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Acta Agron Sin ›› 2010, Vol. 36 ›› Issue (10): 1624-1633.doi: 10.3724/SP.J.1006.2010.01624

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

Correlation Analysis and Conditional QTL Analysis of Grain Yield and Yield Components in Maize

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

  1. 1Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; 2Institute of Food Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830000, China；3Southwest University, Chongqing 400716, China
  • Received:2010-02-12 Revised:2010-05-25 Online:2010-10-12 Published:2010-08-04
  • Contact: WANG Tian,E-mail:wangtianyu@263.net,Tel: 010-62186632;LI Yu,E-mail:yuli@mail.caas.net.cn,Tel: 010-62131196 E-mail:snpengbo20032004@yahoo.com.cn; wan791109@163.com

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Abstract: Grain yield per plant (GYPP) is one of the most complicated quantitative traits and determined by kernel number per plant (KNPP) and 100-kernel weight (KWEI) in maize. It is of great importance in genetic improvement to reveal genetic relationship between GYPP and two yield components (KNPP and KWEI). In the present study, an F2:3 population including 230 families derived from two foundation lines in maize breeding of China (Qi 319 and Huangzaosi) was used to conduct conditional analysis and QTL mapping. The genetic relationships between GYPP and yield components (KNPP and KWEI) were investigated. The results showed that the heritability of KWEI was higher than that of GYPP and KNPP, and KWEI was less influenced by environment. The phenotypic correlation analysis showed that both KNPP and KWEI were positively significantly correlated with GYPP, and the correlation coefficient between KNPP and GYPP was higher than that between KWEI and GYPP. A total of five QTLs and five pairs of epistatic loci were detected for GYPP by the unconditional QTL mapping. Among the five QTLs, four were found with pleiotropic effects on three traits (GYPP, KNPP, and KWEI), while another one controlled two traits (GYPP and KNPP). All of the five pairs of epistatic loci were related to both KNPP and KWEI. Furthermore, fourteen QTLs and ten pairs of epistatic loci with small effects were detected only in the conditional QTL mapping. Consequently, either KNPP or KWEI was closely related with GYPP at phenotypic level, suggesting that the improvement of KNPP and KWEI can efficiently contribute to high grain yield. The conditional QTL mapping demonstrated the strong genetic relationship between GYPP and two yield components (KNPP and KWEI) at the individual QTL level. The conditional QTL mapping could detect additional QTLs with small effects that were not detected in the unconditional QTL mapping. Two important QTLs with pleiotropic and larger effects could be used in maize breeding for high yield and fine mapping.

Key words: Maize, Yield, Yield components, Conditional QTL analysis

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