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KMID : 0381120180400070725
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Genes and Genomics
2018 Volume.40 No. 7 p.725 ~ p.734
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Detection of favorable alleles for yield and yield components by association mapping in upland cotton
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Dong Chengguang
Wang Juan
Chen Quanjia
Yu Yu
Li Baocheng
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Abstract
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Association mapping based on linkage disequilibrium provides a promising tool for dissecting the genetic basis underlying complex traits. To reveal the genetic variations of yield and yield components traits in upland cotton, 403 upland cotton accessions were collected and analyzed by 560 genome-wide simple sequence repeats (SSRs). A diverse panel consisting of 403 upland cotton accessions was grown in six different environments, and the yield and yield component traits were measured, and 560 SSR markers covering the whole genome were mapped. Association studies were performed to uncover the genotypic and phenotypic variations using a mixed linear model. Favorable alleles and typical accessions for yield traits were identified. A total of 201 markers were polymorphic, revealing 394 alleles. The average gene diversity and polymorphism information content were 0.556 and 0.483, respectively. Based on a population structure analysis, 403 accessions were divided into two subgroups. A mixed linear model analysis of the association mapping detected 43 marker loci according to the best linear unbiased prediction and in at least three of the six environments(??lgP?>?1.30, P?
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KEYWORD
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Association analysis, Molecular marker, Upland cotton, Yield traits
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