChQ4e6KxAv+SA/QghRLjrt9ERUQWhrJ3AlgHBAuCAQ+vbt645EpUfrmU7/3LlzrqNHeGAQTrY045t8AtpPAxBG6RFocPjw4WDPnj1uKvz8+fPufnvTAHbr9uzZ003BEz9T+whfoyNx+0TLM3LkSLf719rHnDlznOJCHdbX1wc3b950/kkhn8+fP39raQV/3gcmrTy7ekySNvXywQcfZAl9I1oWwH7s2DFn5wiUtQWfU6dOBTNmzHD2YcOGuasPacbFSz5IUwghykWnKA0IIn8mgr0Mlf5hFkaLx48fD5YuXRr6tHb2CFFGkKxN+50/BuGOwIqaffv2hTFkE5cGMAJlhMvxm6hgKTQNH87xIkgxrNffvn07vNPxuCFXeY4cOeKEJ59lbWlpcTNTtbW1wenTp4PZs2e7ML7Swsh+/fr17oobf+4DCs+oUaOc3Yf8r1271qXvkyTtjz/+2F19cpUFSItZChQP6pSwBv6LFi1yeY/bV0I5OC4X97U48uG/EyGEKDVlVxqYpo/CBzlsyaJS4Wte33zzTUZo09kjaMaMGeOEOYKCUSsfsbH7hY7Uo2n4/P77704p8WlPGj75RvUdjRviykM9/fLLL05IYicPLLkwDY8/GwmBZ0xpefnyZbBhwwZ3xW0zLcDsC0oD+fruu++Czz//3AlqQBkiPpYpIGnaccSVhXj95QMUxy+//NItRQD3aB9WBpQTNp36xC1NCCFEZ1FSpYFR1f37990JCeCzmXyZyj5aUc4Pb5QShBAChSUJBAHCgs6+qqoqM/K8du2a+9oX5QZf6EVN3Eg9Lg2jsbHRCSSUFHbfm1AqNA0fBOfPP//s0vKFqdGRuCFXeain4cOHO4FudUYYFCL8rf6SQl4sX3V1dUFTU5N7J5xyoFwIaZYoUIKSph1VpnKVhX0R+/fvd3ED927duuVmnliSII18H4LhuW3btr21NGGQj7jlDCGEKBnpzlR0AHawU41m7Kw+u+D9nfCEW7x4sTvXXyi50rDz/9jZsc/O/YaGhvCp5LAT3+L2d+T7/tjbQ1zcucpj9yyt+vr6LH/c0VMHgF9bpyfA4qauqqurM2lbeknSxo+TDJYW9+LKQhpp5cG9b94L97jipl3gJg+EIzzP+c/7fpjoqQrSj56oEEKIUtONP+lOSQiREJZf2N/Qnu9WFAs2pbL/Iun+ESGEKAZSGoQoEJY1+LgTH2NiKaPcsMzBEsuPP/7olkSEEKJcdNqRSyEqFdvnwD9SQoEoJ6TH906kMAghOgPNNAghhBAiEZppEEIIIUQipDQIIYQQIhFSGoQQQgiRCCkNQgghhEiElAYhhBBCJEJKgxBCCCESIaVBCCGEEImQ0iCEEEKIREhpEEIIIUQipDQIIYQQIhFSGoQQQgiRCCkNQgghhEiElAYhhBBCJEJKgxBCCCESIaVBCFFShgwZEkyfPj10ZXP58uWgW7duwebNm50bOyYfucIsX77c+R86dMi5iRP3gwcPnLtSsTqyclEeq4No2aL3zM076GrY++bqQz11Rnn9tmz1bu3ah/z578TcmFxYmGhZgXi4Z22B3xruaNqEszbUEaQ0CCFKytmzZ0NbNnRy48ePD1KpVLB69WrXyTU3Nzvjd46+PVcY6zCJa926dc5OnNOmTXP2SmbcuHHBpk2bQlcQHD161JXz4MGDwZYtW0LfVq5everuYaqrq939+/fvBxs3bowVYJUK73vChAmunLQve//w6NEjV2bfr9RE2zJ1z/vJBeHu3bvn7LRX3LxjE+rE57+vvXv3ujCAcmIQnndLefk9cO+rr75yYXft2hWGan0GpeHSpUuhT/uR0iCE6BTo5GpqajKjpAsXLjgBicnV4ecKg7BEiMCSJUuyOtauBkIJ5s6d+1Y9IYD8USdXBBhhqbuugpUJeN8tLS3Obixbtsy1iXIRbcu54N68efOyZkKw2zNjx451Vx97hzB//vzgypUrzg4oATxj97k3YMAAZ/d/B/hv3749S4G3GQo/L0mQ0iCE6DToxBiRMXqOQoeG2bFjR5udG6NL6yzfFxAmkyZNCl2tMHpl1Dl16tTQp+vz8OFDp0QCQnLWrFlOgSzGqLoQ8rVlA+HOLACzAzZThjBH4QCUH9o67jVr1jj7ihUrgkGDBrn7UXyFAgYOHJilVBj4WzhTUGgrKFe0l0KQ0iCE6DToyBgp0fH7nR/QuWLo2LjSyUXDGHSKBnH169cvdHVdEE426+BDHTHK9AVKVLh0FSiXzTABAhOBy2g+17JYqaB+rS23hc2SgC03sZxAu8WOIGe5AvvWrVvDkEHw+PHjrLYefafEa8oG8ZkyRX3gR7w2A8PeB+qu0CU8KQ1CiE6DTp/RFZ0XoylGihg6Qzo5jD/TEA1j0FkfOHDA2REWXVFA+rDe7QuPOKwOqGMERa7RaiXDjIovgAFBiwHKXi78tpwEex+2bMS+Bfag0Nb9mQb8LAyzJ/6MGmmxr8EvJ2Vnzw+zGcB9lAX8mQnxZ2CidZeIdESiA7x8+TI1efJkWmiqqqoqdf369fBO8amrq0s1NTWFruKSbphvlaFYZUsST7HKFtekrWwY7MUg3TmkpkyZ4q4+ceVI/1BduTGNjY2u/BcvXgzvvoF62rBhg7ua2+otakinUkh3gC7P6ZFTKt15pZYtW+b80x2b8+e+YeXLhx+GusUA8eJvbtLD7cdfiVg9Yai/9Mgw4zY/ys7V/KwOzK/S6yCKXycY3rW1M/DrgrClJtqWo+lbO8WYP2HA2qnvF8Wes9+OvW+wcuO2cLQRMDdpgP1GuG/PYSzeJEhp6CAmBICOnE7eOv1iQhoInVIoDcRNOQChagKpWGVrK55ilo0fgA9CfcyYMS4NzEcffZTJS3vx4/SJKwd+hL1z507GnSsPft0DYfz3YgrPDz/8kPrDH/7wlsIihBClpujLEzalaMZ2hprbplH8MObHNArTjpXEokWLgpEjRzr7119/Hbx48SJIC0TnLiZpARJ8+umnoau4kH/KAcOGDQs+/vhjZy9W2dqKp5Rle/bsmbv26dPHmZ49ezp3R1i7dm2wfv36TJmMuHI8efIkGD58eDB06FDn5hnWoc1tMGVIXq3uwd7Lq1ev3PSybXr74x//GPzlL39x+RBCiHJSdKVhWbhpqaamxl3ZkBM9V4xigBuzadMmt/bGTlI6Tn9XaSUyePDgoEePHsHTp09dHfTq1Su4ceOGU4iwL1iwIAyZnBMnTgS9e/cOunfvHvq0wgYZlC6uCBbqesqUKc7eHnju+fPnbrduHFa2juLHE1c26ou6oizNzc1uvZoy4m92H18BjboRzh9++KETsNeuXQvmzJmTJex3797t0iKspZEvber49evXwcSJE8MYWsn1jgiH4kCd2ntZuHBhVjjaCgoDSk0cd+/edVdf0SBe8kG+hBCiXBRdaeD4iA+jqui5YtvRGYUNT+yQrtQNOwgHBAsCoW/fvk5Zmjx5cqbTP3funOvoER4YBJMv4Mz4ioUJ8pkzZ4Y+b0AQMbo9fPhwsGfPnqChoSE4f/68Sz9p/AaCa8SIEW5kGxXK4JcNCo3f8OPJVTaEOpuCbCMXgv7MmTOuHuvr64ObN286f8MUUEzUTTrff/+9U1SPHDmSpRCRPu8EQ1jutZU29fvBBx9k6gHyvSPCHTt2zNmZKbC24HPq1KlgxowZzs5MTxQ2Qfl1D9jJB/UphBDloqynJ1AYoueKbQcwygYzEXTYcceI3nUQusePHw+WLl0a+rR29ghRRpAoTH7nj0EA+QLOzL59+8IYWqe8R40aFbrehtEnI3d20UaFSpL4DZSc+/fvu5kg3gXlMeLKVmj8EI0nX9kQ8AhQvrLW0tLiFM3a2trg9OnTwezZs8NQyTh58qRrVwhYFB2EPFAGZiDIk0++tFEq/CUEaOsdkQ6KGEoHx5z8usUfRY2Zl5UrV4a+byCv/tKED/m4fft26BJCiDKQ7uRLgu0i9bEdnAY7O3PtFq00/v3f/z1rYxob/djwZ5vXuJcWWJkwdp9XEDX+Zjjs0fsWJ0TTMZLGHyWaT4iWDdoTfzSeXGUjjG009PODG/9oXnyIw4dn0gLf5dfyHN1wids2HLaV9po1a96q61zl8DeAGmnFIePH1U5RkDfyGQ2P2/IfhTSieRFCiFJStpmGuHPFfMWtK5ynZrQ4evRoN1pnjZl1cqahq6qqMqNq1tP5cAczD5B0pI7d/NPCKUgLuKwp9rRgcrMYjIJZ2rGNf+2ZCQDLJ2WBuLJBofHHxZOrbOSBzYOM6v38MFODv9VhHMQV5ddff3UbLzHYgRH8qlWr3Ki/f//+bokCv7bS/qd/+qe3lkdylYM9Efv378/MbFDuW7duuZknliSIP9+Zbp7btm3bW0sTBvmIW84QQoiSke7oio6d/7SzotFzxUZ05qESiY4yOXLH6DA6CiTc4sWLM0fv2gNx2CiZWRpLy0bHDQ0N7l6hkE/LP2kYucpWKEni8cvm2/2ROf6440bd+fDLZ++EOksrrJn8JE370qVLOUf+YM8Tf1oxcu+bd0M6XHFbfkjfZjHIg+UFt++H8dsSkH7czIQQQpSSbvxJd0pCiISw0ZN9FXEbH8sFpzXYe5Fv1kgIIYqNlAYhCoQljS+++CLYuXOnW8YoNyxzsOz1448/ZpaRhBCiHJT19IQQXQHb48ARYf8kRDkgPU4XSWEQQnQGmmkQQgghRCI00yCEEEKIREhpEEIIIUQipDQIIYQQIhFSGoQQQgiRCCkNQgghhEiElAYhhBBCJEJKgxBCCCESIaVBCCGEEImQ0iCEEEKIREhpEEIIIUQipDQIIYQQIhFSGoQQQgiRCCkNQgghhEiElAYhhBBCJEJKgxCipAwZMiSYPn166Hob7sPmzZuDbt26Zdy5IAwmyvLly53/oUOHnNvie/DggXNXKpcvX84qF+WxOoiWLXrP3G3VaSVi75urD/XUGeW190S7s3rHHgd5tHv8NgiLsXccBf+4soLv779/8uNDneSKvxCkNAghSsrZs2dD29v4neAnn3wSpFKpYOrUqa7zM/wwdLTNzc3O+P4WnufXrVvn7KtXrw6mTZvm7JXMuHHjgk2bNoWuIDh69Kgr58GDB4MtW7aEvq1cvXrV3cNUV1e7+/fv3w82btyYU4BVIrzvCRMmuHLSvvz28ujRI1dm36/UkNb48eNdfmh31D3vJxfz5s0LbYFrrzxHmx4wYIDzIz7/fe3du9eFgagywHNGS0tLJq4rV66Evq3PoDRcunQp9Gk/UhqEEJ0CHRkdv4FwhEGDBrlON44LFy64cBhfKCAsLa4lS5a81bF2JRBKMHfu3LcEIwKIUab5c6UuCUvddRWsTMD7Rlj6LFu2zLWJcoECW1NTk1X3uSCsr1BYu0fIm93H3iHMnz8/SxmIYs8/fvw4mDVrlrMDz2zfvj1LgUeJIL+FzspIaRBCdAoHDhzIdPwGHdiaNWtcR2nTrDt27Gizc2N0aaO09wXqaNKkSaGrlXv37rlRNrM17wsPHz7MCEuURYQlCmQxRtWFgEBGGWAmKBdRRdln4MCB7j5tHQWE3wH2FStWOEU6KcxQMJPh54O4TfEwpYa2gnJFeykEKQ1CiLLD2qopA3RattRAR8ZUvD/NTsfGlXu5ZiDoFA2ESL9+/UJX1wWhYLMOPtQRo29/hOrbuxKUyxfCjKgRuAjNfMtipYD6HTt2rGt/uWCZiLxhUApsRswEOcoPbZ3fBL8D7Fu3bnX3gBkEv63HQZvgeX9mifTst2YzMOyloO4KXcKT0iCEKDvMMJhSQCfP1KlBp8isAZ0cxp9pYMRFR4vxhSCdNTMXgLDoigLSh9FkW8LDVxgQFIWMVisFZlSis1XWrsCEcTkgLZZJcs0kwJkzZ1zemJFAKbAZEt4PbThupoF9KaYAMHuSZEaNd2/vHwUdZcHS9WdgonWXiHREQghRMtIdID14Kt1JptKdV2rZsmXhnVa4b1fCRe9HIYx1XelO0BngOfzNTXq4Lf5Kpbm5OVNm6i89Msy4zY+yczU/qwPzq/Q6iOLXCYZ3be0H/LogbKmx/Fg9R9P32ylgJ8+Gb4+D8MRlvw1732DpWJzmBnvO4rffCG3I6gtj8SZBSkMHefnyZWry5Mmu4quqqlLXr18P7xSPcqSR1mZTdXV1oesNftpNTU2hb2FE4y5WedJafWrKlCmpO3futBkfPx7uYRobG12YixcvhnffQN42bNjgrua2uKMmrr4KhTjaW69CCFFuSrY8YTszfcP0jdltLQfsDGoxzpCWG/L87bffonwFn332WbBq1arg1atX4d3iUOo0WDNbuXJl6HrD06dPgxEjRgT9+/d3ac+cOTO8k5y4uItRHvL2xRdfuGnatPDPG9+NGzeChoaG4Keffgp+++23YPTo0W5arkePHmGIN+zcudOtnXfv3t257969m5lKZ5oQg/2HH35w8ZKP9sLzJ0+eDF1CCFEBpDvAkmDTHTZdw/SITRNxtekS7F1l6ozR65gxY9wIuFSUKo1cswH4d5Ro3D7tLU+uEXpcfISLpr979+7MbILBzENawYktM2Fra2td/EZcvAbh/RmLOMjDn/70J800CCEqhpLNNPgbm4AdnXFnSL/66it3ZaahKzB48GA3gmUEmlaGgl69erkRJaNr7AsWLAhDth9LAxjJU3dcGV2za3rKlCkdnolghP3ixQu3cYf4i5HvXPjloa6oJ8qQVijd5iDKhr9vf/36dTBx4kT3TBQ/PiDckydP3NElq5eFCxdmZhOA9/Xs2bOgT58+oU821AcMHTrUXYF4yQf5KZQTJ04EvXv3zsoD2PvE2HskLPZvvvkm864tHFchhCgXZT894Z8hZbmC3a/sdt60aVNFLk/4IJgQbAiCvn37ujKmR+sZgXPu3DknZBAEGASBCQjf5BPQfhqAIEyPfoPDhw8He/bscdPw58+fd/fbmwawW7dnz57ufRE/0+gIL6MjcftEyzNy5Ej39TPb+TtnzhynuFCH9fX1wc2bN13ePvjgg7cELkTjA+zHjh1zds612/vwOXXqVDBjxgxnHzZsmLv6kGZcvOSDNAuBunv+/Plbyz0oLpS1Jfyq27/92785v3/5l38J/uM//sOlx7v461//6sLbe+/IEokQQhRC2ZWGuDOkCAg+IcsHWioVOu7jx48HS5cuDX1aBQ1ClNEr6+K+4MEg3BEOUbNv374whmzi0gBGv4yuOeoTFWqFpuHDOV6EOIa9Ardv3w7vdDxuyFWeI0eOOMHNZ1kRoMxQ1dbWBqdPnw5mz57twnz88cfu6pMrPiC/jMpRPCiXL2jxX7RokZudiNvbgZDnSFT0QzpAPqxefEWKuNavX++uuPHnPiDsR40a5ew+KJp8XwBDnig/7xblc8yYMe5rcMDvxexCCFFOOuU7DXaGFGMf4GDJAsWhUtm1a5ebPjahjYBAyNHZI8wRUowirbP3BUzU5BqpR9Pw+f3337MUMWhPGj6M6nPR0bghrjzU0y+//OIENHbywJILSwD4s4kxF3Hx7d69O2v5AOXtyy+/dEsRwD3eEcrOy5cvnXLCxk+fuKWJOEjXFCni2rBhg7vittkfYEYIpYG6+u6774LPP/88s8yAwoWixPIey1u+ciOEEJ1NSZUGRnTMKtjnX5nqNsFiex74QhZupqRtz0OlQYePMGOkiBBCUCFoqqqqMqPea9euuREkZQVfwERN3Eg9Lg2jsbHRCUOUFHb+m0AsNA0fhPbPP//s0vIFudGRuCFXeain4cOHu9kNqzPCoBDhb/UXVWhyxce+iP3792dG+dy7deuWm/1hSYI08n2Mhee2bdv21tKEQT7iljPyQf1YXdXV1QVNTU1umYl6/tvf/ubKwO/GV26EEOKdIN1xiQ7A7nmq0Yx9J4Ad+P4ufMItXrzYfVOgUHKlYd8ewM5pAU4NNDQ0hE8lh937Frd/GsD3b+8O/7i4c5XH7lla9fX1Wf64OY2AHycZ7GRCrviok7Ty4OqcuuEeV9y8G9zV1dUuHOF5zn/e98NET1WQfvREhcG9tk5PgF9e8kF+LD3u8bx9J4L3bXaesTIQTgghykE3/qQ7HiEqCpZA2N/Qnm9HFAs2hrL/IsnMihBCdAWkNIiKhKl8Pu7Ex5hYyig3LHOw9PTjjz+65QQhhHgf6JSNkEJ0FNvnwD8zKvdmQdLjFJAUBiHE+4ZmGoQQQgiRCM00CCGEECIRUhqEEEIIkQgpDUIIIYRIhJQGIYQQQiRCSoMQQgghEiGlQQghhBCJkNIghBBCiERIaRBCCCFEIqQ0CCGEECIRUhqEEEIIkQgpDUIIIYRIhJQGIYQQQiRCSoMQQgghEiGlQQghhBCJkNIghCgpQ4YMCaZPnx663nDo0KGgW7du7r4PYR88eBC63oZnMFGWL1/u/IkXNm/e7Nz54qoELl++nFUuymN1EC1b9J65o3XcFbD3zdWHeuqM8tp7ot1ZvWOPgj+G8JCrHD72W4kLQ1m5Z22B309cWMJZG+oIUhqEECXl7NmzoS2bS5cuBalUKliyZEmmM+P697//3dkNv/OjE25ubnbG97cOk/jWrVvn7KtXrw6mTZvm7JXMuHHjgk2bNoWuIDh69Kgr58GDB4MtW7aEvq1cvXrV3cNUV1e7+/fv3w82btwYK8AqFd73hAkTXDlpX/b+4dGjR67Mvl+pIa3x48e7/NDuqHveTxTeAWFov7yTXOXg6r+vvXv3ujBgygbweyEeysvvgXukbfEZ+KM08JvrKFIahBBlx+/QZ82alenMuOYT9BcuXHBCFOPHgbCk8wWUEL9j7WoglGDu3LlZdQAoTP6okytChLDUXVfBygS875aWFmc3li1b5tpEuUBg19TUZNV9HPbuaL/QVjnA3iHMnz8/uHLlirMDv5exY8dm7vfr1y+T/tSpU90VeGb79u1ZioTNUBQ6KyOlQQhRdujkojMQdLx0bAYdGmbHjh1tdm6MLgcMGBC63g8QDpMmTQpdrdy7d8+NOn2B0dV5+PBhRgijLKKEokAWY1RdCLRnZheYCUqCCXqDcgBtHQVkzZo1zr5ixYpg0KBB7l4UX6EA7LQJnlu5cmXoGwQDBw7MhDOlgraCckV7KQQpDUKITgHBZh3kxIkTM8oByxPcY4oVQ8fGlU4u2tEadIoGnS8jrq4OwslGrj7UEaNWX6BEhUtXgXLZDBMwoqY9zZs37y2ltNRQv4z6Tfjng6UHX0G2cqD80NYR5CxJYd+6dWsYKggeP36c1dZzvdPo8h31wW+LeG0Ghr0PpFnoEp6UBiFEp0CnaUpBbW2ts2PoxOjw6eQw/kwDIy5Gk7Z2a9BZHzhwwNl5tisKSB+Eji884rA6QCAhKHKNVisZlEub3jesHQFlLxekxfKCr8TEEbcZ0cpBu6at+zMN7EuxpSVmT/wZNdIiPiunLcuhfPD+8ec+ygJ1wkyIPwMTrbtEpCMS7eDly5epyZMn0zJTVVVVqevXr4d3SkNdXV2qqakpdBWXdKN8qxzFKl+SeDpStvSPNDVlyhR39YmLM/2DcXnANDY2urxcvHgxvPsG8rxhwwZ3NbeVIWpIp71YvWOwd1XSHaArY3rklEp3Xqm0kuD8rez4+aSVhrf8fOw54J1igHjxNzfp4Sb9SiY9asyUmXqhfsxtfpSdq/lZHZhfpddBFL9OMLxra2fg1wVhS43lx+o5mr61U2ujZg4fPpzlphxx8Cz37bdj7xus3FE37cSes3gtfe5ZOIzFmwQpDe3EhA4gOBAqJmSKDekg6EqhNBA3ZQEElwnBYpWvrXg6UjYUhTFjxmTiN+LixI+wd+7cybg/+uijt54Fvx6AMH4dmYD/4YcfUn/4wx/eUliS4Oc9X16EEOJdoujLEzalaIYpRZtywfjTRUyx4WdTKkyjmP1dZ9GiRcHIkSOd/euvvw5evHgRpIWhcxebtDAJPv3009BVXCgDZYFhw4YFH3/8sbMXq3xtxdORsq1duzZYv359Jn4jLs4nT54Ew4cPD4YOHercPMN6sLkNpu6ePXuWqQewOnr16pWb5rXNZ3/84x+Dv/zlLy4fueCZP//5z+7qQxrQp08fZ3r27OncQgjxLlN0pWFZuGmppqbGXdmQA9gPHjyY2YSBgsA6Df6sv7Bpgw6bM6f+Bo5KYfDgwUGPHj2Cp0+furL36tUruHHjhisn9gULFoQhC+PEiRNB7969g+7du4c+rbA5BoWLKwKJep4yZcpbwikpPPf8+XO3UzcOK19H8ePJVTbqjTqjPM3NzW69mnLi79tfv37tNtD55IqTcCgOlM/qaOHChVnheHcIc4R4HHfv3nVXX9EgXvJBfgqBOD788EOncFy7di2YM2dORvmxd4uxd0q5sH/zzTeZ927huAohRDkoutLg7wgFRnN2HIZjUbbxgvPE7JL2j1Gx4Ykd0pW2YQdhhDBDAPXt29ftap48eXJGyJw7d84JFjp/DJ2/CQXfRBULE+QzZ84Mfd6A8GNEffjw4WDPnj1BQ0NDcP78eZeHQtIAhOWIESPcaDpOAPnlMwpNA/x48pUN4cnHTGwjFwL1zJkzrj7r6+uDmzdvOoXzgw8+eCtPueIk3LFjx5ydmQJ7Nz6nTp0KZsyY4ezMukQhzWg9YCcflK0QeO777793M2tHjhzJKGu8C8ra0tLiFOp/+7d/c37/8i//EvzHf/yHe473/te//tWFtzZAGCGEKDVlOz3B7AG7QW0Jwo5UccWNssFMBMIi7hjRuwqd9fHjx4OlS5eGPq3CBeHJiBUlyRc2GIQ7ZY+affv2hTG0gkAYNWpU6HobRquM3NlBS7xGIWkAis79+/fdLl3egy+A4soHhaYRjaetsiFIEdx8ZQ0BiuLJDvvTp08Hs2fPdmH8JQRoK07yjFKE4sFxI7+c+KM0MQvin282UEj8pQkf8nH79u3Q1RrWFCriYwmFK278uQ8nT5507R2Fw/x5FxwXxJAnys97RhEdM2aM+7gLoFCZXQghykXZlAaEEVPNdtzDZhMQeJw9BQSszUpUCrt27XJTxia06fgRbHTwlA3BxMjROnhfoERNdITODAJCkHvfffdd8Pnnn781E/D77787pcSnkDR8yGP0qFq0fEahaUTjyVc26uyXX35xAho7Mwssv7AEgP/o0aNduCi54ty9e3fW8gHt7Msvv8zsK+Ae7wuFh/0WKCf9+/d394y4pYlc+AoV8W3YsMFdcdtsEGkyA8Wsis2A/OMf/3BXlC4UJX4zLHX5yo0QQnQmZVMagNETygKKAUIEWLJgFF6JIJAQYIwOEQIIJ4RLVVVVZkTNejXlRpCBL1CiJjpCx2336urqgqampqw9B42NjU4AoqSwrGNCsJA0fCyvlAfiymcUkkZcPPnKRj7YtIhA9fOEcoS/1SXKhE+uOFFW9+/f7xQdIA+3bt1yM0EsSZBGvrPVPLdt27a3liYM8hG3nNEWv/76q1MmMNgBBeFvf/ubKy+zP75yI4QQnU66gy06/jlRsLOh+Bt2hrqQ86HvEhzJI/9mOOJ3/fr1rCN5QLjFixdnjvq1F+KxI4ScvbX07OheQ0ODu1co5NXKQBpGrvIVSpJ4/LKB766vr8+Exx93Wsg6v9ra2pzHQC0O6ietpLj6p57IA1fcVvbq6moXjjjJn59P3w/jv1sgffJheYzCff+bDz5+3Vu85IP8mD/l4Fn7TgTv3uyUz+IgnBBClJpu/El3OkJUHCyDsL8hbuNjueBUA/sv8s3gCCFEV0FKg6hYmMr/4osvgp07d2aOK5YTljlYhvrxxx8zSzpCCNGVKeueBiGKie1z4KhuuTcLkh6nfKQwCCHeJzTTIIQQQohEaKZBCCGEEImQ0iCEEEKIREhpEEIIIUQipDQIIYQQIhFSGoQQQgiRCCkNQgghhEiElAYhhBBCJEJKgxBCCCESkfVxJ/vvgUIIIYQQ0e8/6ouQQgghhEhAEPz/tY0a2ZZktswAAAAASUVORK5CYII=\" width=\"525\" height=\"537\"\u003e\u003c/p\u003e\n\u003cp\u003eNotes：A-SAT=The amount of SAT-chromosomes.P-SAT=The position of SAT-chromosomes\u003c/p\u003e \u003cp\u003eThe karyotypes of these species consist exclusively of metacentric (m) and submetacentric (sm) chromosomes. Additionally, differences were observed in the number and location of SAT chromosomes among different diploids. Accession No. T6, T9, T18, T22, T27 and T36 each had one pair of SAT chromosomes, whereas accession No. T25 had two pairs. Accession No. T6, T25, and T27, SAT were located on the submetacentric (sm) chromosome, whereas in the other four varieties, it was located on the metacentric (m) chromosome (Tables\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e and \u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe relative lengths of the chromosomes in the seven diploid accessions (No. T6, T9, T18, T22, T25, T27, T36) varied as follows: T6 had lengths ranging from 9.38\u0026ndash;14.87%, T9 from 9.30\u0026ndash;16.39%, T18 from 9.69\u0026ndash;15.80%, T22 from 9.79\u0026ndash;15.58%, T25from 9.08\u0026ndash;16.00%, T27 from 8.00\u0026ndash;15.20%, T36 from 9.84\u0026ndash;14.05%. The differences were noted in the