首页> 外文期刊>Theoretical and Applied Genetics: International Journal of Breeding Research and Cell Genetics >Dissecting the genetics underlying the relationship between protein content and grain yield in a large hybrid wheat population
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Dissecting the genetics underlying the relationship between protein content and grain yield in a large hybrid wheat population

机译:将遗传学抑制蛋白质含量与大型杂交小麦群体之间的关系

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Key messageAdditive and dominance effect QTL for grain yield and protein content display antagonistic pleiotropic effects, making genomic selection based on the index grain protein deviation a promising method to alleviate the negative correlation between these traits in wheat breeding.AbstractGrain yield and quality-related traits such as protein content and sedimentation volume are key traits in wheat breeding. In this study, we used a large population of 1604 hybrids and their 135 parental components to investigate the genetics and metabolomics underlying the negative relationship of grain yield and quality, and evaluated approaches for their joint improvement. We identified a total of nine trait-associated metabolites and show that prediction using genomic data alone resulted in the highest prediction ability for all traits. We dissected the genetic architecture of grain yield and quality-determining traits and show results of the first mapping of the derived trait grain protein deviation. Further, we provide a genetic analysis of the antagonistic relation of grain yield and protein content and dissect the mode of gene action (pleiotropy vs linkage) of identified QTL. Lastly, we demonstrate that the composition of the training set for genomic prediction is crucial when considering different quality classes in wheat breeding.
机译:关键词和占优势效应QTL用于谷物产量和蛋白质含量显示拮抗性血液效应,使基因组选择基于指数粒蛋白质偏差的有希望的方法来缓解小麦育种的这些性状与质量相关的特征之间的负相关方法由于蛋白质含量和沉降体积是小麦育种的关键性状。在这项研究中,我们使用了大量的1604个杂种及其135个父母成分,以研究谷物产量和质量的负面关系的遗传和代谢组,以及评估其联合改善的方法。我们鉴定了总共九个性状相关的代谢物,并显示了使用基因组数据的预测导致所有特征的最高预测能力。我们解剖了粮食产量和质量测定特征的遗传架构,并显示出衍生性状粒蛋白偏差的第一映射的结果。此外,我们提供谷物产量和蛋白质含量的拮抗关系的遗传分析,并剖析鉴定的QTL的基因作用(Pleiotropy Vs Linkage)的模式。最后,我们证明了在考虑小麦育种中不同质量课程时,基因组预测的训练组成至关重要。

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