Wei ZHANG , Fang LIU , Shao-Hui LI , Wei WANG , Chun-Ying WANG , Xiang-Di ZHANG , Yu-Hong WANG , Guo-Li SONG , Kun-Bo WANG
{"title":"QTL Analysis on Yield and Its Components in Recombinant Inbred Lines of Upland Cotton","authors":"Wei ZHANG , Fang LIU , Shao-Hui LI , Wei WANG , Chun-Ying WANG , Xiang-Di ZHANG , Yu-Hong WANG , Guo-Li SONG , Kun-Bo WANG","doi":"10.1016/S1875-2780(11)60013-8","DOIUrl":null,"url":null,"abstract":"<div><p>To facilitate the application of simple sequence repeat (SSR) markers in molecular marker-assisted selection (MAS) of upland cotton (<em>Gossypium hirsutum</em> L.), a linkage map harboring 192 SSRs was constructed from the CRI-G6 population (Acala 1517 × Dezhou 047) using mixed-model-based composite interval mapping (MCIM) method. This map was used to detect quantitative trait loci (QTLs) associated with cotton yield traits in 3 environments. In the separate analysis, 24 main-effect QTLs were identified including each one stable QTL for seed yield, lint yield, lint percentage, seed index, and boll number per plant. In the joint analysis, 14 main-effect QTLs and 20 pairs of additive–additive epistatic QTLs were detected including 6 main-effect and 7 pairs of epistatic QTLs with environmental interactions. Eight main-effect QTLs were mapped in the same regions using both methods. Some main-effect QTLs with stability in different growing environments had phenotypic contributions larger than 10%, and these QTLs are candidate genes/loci in MAS of upland cotton.</p></div>","PeriodicalId":7085,"journal":{"name":"Acta Agronomica Sinica","volume":"37 3","pages":"Pages 433-442"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1875-2780(11)60013-8","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Agronomica Sinica","FirstCategoryId":"1091","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1875278011600138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 10
Abstract
To facilitate the application of simple sequence repeat (SSR) markers in molecular marker-assisted selection (MAS) of upland cotton (Gossypium hirsutum L.), a linkage map harboring 192 SSRs was constructed from the CRI-G6 population (Acala 1517 × Dezhou 047) using mixed-model-based composite interval mapping (MCIM) method. This map was used to detect quantitative trait loci (QTLs) associated with cotton yield traits in 3 environments. In the separate analysis, 24 main-effect QTLs were identified including each one stable QTL for seed yield, lint yield, lint percentage, seed index, and boll number per plant. In the joint analysis, 14 main-effect QTLs and 20 pairs of additive–additive epistatic QTLs were detected including 6 main-effect and 7 pairs of epistatic QTLs with environmental interactions. Eight main-effect QTLs were mapped in the same regions using both methods. Some main-effect QTLs with stability in different growing environments had phenotypic contributions larger than 10%, and these QTLs are candidate genes/loci in MAS of upland cotton.