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Acta Agron Sin ›› 2015, Vol. 41 ›› Issue (07): 1064-1072.doi: 10.3724/SP.J.1006.2015.01064

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

Association Analysis between SSR Markers and Agronomic Traits in Barley

SI Er-Jing12,ZHANG Yu12,WANG Jun-Cheng12,MENG Ya-Xiong1,2,LI Bao-Chun1,3,MA Xiao-Le12,SHANG Xun-Wu2,WANG Hua-Jun1,2,*   

  1. 1 Gansu Provincial Key Laboratory of Aridland Crop Science / Gansu Key Laboratory of Crop Improvement & Germplasm Enhancement, Lanzhou 730070, China; 2 College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China; 3 College of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
  • Received:2014-11-14 Revised:2015-04-02 Online:2015-07-12 Published:2015-05-04
  • Contact: 王化俊, E-mail:whuajun@yahoo.com E-mail:sierjing@163.com

Abstract:

This study aimed at understanding the population structure of barley parent materials and identifying SSR markers associated with plant height, spike length, awn length, tiller number, effective tiller number, grain number per spike and thousand-grain weight. A total of 392 alleles were identified in 156 accessions using 86 polymorphic SSR markers with an average of 4.6 alleles per locus. The polymorphic information content ranged from 0.0612 to 0.8560. The 156 genotypes were divided into two populations according to structure analysis with SSR data. Eighteen markers were found to be associated with plant height, spike length, awn length, grain number per spike and thousand-grain weight using GLM (General Linear Model), and the phenotypic variation explained by a single marker ranged from 4.81% to 20.75%. Fourteen markers were found to be associated with plant height, spike length, awn length, effective tiller number, grain number per spike and thousand-grain weight using MLM(Mixed Linear Model), and the phenotypic variation explained by a single marker ranged from 6.64% to 31.55%. These associated markers provide a basis for future research.

Key words: Barley, SSR, Population structure, Agronomic trait, association analysis

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