Association Mapping for Fiber-Related Traits and Digestibility in Alfalfa (Medicago sativa)
文献类型： 外文期刊
作者： Wang, Zan 1 ; Qiang, Haiping 1 ; Zhao, Haiming 2 ; Xu, Ruixuan 3 ; Zhang, Zhengli 1 ; Gao, Hongwen 1 ; Wang, Xuemin 1 ; L 1 ;
作者机构： 1.Chinese Acad Agr Sci, Inst Anim Sci, Beijing, Peoples R China
2.Hebei Acad Agr & Forestry, Inst Dry Farming, Hengschui, Peoples R China
3.China Agr Univ, Dept Grassland Sci, Beijing, Peoples R China
关键词： alfalfa; association mapping; fiber-related traits; Simple sequence repeat (SSR)
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：5.753； 五年影响因子：6.612 ）
ISSN： 1664-462X
年卷期： 2016 年 7 卷
页码：
收录情况： SCI
摘要： Association mapping is a powerful approach for exploring the molecular genetic basis of complex quantitative traits. An alfalfa (Medicago sativa) association panel comprised of 336 genotypes from 75 alfalfa accessions represented by four to eight genotypes for each accession. Each genotype was genotyped using 85 simple sequence repeat (SSR) markers and phenotyped for five fiber-related traits in four different environments. A model-based structure analysis was used to group all genotypes into two groups. Most of the genotypes have a low relative kinship (<0.3), suggesting population stratification not be an issue for association analysis. Generally, the Q + K model exhibited the best performance to eliminate the false associated positives. In total, 124 marker-trait associations were predicted (p < 0.005). Among these, eight associations were predicted in two environments repeatedly and 20 markers were predicted to be associated with multiple traits. These trait-associated markers will greatly help marker-assisted breeding programs to improve fiber-related quality traits in alfalfa.
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