ranges of relative length ranges among these accessions (Tables\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e and \u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe karyotype asymmetry coefficients of seven diploid chromosomes (No. T6, T9, T18, T22, T25, T27, T36) ranged as follows: T6 from 59.14\u0026ndash;61.23%, T9 from 61.00\u0026ndash;61.56%, T18 from 59.12\u0026ndash;59.65%, T22 from 59.70\u0026ndash;60.14%, T25 from 61.26\u0026ndash;62.08%, T27 from 61.39\u0026ndash;61.76%, T36 from 61.18\u0026ndash;61.94%. The highest coefficient was observed for No. T25 at 61.78%, whereas the lowest was No. T18 at 59.39%, resulting in a mean value of 60.76%. There were no significant differences between the different species (P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eKaryotype parameters of the seven somatic diploid and autotetraploid chromosomes\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"15\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eChromosomal\u003c/p\u003e \u003cp\u003enumber\u003c/p\u003e \u003cp\u003e(Ploidy level)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"12\" nameend=\"c15\" namest=\"c4\"\u003e \u003cp\u003eAccessions N0.\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c5\" namest=\"c3\"\u003e \u003cp\u003e\u003cb\u003eT6\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c8\" namest=\"c6\"\u003e \u003cp\u003e\u003cb\u003eT9\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c11\" namest=\"c9\"\u003e \u003cp\u003e\u003cb\u003eT18\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c14\" namest=\"c12\"\u003e \u003cp\u003e\u003cb\u003eT22\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eRL\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eAR\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003ePC\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eRL\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eAR\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003ePC\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRL\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAR\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003ePC\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003eRL\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c13\"\u003e \u003cp\u003eAR\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c14\"\u003e \u003cp\u003ePC\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e14.87\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.46\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e16.39\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e2.09\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e15.80\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.16\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e15.58\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.47\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e14.01\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.49\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e14.30\u0026thinsp;\u0026plusmn;\u0026thinsp;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.55\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e13.21\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.78\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e14.45\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.75\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e13.80\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.40\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e14.00\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.58\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e12.72\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.68\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e14.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.62\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003em\u003csup\u003e#\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e13.40\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.60\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e12.75\u0026thinsp;\u0026plusmn;\u0026thinsp;0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.30\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e12.68\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.38\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e12.78\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.31\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e5(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e12.23\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e11.67\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.50\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e12.64\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.54\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e11.46\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.41\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e11.70\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.36\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e11.58\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.59\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003em\u003csup\u003e\u003cb\u003e#\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e12.13\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.22\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003em\u003csup\u003e\u003cb\u003e#\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e11.09\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.28\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e7(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e10.59\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.76\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e10.01\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.51\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e11.14\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.34\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e10.53\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.43\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e8(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e9.38\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e2.07\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003esm\u003csup\u003e\u003cb\u003e#\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e9.30\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.78\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e9.69\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e2.18\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e9.79\