Theoretical and Applied Genetics

, Volume 121, Issue 3, pp 417–431

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

Authors

  • Xiaohong Yang
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
    • International Maize and Wheat Improvement Center (CIMMYT)
  • Trushar Shah
    • International Maize and Wheat Improvement Center (CIMMYT)
    • International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)
  • Marilyn L. Warburton
    • USDA-ARS Corn Host Plant Resistance Research Unit
  • Qing Li
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
  • Lin Li
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
  • Yufeng Gao
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
  • Yuchao Chai
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
  • Zhiyuan Fu
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
  • Yi Zhou
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
  • Shutu Xu
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
  • Guanghong Bai
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
    • Agronomy CollegeXinjiang Agricultural University
  • Yijiang Meng
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
  • Yanping Zheng
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
    • National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural University
Original Paper

DOI: 10.1007/s00122-010-1320-y

Cite this article as:
Yang, X., Yan, J., Shah, T. et al. Theor Appl Genet (2010) 121: 417. doi:10.1007/s00122-010-1320-y

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.

Supplementary material

122_2010_1320_MOESM1_ESM.doc (590 kb)
Supplementary material 1 (DOC 589 kb)

Copyright information

© Springer-Verlag 2010