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首页> 外文期刊>Journal of genetics >Population structure and association mapping studies for important agronomic traits in soybean
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Population structure and association mapping studies for important agronomic traits in soybean

机译：大豆重要农艺性状的种群结构和关联作图研究

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The present study was carried out with a set of 96 diverse soybean genotypes with the objectives of analysing the population structure and to identify molecular markers associated with important agronomic traits. Large phenotypic variability was observed for the agronomic traits under study indicating suitability of the genotypes for association studies. The maximum values for plant height, pods per plant, seeds per pod, 100-seed weight and seed yield per plant were approximately two and half to three times more than the minimum values for the genotypes. Seed yield per plant was found to be significantly correlated with pods per plant (r = 0.77), 100-seed weight (r = 0.35) and days to maturity (r = 0.23). The population structure studies depicted the presence of seven subpopulations which nearly corresponded with the source of geographical origin of the genotypes. Linkage disequilibrium (LD) between the linked markers decreased with the increased distance, and a substantial drop in LD decay values was observed between 30 and 35 cM. Genomewide marker-traits association analysis carried out using general linear (GLM) and mixed linear models (MLM) identified six genomic regions (two of them were common in both) on chromosomes 6, 7, 8, 13, 15 and 17, which were found to be significantly associated with various important traits viz., plant height, pods per plant, 100-seed weight, plant growth habit, average number of seeds per pod, days to 50% flowering and days to maturity. The phenotypic variation explained by these loci ranged from 6.09 to 13.18% and 4.25 to 9.01% in the GLM and MLM studies, respectively. In conclusion, association mapping (AM) in soybean could be a viable alternative to conventional QTL mapping approach.
机译：本研究以一组96种不同的大豆基因型进行，目的是分析种群结构并鉴定与重要农艺性状相关的分子标记。在所研究的农艺性状上观察到较大的表型变异性，表明该基因型适用于关联研究。株高，每株荚，每株种子，100粒重和每株种子产量的最大值约为基因型最小值的两倍和三至三倍。发现每株植物的种子产量与每株豆荚（r = 0.77），100粒重（r = 0.35）和成熟天数（r = 0.23）显着相关。人口结构研究描绘了七个亚群的存在，这些亚群与基因型的地理起源几乎相符。连锁标记之间的连锁不平衡（LD）随着距离的增加而减小，并且在30至35 cM之间观察到LD衰减值大幅下降。使用通用线性（GLM）和混合线性模型（MLM）进行的全基因组标记-性状关联分析确定了6、7、8、13、15和17号染色​​体上的六个基因组区域（两个区域中共有两个）。被发现与多种重要性状显着相关，即植物高度，每株豆荚，100粒重，植物生长习性，每株荚平均种子数，开花至50％的天数和成熟日。在GLM和MLM研究中，这些位点解释的表型变异分别为6.09％至13.18％和4.25％至9.01％。总之，大豆中的关联图谱（AM）可以替代传统的QTL映射方法。

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