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e2.09\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e15.51\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.41\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e14.72\u0026thinsp;\u0026plusmn;\u0026thinsp;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e2.08\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e16.35\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.41\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e16.70\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.23\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e14.97\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.39\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e14.26\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.59\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e14.451\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.75\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e14.73\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.76\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e14.41\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.26\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e14.17\u0026thinsp;\u0026plusmn;\u0026thinsp;.011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.66\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e12.47\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.34\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e13.89\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.39\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003em\u003csup\u003e\u003cb\u003e#\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e12.29\u0026thinsp;\u0026plusmn;\u0026thinsp;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.54\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e13.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.44\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e12.10\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.28\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e12.63\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.53\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e5(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e11.26\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.52\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e13.18\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.55\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e11.95\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.34\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e11.08\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.42\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e11.02\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e11.57\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.41\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003em\u003csup\u003e\u003cb\u003e#\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e11.82\u0026thinsp;\u0026plusmn;\u0026thinsp;0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.62\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003em\u003csup\u003e\u003cb\u003e#\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e11.01\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.46\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e7(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e10.45\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e1.78\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e9.99\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.26\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e11.45\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e1.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e10.92\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e1.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e8(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e10.07\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e2.11\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003esm\u003csup\u003e\u003cb\u003e#\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e8.80\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e \u003cp\u003e1.88\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e9.42\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c10\"\u003e \u003cp\u003e2.06\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c12\"\u003e \u003cp\u003e9.05\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c13\"\u003e \u003cp\u003e2.11\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"15\"\u003eNotes: RL\u0026thinsp;=\u0026thinsp;relative length (%); AR\u0026thinsp;=\u0026thinsp;arm ratio; PC\u0026thinsp;=\u0026thinsp;position of centromere; #= SAT chromosome. The same below.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eKaryotype parameters of No. T25, T27 and T36\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"11\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eChromosomal\u003c/p\u003e \u003cp\u003enumber\u003c/p\u003e \u003cp\u003e(Ploidy level)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"10\" nameend=\"c11\" namest=\"c2\"\u003e \u003cp\u003eAccessions N0.\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e \u003cp\u003e\u003cb\u003eT25\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c7\" namest=\"c5\"\u003e \u003cp\u003e\u003cb\u003eT27\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"4\" nameend=\"c11\" namest=\"c8\"\u003e \u003cp\u003e\u003cb\u003eT36\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eRL\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAR\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePC\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eRL\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eAR\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003ePC\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eRL\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eAR\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003ePC\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e16.00\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.62\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e15.20\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.55\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e14.05\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.61\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e15.24\u0026thinsp;\u0026plusmn;\u0026thinsp;0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.67\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e14.40\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