NDLI: Association Mapping for Fiber-Related Traits and Digestibility in Alfalfa (Medicago sativa)

Content Provider	PubMed Central
Author	Wang, Zan Qiang, Haiping Zhao, Haiming Xu, Ruixuan Zhang, Zhengli Gao, Hongwen Wang, Xuemin Liu, Guibo Zhang, Yingjun
Copyright Year	2016
Abstract	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.
Related Links	http://dx.doi.org/10.3389/fpls.2016.00331
Starting Page	331
File Format	PDF
ISSN	1664462X
e-ISSN	1664462X
Journal	Frontiers in Plant Science
Volume Number	7
Language	English
Publisher	Frontiers Media S.A.
Publisher Date	2016-03-18
Access Restriction	Open
Rights Holder	Frontiers Media S.A.
Subject Keyword	Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Plant Science

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Association Mapping for Fiber-Related Traits and Digestibility in Alfalfa (Medicago sativa)

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