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Acta Agron Sin ›› 2017, Vol. 43 ›› Issue (07): 954-966.doi: 10.3724/SP.J.1006.2017.00954

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

Association Analysis and Exploration of Elite Alleles of Mechanical Harvest-Related Traits with SSR Markers in Upland Cotton Cultivars (Gossypium hirsutum L.)

WANG Juan1,**,DONG Cheng-Guang1,2,**,LIU Li1,KONG Xian-Hui1,WANG Xu-Wen1,YU Yu1,*   

  1. 1 Cotton research Institute, Xinjiang Academy of Agricultural and Reclamation Science / Key Laboratory of China Northwestern Inland Region, Ministry of Agriculture, Shihezi 832000, China; 2 College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China
  • Received:2016-10-12 Revised:2017-04-20 Online:2017-07-12 Published:2017-04-27
  • Contact: Yu Yu, E-mail: xjyuyu021@sohu.com E-mail:cottonwj@126.com
  • Supported by:

    This program was financially supported by the Doctorial Found of Xinjiang Production and Construction Corps (2013BB001) , the Key S&T projects of Xinjiang Production and Construction Corps (2016AA001-1), and the National Natural Science Foundation of China (31260340).

Abstract:

Cotton suitable for mechanical harvest should have higher requirement in traits, for example, shorter growth period, ideal plant type and high sensitivity to defoliant. A total of 214 pairs of SSR with high polymorphism and uniform distribution on whole genome were used to scan polymorphism in 118 cotton varieties with one or more mechanical harvest-related traits. Molecular marker data and six phenotypic traits were analyzed by the method of MLM (mixed linear model) in Tassel 5.0 on the basis of population structure, analysis loci with elite allelic variation and typical materials carrying elite alleles were identified based on phenotypic effect values. We detected 460 alleles and 905 genotypes. The average genetic diversity index was 0.5151, and the average polymorphic information content (PIC) per marker was 0.4587. Ninety-nine markers achieved the aforementioned average values accounted for 46.3% of the total markers, shows that the SSR markers have more allelic variance and higher genetic diversity. All the 118 cotton varieties were divided into four subgroups by analysis of population genetic structure. There was no corresponding relation between each kind of group of materials and the geographical source. A total of 124 loci (P<0.05) and 20 loci (P<0.01) associated with mechanical harvest-related traits were detected by association analysis, with explained variance ranging from 2.23% to 14.15% and from 4.84% to 14.15% respectively. Based on the results of this study, we identified 11 typical materials, including Xi 7, Jinken 9, Y11, Yumian 18, AY-4, K2, Chaoyang 2, DZ22, Zhongmiansuo 43, C2, Guanrongchangzao B14. The elite alleles and resources can be useful for marker-assisted selection breeding.

Key words: Cotton, Mechanical harvest-related traits, Associate on analysis, Allelic variation

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