.61\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e14.01\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.63\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e15.12\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.64\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e14.33\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.46\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e13.49\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.75\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e12.31\u0026thinsp;\u0026plusmn;\u0026thinsp;0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.65\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e13.81\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.58\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e12.67\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.49\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e5(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e12.07\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.95\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003esm \u003csup\u003e#\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e13.66\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.52\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e12.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.54\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e10.45\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e10.51\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.84\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e11.85\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.57\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e7(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e9.73\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.40\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e10.10\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e2.19\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003esm\u003csup\u003e#\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e11.60\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.46\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003em\u003csup\u003e\u003cb\u003e#\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e8(2x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e9.08\u0026thinsp;\u0026plusmn;\u0026thinsp;0.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e2.08\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003esm\u003csup\u003e#\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e8.00\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.60\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e9.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e2.07\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e15.71\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.46\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e14.43\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.64\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e17.82\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.44\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e14.97\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.52\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e14.36\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.62\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e15.91\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.45\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e14.15\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e14.04\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.52\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e14.07\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e2.05\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e13.73\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.67\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e13.88\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.51\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e11.00\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.53\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e5(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e13.51\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.93\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003esm\u003csup\u003e#\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e11.99\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.42\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e10.93\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.65\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e9.65\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.60\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e11.25\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.75\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e10.76\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.47\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003em\u003csup\u003e\u003cb\u003e#\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e7(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e9.56\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.66\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e11.02\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e2.07\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003esm\u003csup\u003e#\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e10.34\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.66\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e8(4x)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e8.72\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e2.06\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003esm\u003csup\u003e#\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e \u003cp\u003e9.03\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e \u003cp\u003e1.64\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003em\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e \u003cp\u003e9.17\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e1.84\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003esm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c11\" namest=\"c11\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eAccording to Stebbins' Classification Standard (1971), karyotype analysis of the seven diploid chromosomes showed that they all belonged to the 2A type (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eKaryotype evolution trend analysis\u003c/p\u003e\u003cp\u003eIt is generally believed that the trend of karyotype evolution changed from symmetry to asymmetry. In this experiment, the evolutionary degree of the tested tartary buckwheat was relatively evolved, among which No. T18 and T18* are the most primitive and No. T25 and T25* are the most evolved varieties, while the other varieties are in the middle (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Two independent samples t-tests showed that chromosome doubling had no effect on the evolutionary relationship of buckwheat (P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eCluster analysis\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe UPGMA method was used for clustering with Euclidean distance as a similar scale. The results (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e) indicated a genetic distance of 5. The seven varieties of tartary buckwheat were classified into two categories: three varieties of diploids (No. T6, T18 and T22) and four diploid varieties (No. T9, T25, T27 and T36).