Chin J Plant Ecol ›› 2006, Vol. 30 ›› Issue (3): 479-486.DOI: 10.17521/cjpe.2006.0064

• Original article • Previous Articles     Next Articles


HU Song-Ping1,2, MEI Han-Wei2, ZOU Gui-Hua2, LIU Hong-Yan2, LIU Guo-Lan2, CAI Run1, LI Ming-Shou2, LUO Li-Jun2,*()   

  1. 1College of Life Science and Biotechnology, Shanghai Jiaotong University, Shanghai 200240, China
    2Shanghai Agrobiological Gene Center, Shanghai 201106, China
  • Accepted:2005-08-19 Published:2006-05-30
  • Contact: LUO Li-Jun


With the development of molecular marker techniques, researchers have begun to study the genetic mechanisms that control the chlorophyll content (CC) of plants. Researchers have mapped some of the quantitative trait loci (QTLs) controlling CC in different genetic rice populations. Because drought is the major obstacle to agriculture production, this study was carried out under well water and water stressed conditions to map QTLs affecting CC, and to analyze correlations between the CC and photosynthetic rate (Pn) with a recombinant inbred line (RILs) population. The objective was to provide a theoretical foundation for better understanding the molecular genetic mechanisms of CC under different water conditions, breeding with marker assistance selection, and development of drought tolerant and water saving rice cultivars. A significant positive correlation between CC and Pn (r=0.185 7**) was found under normal watering conditions, but there was no significant correlation (r=0.076 6) under drought stress. A total of 13 main QTLs related to CC were detected and located on chromosomes 1, 2, 3, 4, 5, 6, 10. Of these, 6 QTLs were identified under drought stress with an accumulated contribution of 47.39% and 7 QTLs were identified under normal conditions with a total contribution of 56.19%. A total of 16 pairs of digenic interactions were detected including 4 pairs under drought stress with a total contribution of 18.57% and 12 pairs under normal conditions that accounted for 38.49% of the total.

Key words: Recombinant inbred lines (RILs), Chlorophyll content (CC), Photosynthetic rate (Pn), Analysis of quantitative trait loci (QTL), Rice (Oryza sativa)