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Acta Agron Sin ›› 2014, Vol. 40 ›› Issue (01): 7-16.doi: 10.3724/SP.J.1006.2014.00007

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Correlation and Association Analysis between Biomass and Yield Components in Soybean

CHAO Mao-Ni1,**,HAO De-Rong2,**,YIN Zhi-Tong3,ZHANG Jin-Yu1,SONG Hai-Na1,ZHANG Huai-Ren1,CHU Shan-Shan1,ZHANG Guo-Zheng1,YU De-Yue1,*   

  1. 1 National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China; 2 Jiangsu Yanjiang Institute of Agricultural Sciences, Nantong 226541, China; 3 Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China
  • Received:2013-06-05 Revised:2013-09-16 Online:2014-01-12 Published:2013-10-22
  • Contact: 喻德跃, E-mail: dyyu@njau.edu.cn, Te1: 025-84396410, Fax: 025-84395405 E-mail:2011201044@njau.edu.cn

Abstract:

Biomass, one of the main factors that determine the effective economic yield, has an important effect on the final seed yield. In this study, a genome-wide association analysis was conducted to detect key single-nucleotide polymorphisms (SNPs) associated with biomass and yield components using 1142 SNPs in a soybean landraces panel. There existed abundant phenotypic and genetic diversities and significant correlations among biomass and yield components in the population, and the correlation between biomass and seed yield was slightly higher than that between biomass and seed weight. Genome-wide association analysis using a mixed linear model detected 41, 56, and 29 SNPs associated with biomass, seed weight and seed yield respectively. Among them, 6, 19, and 1 SNPs were detected in two environments. In addition, 15 SNPs were found co-associated with two or more different traits and BARC-029051-06057 on chromosome 19 was associated with the three traits, which implies a partially common genetic basis for the three traits. Many SNPs detected in our study were found co-associated with soybean chlorophyll, chlorophyll fluorescence parameters and yield components in our previous study. The identification of these significant SNPs will be helpful to better understand the genetic basis of biomass and yield components, and facilitate the pyramiding of favorable alleles for future high-yield breeding by marker-assisted selection in soybean.

Key words: Single nucleotide polymorphisms (SNP), Photosynthesis, Yield, Soybean, Natural population

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