\u003c/p\u003e\u003cp\u003eWhen the separation was 25, all the varieties were clustered into one group. In general, the distance between No. T6, T18 and T22, as well as between T25 and T27, and between T9 and T36 varieties were relatively small. Their autotetraploids clustering results were consistent with those of the diploids (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e).\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eChanges of chromosome number and characteristics after doubling tartary buckwheat\u003c/p\u003e \u003cp\u003eAfter doubling the seven tartary buckwheat accessions, only the number of chromosomes and SAT doubled. The number of chromosomes was 32(2n\u0026thinsp;=\u0026thinsp;4x\u0026thinsp;=\u0026thinsp;32) and the karyotype formula was 2n\u0026thinsp;=\u0026thinsp;4x\u0026thinsp;=\u0026thinsp;32\u0026thinsp;=\u0026thinsp;24m\u0026thinsp;+\u0026thinsp;8sm (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The relative lengths also differed, but the karyotype asymmetry coefficient and clustering results did not change significantly (P\u0026thinsp;\u0026lt;\u0026thinsp;0.01). The morphologies, karyograms and idiograms of the different varieties (No. T6*, T9*, T18*, T22*, T25*, T27*, T36*) are shown in Figs.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e.\u003c/p\u003e \u003cp\u003eAccording to Stebbins\u0026rsquo; Karyotype Classification Standard (1971), karyotype analysis of the seven autotetraploids chromosomes showed that they all belonged to the 2A type (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e"},{"header":"Discussions","content":"\u003cp\u003eKaryotype of tartary buckwheat\u003c/p\u003e \u003cp\u003eIn this study, the number of the seven diploid and autotetraploid chromosomes were\u003cspan class=\"InlineEquation\"\u003e\u003c/span\u003e and \u003cspan class=\"InlineEquation\"\u003e\u003c/span\u003e, respectively. In addition, this study found that one pair of SAT chromosomes co-existed with two pairs in root tip cells and each of the six diploids (T6, T9, T18, T22, T27, T36) possessed one pair of SAT chromosomes, which was consistent with the results reported by Zhang et al. (\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2000\u003c/span\u003e) and Wang et al. (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2005\u003c/span\u003e). However, two diploids (T25, T39) consistently exhibited the presence of two pairs of SAT chromosomes, aligning with previous findings reported by Zhu et al. (1984), He et al. (1992), Lei et al. (2000), Chen (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2001\u003c/span\u003e), Yang et al. (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2010\u003c/span\u003e), and Sheng (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). Whereas six autotetraploids (T6*, T9*, T18*, T22*, T27*, T36*) had two pairs of SAT chromosomes, but the T25* and T39* had four pairs of SAT chromosomes. The autotetraploid SAT chromosomes and their number are reported for the first time.\u003c/p\u003e \u003cp\u003eIn terms of the karyotype formulas, the T9, T18, T22 and T36 were consistent with those reported by Zhang et al. (\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2000\u003c/span\u003e). The T25 and T39 were consistent with the karyotypes reported by Chen (2011) and Sheng (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). The T6 and T27 were consistent with those reported by Wang et al. (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2005\u003c/span\u003e). This study has not seen the results reported by Lei et al. (2000), namely \u003cspan class=\"InlineEquation\"\u003e\u003c/span\u003e and Yang et al. (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2010\u003c/span\u003e), namely, \u003cspan class=\"InlineEquation\"\u003e\u003c/span\u003e. The karyotype formulas of the seven autotetraploids (T6*, T9*, T18*, T22*, T25*, T27*, T36*) are reported for the first time.\u003c/p\u003e \u003cp\u003eThe number of the seven diploid and autotetraploid chromosomes were consistent with previous research result. However, there were differences in the number and location of SAT and karyotype formulas. It indicated genetic diversity at the chromosome level among different germplasm of tartary buckwheat. There were significant differences in the climate and soil environments of different regions, and regional plants have been adapting to environmental conditions for a long time. It may also be due to the accumulation of subtle changes such as gene deletion, inversion, translocation, and insertion during the recombination process of chromosomes, resulting in changes in the development of chromosome morphology and structure.\u003c/p\u003e \u003cp\u003eKaryotype changes after chromosome doubling\u003c/p\u003e \u003cp\u003eThe karyotype characteristics of the same crop with different ploidy are similar, for example, papaya (Wang et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2007\u003c/span\u003e), broccoli (Zhang et al., \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2010\u003c/span\u003e), Solanaceae (Melo et al., \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2011\u003c/span\u003e), non-heading Chinese cabbage (Zheng et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), small fruit watermelons (Yuan et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2013\u003c/span\u003e), goji berries (Gao et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThis study has further confirmed that the homologous tetraploid obtained by doubling the diploid of tartary buckwheat exhibited symmetrical karyotype characteristics with the corresponding diploid, and there are no changes in chromosomes and karyotype types. It is consistent with previous research results. Namely, the karyotype characteristics of the same crop with different ploidy are consistent.