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QTL mapping for fiber quality and yieldrelated traits across multiple generations in segregating population of CCRI 70 被引量:3

QTL mapping for fiber quality and yieldrelated traits across multiple generations in segregating population of CCRI 70
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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 cotto n 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%?27.80%of the observed phenotypic variations.In particular,35 stable QTLs could be identified in multiple generations,25 common QTLs were con sistent 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. 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 %~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.
出处 《Journal of Cotton Research》 2019年第2期112-121,共10页 棉花研究(英文)
基金 supported by the National Natural Science Foundation of China(31371668) the National Agricultural Science and Technology Innovation project for CAAS(CAAS-ASTIP-2016-ICR)
关键词 QTL mapping Fiber quality Yield QUALITY Multiple generations UPLAND cotton(Gossypium hirsutum L.) QTL mapping Fiber quality Yield quality Multiple generations Upland cotton(Gossypium hirsutum L.)
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