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Acta Agron Sin ›› 2011, Vol. 37 ›› Issue (03): 433-442.doi: 10.3724/SP.J.1006.2011.00433

• CROP GENETICS & BREEDING · GERMPLASM RESOURCES · MOLECULAR GENETICS • Previous Articles     Next Articles

QTL Analysis on Yield and Its Components in Upland Cotton RIL

ZHANG Wei1,LIU Fang1,LI Shao-Hui1,WANG Wei1,2,WANG Chun-Ying1,ZHANG Xiang-Di1,WANG Yu-Hong1,SONG Guo-Li1,WANG Kun-Bo1,*   

  1. 1 Cotton Research Institute, Chinese Academy of Agricultural Sciences / Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang 455000, China; 2 Agricultural Sciences Research Institute of Coastal Region of Jiangsu, Yancheng 224002, China
  • Received:2010-06-18 Revised:2010-12-05 Online:2011-03-12 Published:2011-01-17

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Abstract: The genetic linkage map of SSR, constructed by mixed linear model composite interval mapping with CRI-G6 (Acala 1517 × Dezhou 047) population was used to detect and localize QTLs, including main-effect QTLs, epistasis QTLs and Q×E interaction effects in order to provide information applicable to cotton MAS (molecular marker assisted selection breeding). In a separate analysis, 24 major QTLs for yield traits were identified in the three different years. Each stable major QTL was detected for seed yield, lint yield, lint percentage, seed index and bolls per plant, respectively. Fourteen main-effect QTLs and 20 pairs of additive-additiveepistasis QTLs were detected by joint analysis in three years，among them six main-effect QTLs and seven pairs of additive-additive epistasis QTLs interacted with environments. These stable main-effect QTLs with a large effect (accounting for over 10% of phenotypic variation), which were scanned in different years and linked closely with markers, can be used for MAS in high-yield breeding program.

Key words: Upland Cotton, Recombinant inbred line, Yield trait, Main-effect QTL, Epitasis QTL, QTL ×, Environment interaction effect

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