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u0026nbsp;\u003c/strong\u003eWe thank all researchers in the project for their dedication and hard work.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions\u003c/strong\u003e L.L. had the idea for and designed the study. L.L., P.Z., X.W., Y.Z., Q.C. did the statistical analysis. All authors contributed to acquisition, analysis, or interpretation of data. L.L. wrote the draft report. All authors revised the report and approved the final version before submission.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFundi\u003c/strong\u003e\u003cstrong\u003en\u003c/strong\u003e\u003cstrong\u003eg\u0026nbsp;\u003c/strong\u003eThe project was supported by The Special Fund Project for scientists in buckwheat breeding position of National Modern Agricultural Industrial Technology System (No. CARS-07-A5); Yunnan Science and Technology Major Project and Key Research and Development Program (No.202202AE090020); the Science and Technology Project of Bijie City (Bike Joint-[2023] No. 21), the Science and Technology Planning Project of Guizhou Province (QianKeHeZhiCheng-[2024]YiBan112).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and material\u003c/strong\u003e All data and materials mentioned in this article are available.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConf\u003c/strong\u003e\u003cstrong\u003el\u003c/strong\u003e\u003cstrong\u003eict of interest\u003c/strong\u003e The authors declare that there is no conflict of commercial interest related to this paper.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u0026nbsp;\u003c/strong\u003eThe authors declare that there are Consent for publication.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOpen Access\u0026nbsp;\u003c/strong\u003eThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article\u0026rsquo;s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article\u0026rsquo;s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eArano, H. (1964). Cytotaxonomic studies in subfam. Carduoideae of Japanese Compositae. XI. The karyotype analysis in some species of Artemisia. \u003cem\u003eKromosomo\u003c/em\u003e \u003cstrong\u003e57\u003c/strong\u003e.\u003c/li\u003e\n\u003cli\u003eCarlos, R. Z. (1986). A New Method for Estimating Karyotype Asymmetry. \u003cem\u003eTAXON\u003c/em\u003e \u003cstrong\u003e35,\u003c/strong\u003e 526-530.\u003c/li\u003e\n\u003cli\u003eChen, Q. F. (2001). Karyotype analysis of five Fagopyrum species native to China. \u003cem\u003eGuihaia\u003c/em\u003e \u003cstrong\u003e21,\u003c/strong\u003e 107-110.\u003c/li\u003e\n\u003cli\u003eDu, X., Chen, M. Y., Liu, P. \u0026amp;Xu, G. D. (2005). Karyotype Analysis of Two Buckwheat Variety Chromosomes. \u003cem\u003eSubtropical Plant Science\u003c/em\u003e \u003cstrong\u003e34,\u003c/strong\u003e 36-38.\u003c/li\u003e\n\u003cli\u003eGao, F. H., He, L. J., Chen, H. J., Liu, J. W., Shan, Y. M., Wang, W. J.\u003cem\u003e, et al.\u003c/em\u003e (2020). Chromosome doubling and polyploid karyotype analysis of wild Lycium ruthenium. \u003cem\u003eMolecular Plant Breeding\u003c/em\u003e \u003cstrong\u003e18,\u003c/strong\u003e 7522-7529.\u003c/li\u003e\n\u003cli\u003eHe, F. F. (1992). Karyotype analysis of buckwheat. \u003cem\u003eJournal of Southwest Agricultural University\u003c/em\u003e \u003cstrong\u003e14,\u003c/strong\u003e 522-523.\u003c/li\u003e\n\u003cli\u003eKim, W. C., Kim, H. R. \u0026amp;Ahn, S. M., Kweon (2023). Species differentiation of two cultivar species in Fagopyrum (Polygonaceae). \u003cem\u003eCytologia : International journal of cytology\u003c/em\u003e \u003cstrong\u003e88,\u003c/strong\u003e 379-385.\u003c/li\u003e\n\u003cli\u003eLei, b.Jing, R. Z. (2000). Studies on the karyotype of chromosomes of buckwheats. \u003cem\u003eJournal of Sichuan University\u003c/em\u003e \u003cstrong\u003e37,\u003c/strong\u003e 142-143.\u003c/li\u003e\n\u003cli\u003eLevan, A. F., K.; Sandeberg, A. (1964). Nomenclature for centromeric position on chromosomes. \u003cem\u003eHereditas\u003c/em\u003e \u003cstrong\u003e52,\u003c/strong\u003e 201-220.\u003c/li\u003e\n\u003cli\u003eLi, M. X.Chen, R. Y. (1985). A suggestion on the standardization of karyotype analysis in plants. \u003cem\u003eJournal of Wuhan Botanical Research\u003c/em\u003e \u003cstrong\u003e3,\u003c/strong\u003e 297-302.\u003c/li\u003e\n\u003cli\u003eLin, R. F. (2004). The Development and Utilization of Tartary Buckwheat Resources. \u003cem\u003eIn\u003c/em\u003e \u0026quot;Proceedings of the 9 International Symposium on Buckwheat\u0026quot;, pp. 252-258.\u003c/li\u003e\n\u003cli\u003eLiu, J. L., Tang, Y., Shao, J. R., Luo, Q. \u0026amp;Sun, J. X. (2009). Karyotypic Studies of Two Wild Buckwheat Species in the Fagopyrum Mill. \u003cem\u003eJounal of Northwest Botany\u003c/em\u003e \u003cstrong\u003e29,\u003c/strong\u003e 1798-1803.\u003c/li\u003e\n\u003cli\u003eMelo, C. A. F., Martins, M. I. G., Oliveira, M. B. M., Benko-Iseppon, A. M. \u0026amp;Carvalho, R. (2011). Karyotype analysis for diploid and polyploid species of the Solanum L. \u003cem\u003ePlant Systematics and Evolution\u003c/em\u003e \u003cstrong\u003e293,\u003c/strong\u003e 227-235.\u003c/li\u003e\n\u003cli\u003eMorris, M. R. (1951). Cytogenetic studies on buckwheat. \u003cem\u003eJournal of Heredity\u003c/em\u003e \u003cstrong\u003e42,\u003c/strong\u003e 85-89.\u003c/li\u003e\n\u003cli\u003eSheng, M. Y. (2013). Physical mapping of the 45S and 5SrDNA of cultivated buckwheat. \u003cem\u003eJournal of Plant Genetic Resources\u003c/em\u003e \u003cstrong\u003e14,\u003c/strong\u003e 317-321.\u003c/li\u003e\n\u003cli\u003eShi, J. Q., Li, Y. Q., Zhang, Z. W., Wu, B. \u0026amp;Wang, A. H. (2016). Analysis of karyotypes and evolutionary features of wild buckwheat species of buckwheat. \u003cem\u003eJournal of Plant Genetic Resources\u003c/em\u003e \u003cstrong\u003e17,\u003c/strong\u003e 455-460.\u003c/li\u003e\n\u003cli\u003eSuresh, N., Tamaki, H., Junichi, W., Kazumi, T., Hiroko, K. \u0026amp;Shigeru, S. (2011). Karyotype analysis of buckwheat using atomic force microscopy. \u003cem\u003eMicroscopy and Microanalysis\u003c/em\u003e \u003cstrong\u003e17,\u003c/strong\u003e 572-577.\u003c/li\u003e\n\u003cli\u003eWang, J. S., Chai, Y., Zhao, X. T. \u0026amp;JI, W. Q. (2005). Karyotype Analysis of Chinese Buckwheat Cultivars. \u003cem\u003eActa Botanica Boreali-Occidentalia Sinica\u003c/em\u003e \u003cstrong\u003e25,\u003c/strong\u003e 1114-1117.