Genome-Wide Analysis of Grain Yield Stability and Environmental Interactions in a Multiparental Soybean Population.
Genome-Wide Analysis of Grain Yield Stability and Environmental Interactions in a Multiparental Soybean Population.
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DOI：
10.1534/g3.117.300300
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发表时间：
2018-02-02
期刊：
影响因子：
--
通讯作者：
Rainey KM
中科院分区：
文献类型：
--
作者：
Xavier A;Jarquin D;Howard R;Ramasubramanian V;Specht JE;Graef GL;Beavis WD;Diers BW;Song Q;Cregan PB;Nelson R;Mian R;Shannon JG;McHale L;Wang D;Schapaugh W;Lorenz AJ;Xu S;Muir WM;Rainey KM
从粮食安全角度出发，对大豆品种的农艺性状进行优化和稳定的遗传改良是十分必要的。了解基因类型在不同环境条件下的表现有助于育种者开发适应目标地区的可持续品种。众所周知，重要的复杂性状由大量影响较小的基因组区域控制，这些区域的大小和方向受环境因素的调节。了解由环境互作引起的基因型的制约和不良影响是改进大豆育种中选择程序的一个关键目标。在这项研究中，本研究探讨了大豆籽粒产量对环境因素反应的遗传基础。为此，实现了全基因组与芬利-威尔金森分析产生的性能稳定性估计的关联，并纳入了标记基因类型和环境因素之间的相互作用。利用最近发表的多亲本模型，通过分析和荟萃分析来研究基因组足迹。结果表明，大豆基因组的特定区域与稳定性有关，环境和遗传背景之间存在多重互作。6条染色体上的7个基因组区域被鉴定为与不同环境间的基因互作相关。这项研究提供了旨在实现更稳定的大豆农艺表现的基因组辅助育种的洞察力，并记录了利用与环境和亚群体相互作用特别相关的基因组区域的机会。
Genetic improvement toward optimized and stable agronomic performance of soybean genotypes is desirable for food security. Understanding how genotypes perform in different environmental conditions helps breeders develop sustainable cultivars adapted to target regions. Complex traits of importance are known to be controlled by a large number of genomic regions with small effects whose magnitude and direction are modulated by environmental factors. Knowledge of the constraints and undesirable effects resulting from genotype by environmental interactions is a key objective in improving selection procedures in soybean breeding programs. In this study, the genetic basis of soybean grain yield responsiveness to environmental factors was examined in a large soybean nested association population. For this, a genome-wide association to performance stability estimates generated from a Finlay-Wilkinson analysis and the inclusion of the interaction between marker genotypes and environmental factors was implemented. Genomic footprints were investigated by analysis and meta-analysis using a recently published multiparent model. Results indicated that specific soybean genomic regions were associated with stability, and that multiplicative interactions were present between environments and genetic background. Seven genomic regions in six chromosomes were identified as being associated with genotype-by-environment interactions. This study provides insight into genomic assisted breeding aimed at achieving a more stable agronomic performance of soybean, and documented opportunities to exploit genomic regions that were specifically associated with interactions involving environments and subpopulations.
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影响因子：
3.7
作者：
Guevara DR;El-Kereamy A;Yaish MW;Mei-Bi Y;Rothstein SJ
通讯作者：
Rothstein SJ
影响因子：
2
作者：
Githiri, S. M.;Watanabe, S.;Takahashi, R.
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Takahashi, R.
影响因子：
14.9
作者：
Grant D;Nelson RT;Cannon SB;Shoemaker RC
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Shoemaker RC
影响因子：
3.3
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Boer, Martin P.;Wright, Deanne;van Eeuwijk, Fred A.
通讯作者：
van Eeuwijk, Fred A.
影响因子：
2.3
作者：
Gauch, Hugh G., Jr.
通讯作者：
Gauch, Hugh G., Jr.