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Acta Agron Sin ›› 2011, Vol. 37 ›› Issue (02): 235-248.doi: 10.3724/SP.J.1006.2011.00235

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

QTL Mapping of Ear Traits of Maize under Different Water Regimes

TAN Wei-Wei1,2,WANG Yang2,LI Yong-Xiang2,LIU Cheng3,LIU Zhi-Zhai2,4,PENG Bo2,WANG Di2,ZHANG Yan2,SUN Bao-Cheng3,SHI Yun-Su2,SONG Yan-Chun2,YANG De-Guang1,*,WANG Tian-Yu2, and LI Yu2,*   

  1. 1 College of Agronomy, Northeast Agricultural University, Harbin 150030, China; 2 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; 3Institute of Food Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830000, China; 4 Southwest University, Chongqing 400716, China
  • Received:2010-06-13 Revised:2010-09-25 Online:2011-02-12 Published:2010-12-12
  • Contact: 杨德光, E-mail: ydgl@tom.com; 黎裕, E-mail: yuli@mail.caas.net.cn, Tel: 010-62131196

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Abstract: Ear traits are closely associated with maize yield. Therefore, genetic dissection of ear traits can provide clues to maize high-yield breeding and is especially important in breeding for drought tolerance. In this study, seven ear related traits including ear length (EL), ear diameter (ED), row number (KRN), kernel number per row (KRE), grain yield per ear (GW), cob diameter (AD) and weight per ear (EW), were investigated using two sets of F2:3 populations, which were derived from crosses of Ye478×Huangzaosi (Y/H) and Qi319×Huangzaosi (Q/H), respectively. The two populations were evaluated under different water conditions in Xinjiang in 2007 and 2008. The results showed that those ear traits under drought were phenotypically lower than those under normal water regime and ear length, ear diameter, weight per ear had positive correlation with GW. A total of 75 QTL were identified under different water regimes using mixed linear model with two methods of single-experiment analysis and water regime joint analysis, including 20 QTL detected under normal water regime and 55 QTL detected under drought stress. The QTL detected in Y/H were located on chromosome 1, 2, 5, 6, 7, and 10, and the QTL detected in Q/H were distributed on chromosome 2, 3, 4, 5, 6, 7, 9, and 10. However, only four and nineteen QTL was identified in the two populations under drought stress respectively, significantly lower than that detected under normal water regime. Meanwhile, in the joint analysis, only three QTL had significant interaction with environments and six QTL had epistatic interaction, showing that the genetic feature of ear traits was complex. In Y/H, two congruent QTL, qKRE1-5-1 and qKRE1-7-1, were detected under different water levels, with the phenotypic contribution from 6.15% to 19.48%, while in Q/H, three congruent QTL, qKRE2-5-1, qGW2-10-1, and qKRE2-3-1, were detected under different water levels, with the phenotypic contribution from 7.14% to 16.65%. These results implied that these QTL were little influenced by environment and could stably expressed, which can be used in marker-assisted selection.

Key words: Maize, Ear traits, Drought stress, Quantitative trait loci

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