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Acta Agron Sin ›› 2010, Vol. 36 ›› Issue (11): 1832-1842.doi: 10.3724/SP.J.1006.2010.01832

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

QTL Analysis for Yield Components and Kernel-Related Traits in Maize under Different Water Regimes

PENG Bo1,WANG Yang1,**,LI Yong-Xiang1,LIU Cheng2,LIU Zhi-Zhai1,WANG Di1,TAN Wei-Wei1,ZHANG Yan1,SUN Bao-Cheng2,SHI Yun-Su1,SONG Yan-Chun1,WANG Tian-Yu1,*,LI Yu1,*   

  1. 1 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; 2 Institute of Food Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830000, China; 3 Southwest University, Chongqing 400716, China
  • Received:2010-03-03 Revised:2010-05-25 Online:2010-11-12 Published:2010-08-30
  • Contact: WANG Tian-Yu,E-mail: wangtianyu@263.net, Tel: 010-62186632; 黎裕, E-mail: yuli@mail.caas.net.cn, Tel: 010-62131196

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Abstract: Maize yield and yield-related traits are seriously affected by water stress. Therefore, detecting quantitative trait locus (QTL) for yield components and kernel-related traits, analyzing the stability of QTLs and exploiting constitutive QTLs under different water regimes are of great importance in marker-assisted breeding for drought tolerance in maize. In this study two F2:3 populations derived from Qi319×Huangzaosi (Q/H) and Ye478×Huangzaosi (Y/H) were used to investigate the genetic basis of yield components and kernel-related traits under different water regimes in Xinjiang (including well-water and water-stress environments) by stepwise joint QTL mapping method. The results showed that above 70% of the QTLs for yield components and kernel-related traits expressed stably under the same water regime across the two years. The QTLs detected in water-stress environments were less stable than those in well-water environments across the two years in Xinjiang. The joint analysis combining data of all environments indicated that the stability of the QTLs for all traits decreased, but above 60% of them still expressed stably. A total of 11 constitutive QTLs (with contribution rate more than10% in at least one environment, detected in more than two environments based on single environment analysis) distributed on bin1.10, 2.00, 4.09, 7.02, 9.02, 10.04 and 10.07 were detected in the two populations, and all of them except bin10.04 were stable across all environments. Consequently, most of the QTLs for yield components and kernel-related traits stably expressed under the same water regime across different years, and even under different water regimes in Xinjiang. These constitutive QTLs may provide references for molecular breeding and further basic studies.

Key words: Maize, Water stress, Yield, Kernel, QTL×E

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