Unraveling the Complex Trait of Crop Yield With Quantitative Trait Loci Mapping in Brassica napus
文献类型： 外文期刊
作者： Shi, Jiaqin 1 ; Li, Ruiyuan 1 ; Qiu, Dan 1 ; Jiang, Congcong 1 ; Long, Yan 1 ; Morgan, Colin 2 ; Bancroft, Ian 2 ; Zhao, 1 ;
作者机构： 1.Huazhong Agr Univ, Natl Key Lab Crop Genet Improvement, Wuhan 430070, Peoples R China
2.John Innes Ctr, Norwich NR4 7UH, Norfolk, England
3.Zhejiang Acad Agr Sci, Hangzhou 310021, Zhejiang, Peoples R China
期刊名称：GENETICS （ 影响因子：4.562； 五年影响因子：4.845 ）
ISSN： 0016-6731
年卷期： 2009 年 182 卷 3 期
页码：
收录情况： SCI
摘要： Yield is the most important and complex trait for the genetic improvement of crops. Although much research into the genetic basis of yield and yield-associated traits lifts been reported, in each such experiment the genetic architecture and determinants of yield have remained ambiguous. One of the most intractable problems is the interaction between genes and the environment. We identified 85 quantitative trait loci (QTL) for seed yield along with 785 QTL for eight yield-associated traits, from 10 natural environments and two related populations of rapeseed. A trait-by-trait meta-analysis revealed 401 consensus QTL, of which 82.5% were clustered mid integrated into 111 pleiotropic unique QTL by meta-analysis 47 of which were relevant. for seed yield. The complexity of the genetic architecture of yield was demonstrated, illustrating the pleiotropy, synthesis, variability, and plasticity of yield QTL. The idea of estimating indicator QTL for yield QTL and identifying potential candidate genes for yield provides an advance in methodology for complex traits.
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