NDLI: Genetic analysis and characterization of a new maize association mapping panel for quantitative trait loci dissection

Content Provider	Springer Nature Link
Author	Yang, Xiaohong Yan, Jianbing Shah, Trushar Warburton, Marilyn L. Li, Qing Li, Lin Gao, Yufeng Chai, Yuchao Fu, Zhiyuan Zhou, Yi Xu, Shutu Bai, Guanghong Meng, Yijiang Zheng, Yanping Li, Jiansheng
Copyright Year	2010
Abstract	Association mapping based on the linkage disequilibrium provides a promising tool to identify genes responsible for quantitative variations underlying complex traits. Presented here is a maize association mapping panel consisting of 155 inbred lines with mainly temperate germplasm, which was phenotyped for 34 traits and genotyped using 82 SSRs and 1,536 SNPs. Abundant phenotypic and genetic diversities were observed within the panel based on the phenotypic and genotypic analysis. A model-based analysis using 82 SSRs assigned all inbred lines to two groups with eight subgroups. The relative kinship matrix was calculated using 884 SNPs with minor allele frequency ≥20% indicating that no or weak relationships were identified for most individual pairs. Three traits (total tocopherol content in maize kernel, plant height and kernel length) and 1,414 SNPs with missing data <20% were used to evaluate the performance of four models for association mapping analysis. For all traits, the model controlling relative kinship (K) performed better than the model controlling population structure (Q), and similarly to the model controlling both population structure and relative kinship (Q + K) in this panel. Our results suggest this maize panel can be used for association mapping analysis targeting multiple agronomic and quality traits with optimal association model.
Starting Page	417
Ending Page	431
Page Count	15
File Format	PDF
ISSN	00405752
Journal	Theoretical and Applied Genetics
Volume Number	121
Issue Number	3
e-ISSN	14322242
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-03-27
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Biotechnology Biochemistry Plant Biochemistry Agriculture Plant Genetics & Genomics Plant Breeding/Biotechnology
Content Type	Text
Resource Type	Article
Subject	Genetics Medicine Biotechnology Agronomy and Crop Science

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