Cotton Science

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Genetic Dissection of Allelic Loci Associated with Economic Traits of Upland Cottons in Xinjiang

Lei Jiejie, Shao Panxia, Guo Chunping, Zhang Dawei, Tang Binghui, Nurimanguli Aini, Peng Yajuan, Cui Tianyu, Zhang Aoshen, Lin Hairong, Lin Zhongxu, You Chunyuan, Nie Xinhui

Cotton Science, 2020, 32(3): 185-198. DOI: 10.11963/1002-7807.ljjnxh.20200509

Fig. 2 The linkage disequilibrium of 73 SSR markers on 26 chromosomes in Xinjiang upland cotton cultivars

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Fig. 1 Boxplot diagram of 10 traits in Shihezi and Korla regions from 2016 to 2018 The ends of boxplot, the circles out of both ends of boxplot, and the bold lines in the middle show the extreme range, single the maximum and minimum value, and the mean of phenotypic value of the targeted trait, respectively.
Table 1 Correlation results of yield and quality traits of cotton cultivars in Xinjiang under six environments
Fig. 3 Lines graph of K value with ln(P(D)) value and ΔK value based on structure analysis A: Line chart of K value and lnP (D); B: Line chart of ΔK changing with K values.
Fig. 4 Population genetic structure of 156 Xinjiang upland cotton cultivars based on 73 SSR markers
Table 2 SSR locus associated with yield and fiber quality related traits
Table 3 Allelic variation of loci significantly associated with yield and fiber quality traits and corresponding phenotypic effects and typical carrier materials
Table 4 Comparison of the association loci in this study and in previously reported
Table S1 The information of cotton varieties (lines) used in the study
Table S2 Statistics on the diversity of 73 pairs of SSR and SSCP markers
Table S3 Tests of the economic traits of upland cotton variety in Xinjiang under different environments

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