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QTL mapping for fiber quality and yield-related traits across multiple generations in segregating population of CCRI 70

文献类型： 外文期刊

作者： Deng Xiaoying 1 ; Gong Juwu 2 ; Liu Aiying 2 ; Shi Yuzhen 2 ; Gong Wankui 2 ; Ge Qun 2 ; Li Junwen 2 ; Shang Haihong 2 ; Wu Yuxiang 1 ; Yuan Youlu 2 ;

作者机构： 1.Shanxi Agr Univ, Coll Agr, Taigu 030801, Shanxi, Peoples R China

2.Chinese Acad Agr Sci, Inst Cotton Res, Minist Agr & Rural Affairs, State Key Lab Cotton Biol,Key Lab Biol & Genet Br, Anyang 455000, Henan, Peoples R China

关键词： QTL mapping; Fiber quality; Yield quality; Multiple generations; Upland cotton (Gossypium hirsutum L.)

期刊名称：JOURNAL OF COTTON RESEARCH （ 影响因子：2.6； 五年影响因子：2.8 ）

ISSN： 2096-5044

年卷期： 2019 年 2 卷

页码：

收录情况： SCI

摘要： Background: Cotton is a significant economic crop that plays an indispensable role in many domains. Gossypium hirsutum L. is the most important fiber crop worldwide and contributes to more than 95% of global cotton production. Identifying stable quantitative trait locus (QTLs) controlling fiber quality and yield related traits are necessary prerequisites for marker-assisted selection (MAS). Results: A genetic linkage map was constructed with 312 simple sequence repeat (SSR) loci and 35 linkage groups using JoinMap 4.0; the map spanned 1 929.9 cM, with an average interval between two markers of 6.19 cM, and covered approximately 43.37% of the cotton genome. A total of 74 QTLs controlling fiber quality and 41 QTLs controlling yield-related traits were identified in 4 segregating generations. These QTLs were distributed across 20 chromosomes and collectively explained 1.01%similar to 27.80% of the observed phenotypic variations. In particular, 35 stable QTLs could be identified in multiple generations, 25 common QTLs were consistent with those in previous studies, and 15 QTL clusters were found in 11 chromosome segments. Conclusion: These studies provide a theoretical basis for improving cotton yield and fiber quality for molecular marker-assisted selection.

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