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Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes

机译:不同水分状况下小麦农艺性状的遗传及关联图谱研究

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Genetic analyses and association mapping were performed on a winter wheat core collection of 96 accessions sampled from a variety of geographic origins. Twenty-four agronomic traits were evaluated over 3 years under fully irrigated, rainfed and drought treatments. Grain yield was the most sensitive trait to water deficit and was highly correlated with above-ground biomass per plant and number of kernels per m2. The germplasm was structured into four subpopulations. The association of 46 SSR loci distributed throughout the wheat genome with yield and agronomic traits was analyzed using a general linear model, where subpopulation information was used to control false-positive or spurious marker-trait associations (MTAs). A total of 26, 21 and 29 significant (P 0.001) MTAs were identified in irrigated, rainfed and drought treatments, respectively. The marker effects ranged from 14.0 to 50.8%. Combined across all treatments, 34 significant (P 0.001) MTAs were identified with nine markers, and R2 ranged from 14.5 to 50.2%. Marker psp3200 (6DS) and particularly gwm484 (2DS) were associated with many significant MTAs in each treatment and explained the greatest proportion of phenotypic variation. Although we were not able to recognize any marker related to grain yield under drought stress, a number of MTAs associated with developmental and agronomic traits highly correlated with grain yield under drought were identified.
机译:遗传分析和关联作图是对从不同地理来源取样的96种种质的冬小麦核心样品进行的。在充分灌溉,雨水和干旱的条件下,三年内评估了二十四个农艺性状。粮食产量是缺水最敏感的特征,与单株地上生物量和每m 2 的籽粒数量高度相关。种质被分为四个亚群。使用通用线性模型分析了分布在整个小麦基因组中的46个SSR基因座与产量和农艺性状的关联,其中亚种群信息用于控制假阳性或假性标记-性状关联(MTA)。在灌溉,雨养和干旱处理中分别鉴定出26种,21种和29种显着的MTA(P <0.001)。标记物的作用范围为14.0至50.8%。结合所有治疗方法,使用9个标记物鉴定出34种显着(P <0.001)MTA,R 2 范围为14.5至50.2%。标记psp3200(6DS),尤其是gwm484(2DS)与每种治疗中的许多重要MTA相关,并解释了最大的表型变异比例。尽管我们无法识别与干旱胁迫下谷物产量相关的任何标记,但已鉴定出许多与干旱胁迫下谷物产量高度相关的发育和农艺性状的MTA。

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