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首页> 外文期刊>Journal of Cotton Research >QTL mapping for fiber quality and yield-related traits across multiple generations in segregating population of CCRI 70
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QTL mapping for fiber quality and yield-related traits across multiple generations in segregating population of CCRI 70

机译:QTL在CCRI 70的分离群体中跨越多一代的纤维质量和与产量相关的性状。

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摘要

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). 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%~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. These studies provide a theoretical basis for improving cotton yield and fiber quality for molecular marker-assisted selection.
机译:棉是一种重要的经济作物,在许多领域中发挥着不可或缺的作用。 Gossypium Hirsutum L.是全球最重要的纤维作物,促成了全球棉花生产的95%以上。确定控制纤维质量和产量相关性状的稳定定量性状基因座(QTLS)是标记辅助选择(MAS)的必要前提条件。使用JoinMap 4.0用312个简单的序列重复(SSR)基因座和35个连杆基团构建遗传联系地图。地图截止了1 929.9厘米,平均间隔在6.19厘米的两个标记之间,并占棉花基因组的约43.37%。在4代分离几代中,共鉴定了总共74个控制纤维质量和41 QTL控制产量相关的性状。这些QTL分布在20染色体上,并集体解释了观察到的表型变化的1.01%〜27.80%。特别地,可以在多一代中鉴定35个稳定的QTL,25个常见的QTL与先前研究中的QTL一致,并且在11个染色体区段中发现了15个QTL簇。这些研究为改善棉花产量和分子标记辅助选择的纤维质量提供了理论依据。

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