J Integr Plant Biol. ›› 2014, Vol. 56 ›› Issue (2): 159-169.DOI: 10.1111/jipb.12132

• Molecular Physiology • Previous Articles     Next Articles

Diversity characterization and association analysis of agronomic traits in a Chinese peanut (Arachis hypogaea L.) mini-core collection

Huifang Jiang1†, Li Huang1†, Xiaoping Ren1, Yuning Chen1, Xiaojing Zhou1, Youlin Xia2, Jiaquan Huang1, Yong Lei1, Liying Yan1, Liyun Wan1 and Boshou Liao1*   

  1. 1Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
    2Nanchong Academy of Agricultural Sciences, Nanchong, China
  • Received:2013-08-04 Accepted:2013-11-06 Published:2014-01-23
  • About author:These authors contributed equally to this work.
    *Correspondence: E-mail: lboshou@hotmail.com


Association mapping is a powerful approach for exploring the molecular basis of phenotypic variations in plants. A peanut (Arachis hypogaea L.) mini-core collection in China comprising 298 accessions was genotyped using 109 simple sequence repeat (SSR) markers, which identified 554 SSR alleles and phenotyped for 15 agronomic traits in three different environments, exhibiting abundant genetic and phenotypic diversity within the panel. A model-based structure analysis assigned all accessions to three groups. Most of the accessions had the relative kinship of less than 0.05, indicating that there were no or weak relationships between accessions of the mini-core collection. For 15 agronomic traits in the peanut panel, generally the Q + K model exhibited the best performance to eliminate the false associated positives compared to the Q model and the general linear model-simple model. In total, 89 SSR alleles were identified to be associated with 15 agronomic traits of three environments by the Q + K model-based association analysis. Of these, eight alleles were repeatedly detected in two or three environments, and 15 alleles were commonly detected to be associated with multiple agronomic traits. Simple sequence repeat allelic effects confirmed significant differences between different genotypes of these repeatedly detected markers. Our results demonstrate the great potential of integrating the association analysis and marker-assisted breeding by utilizing the peanut mini-core collection.

Jiang H, Huang L, Ren X, Chen Y, Zhou X, Xia Y, Huang J, Lei Y, Yan L, Wan L, Liao B (2014) Diversity characterization and association analysis of agronomic traits in a Chinese peanut (Arachis hypogaea L.)
mini‐core collection. J Integr Plant Biol 56: 159–169. doi: 10.1111/jipb.12132

Key words: Arachis hypogaea L., association analysis, mini-core collection, peanut

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