\u003c/li\u003e\n\u003cli\u003eWang, W. X., Li, C. Y., Xiang, S. Q. \u0026amp;Liang, G. L. (2007). Karyotypes Analysis and 45S rDNA-FISH of the Tetraploid and Diploid in Carica papaya L. \u003cem\u003eActa Horticulturae Sinica\u003c/em\u003e \u003cstrong\u003e34,\u003c/strong\u003e 345-348.\u003c/li\u003e\n\u003cli\u003eYang, X. Y., Wu, Z. F., Chen, H., Shao, J. R. \u0026amp;Wu, Q. (2010). Karyotype and genetic relationship based on RAPD markers of six wild buckwheat species (Fagopyrum spp.) from southwest of China. \u003cem\u003eGenetic Resources and Crop Evolution\u003c/em\u003e \u003cstrong\u003e57,\u003c/strong\u003e 649-655.\u003c/li\u003e\n\u003cli\u003eYuan, J. M., Dang, X. M., Zhan, Y. F., Li, Y. R., Dan, Z., Yang, C. K.\u003cem\u003e, et al.\u003c/em\u003e (2013). Karyotype analysis of diploid and autotetraploid mini-watermelon. \u003cem\u003eNorthern Horticulture\u003c/em\u003e\u003cstrong\u003e,\u003c/strong\u003e 40-43.\u003c/li\u003e\n\u003cli\u003eZhang, H. M., Zhang, S. N., Yu, X. H. \u0026amp;Hou, X. L. (2010). Karyotype Analysis of Autotetraploid Broccoli. \u003cem\u003eActa Botanica Boreali-Occidentalia Sinica\u003c/em\u003e \u003cstrong\u003e30,\u003c/strong\u003e 63-67.\u003c/li\u003e\n\u003cli\u003eZhang, H. Z., Guan, Z. X., Liu, X. Y. \u0026amp;Liu, Y. H. (2000). Karyotype analysis of\u003cem\u003e F. exculetum\u003c/em\u003e and\u003cem\u003e F. tataricum\u003c/em\u003e. \u003cem\u003eJournal of Inner Mongolia Agricultural University (Natural Science Edition)\u003c/em\u003e \u003cstrong\u003e21,\u003c/strong\u003e 69-74.\u003c/li\u003e\n\u003cli\u003eZheng, J. S., Zhang, S. N., Sun, C. Z., Wang, J. J. \u0026amp;Hou, X. L. (2012). Karyotype analysis of diploid and autotetraploid non-heading Chinese cabbage. \u003cem\u003eJournal of Nanjing Agricultural University\u003c/em\u003e \u003cstrong\u003e35,\u003c/strong\u003e 131-134.\u003c/li\u003e\n\u003cli\u003eZhou, M. L., Bai, D. Q., Tang, Y., Zhu, X. M. \u0026amp;Shao, J. R. (2012). Genetic diversity of four new species related to southwestern Sichuan buckwheats as revealed by karyotype, ISSR and allozyme characterization. \u003cem\u003ePlant Systematics and Evolution\u003c/em\u003e \u003cstrong\u003e298,\u003c/strong\u003e 751-759.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"genetic-resources-and-crop-evolution","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"gres","sideBox":"Learn more about [Genetic Resources and Crop Evolution](https://www.springer.com/journal/10722)","snPcode":"10722","submissionUrl":"https://submission.nature.com/new-submission/10722/3","title":"Genetic Resources and Crop Evolution","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Tartary buckwheat, Diploid, Autotraploid, Karyotype analysis","lastPublishedDoi":"10.21203/rs.3.rs-5477581/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5477581/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eDiploid and autotetid taraplortary buckwheat cultivars were used to conduct a karyotype study using the conventional squash method, establishing a reference for polyploid breeding. In the present study, the seven cultivars exhibited similar karyotypic features in both diploid and autotetraploid accessions. The diploid chromosome number was 2n\u0026thinsp;=\u0026thinsp;2x\u0026thinsp;=\u0026thinsp;16, whereas it was 2n\u0026thinsp;=\u0026thinsp;2x\u0026thinsp;=\u0026thinsp;32 in the autotetraploid accessions. No. T6, T9, T18, T22, T27 and T36 contained one pair of SAT chromosomes, whereas No. T25 had two pairs. Compared with diploids, the total number of chromosomes and SAT chromosomes doubled in autotetraploids. However, the karyotype asymmetry coefficient for the seven diploids ranged from 59.38\u0026ndash;61.78%, and for the autotetraploids, it ranged from 59.73\u0026ndash;61.76%. Additionally, the karyotype of autotetraploids remained unchanged in 2A type cases. Chromosome doubling did not affect the evolutionary relationship or clustering of tartary buckwheat (P\u0026thinsp;\u0026lt;\u0026thinsp;0.01). The karyotypes and chromosome numbers of these seven autotetraploid cultivars have been reported for the first time.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e","manuscriptTitle":"Karyotype analysis of diploid and autotetraploid of seven tartary buckwheat cultivars in China","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-12-24 16:53:47","doi":"10.21203/rs.3.rs-5477581/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-12-16T15:34:16+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-12-16T12:29:09+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"209021221243337147672315959880452211854","date":"2024-12-11T10:24:52+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-11-27T13:42:11+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"291927664721850723549709213576564572011","date":"2024-11-26T21:07:26+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-11-23T07:42:33+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-11-20T15:01:37+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-11-20T15:00:10+00:00","index":"","fulltext":""},{"type":"submitted","content":"Genetic Resources and Crop Evolution","date":"2024-11-18T16:10:09+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"genetic-resources-and-crop-evolution","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"gres","sideBox":"Learn more about [Genetic Resources and Crop Evolution](https://www.springer.com/journal/10722)","snPcode":"10722","submissionUrl":"https://submission.nature.com/new-submission/10722/3","title":"Genetic Resources and Crop Evolution","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"f4614f01-a5a5-4c8e-8423-f0ad13def15e","owner":[],"postedDate":"December 24th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-03-03T16:02:04+00:00","versionOfRecord":{"articleIdentity":"rs-5477581","link":"https://doi.org/10.1007/s10722-025-02341-y","journal":{"identity":"genetic-resources-and-crop-evolution","isVorOnly":false,"title":"Genetic Resources and Crop Evolution"},"publishedOn":"2025-02-25 15:57:52","publishedOnDateReadable":"February 25th, 2025"},"versionCreatedAt":"2024-12-24 16:53:47","video":"","vorDoi":"10.1007/s10722-025-02341-y","vorDoiUrl":"https://doi.org/10.1007/s10722-025-02341-y","workflowStages":[]},"version":"v1","identity":"rs-5477581","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5477581","identity":"rs-5477581","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}