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Acta Agron Sin ›› 2011, Vol. 37 ›› Issue (09): 1511-1524.doi: 10.3724/SP.J.1006.2011.01511

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

QTL Mapping for Yield Related Traits Using Two Associated RIL Populations of Wheat

DING An-Ming1,LI Jun1,CUI Fa1,ZHAO Chun-Hua1,MA Hang-Yun2,WANG Hong-Gang1,*   

  1. 1 State Key Laboratory of Crop Biology / Shandong Key Laboratory of Crop Biology / Tai’an Subcenter of National Wheat Improvement Center / Agronomy College, Shandong Agricultural University, Tai’an 271018, China; 2 Zaozhuang Municipal Academy of Agricultural Sciences, Zaozhuang 277100, China
  • Received:2011-01-14 Revised:2011-05-20 Online:2011-09-12 Published:2011-06-28
  • Contact: 王洪刚, E-mail: hgwang@sdau.edu.cn, Tel: 0538-8242141

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Abstract: Using inclusive composite interval mapping (ICIM) method, we detected QTLs responsible for spikelet number per spike (SN), grain number per spike (GN), spike number per plant (PN), 1000-grain weight (GW), and grain yield per plant (GY) in associated RIL populations WY (229 lines) and WJ (485 lines), which were planted in four growing environments. Numerous QTLs for the five yield-related traits were located on 21 chromosomes of wheat. In the WY population, nine, nine, four, seven, and five QTLs were detected for SN, GN, PN, GW, and GY, respectively. Among these QTLs, 16 explained more than 10% of the phenotypic variations. In the WJ population, the numbers of QTLs for the above five traits were 20, 16, 11, 14, and 9, respectively, of which only three QTLs had phenotypic contribution higher than 10%. In addition, five QTLs were identified in two environments in the WY population and 17 QTLs were identified in at least two environments in the WJ population. Pleiotropy phenomenon or chromosome regions with closely linked QTLs were observed in both populations. Nine pairs of QTLs and two chromosome regions were inferred to be identical between the two populations because these QTLs and chromosome regions shared the same flanking markers. These results may enrich the QTL information for yield components of wheat and facilitate marker assisted selection.

Key words: Wheat, Yield-related traits, Inclusive composite interval mapping method (ICIM), QTL

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