作物学报2011，Vol.37Issue(7)：1175-1185,11.DOI:10.3724/SP.J.1006.2011.01175
影响水稻穗部性状及籽粒碾磨品质的QTL及其环境互作分析
Analyses of QTLs for Rice Panicle and Milling Quality Traits and Their Interaction with Environment
摘要
Abstract
QTLs and their interactions with environments for yield-related traits-second branch number (SBN), spikelet number per panicle (SNP), filled grains number per panicle (FGN), 1000-grain weight (TGW), and panicle weight (PW); grain type traits -grain length (GL), width (GW), and thinkness (GT); and milling quality traits-brown rice percentage (BR), milled rice percentage (MR), and head rice percentage (HR) were identified and analyzed in the two environments, Nanning of Guangxi and Sanya of Hainan, using an introgression line population derived from the cross of recurrent parent Ce258 and a donor IR75862. There were significant differences in FGN, TGW, GL, GW, and HR between the two parents. Significant correlations were found among the yield-related traits, and they were strikingly negatively correlated with TGW and GL. Most yield-related traits and grain type had no significant correlations with the three milling quality traits. A total of 57 QTLs were identified for yield-related traits, grain type and milling quality, including six for SBN, four for FGN, five for each of SNP, PW, and TGW, nine for GL, seven for GW, one for GT, four for BR, five for MR, and six for HR, which distributed on all chromosomes except chromosome 11.Most QTLs affecting SBN, SNP and TGW clustered and distributed in the chromosomes independent of the QTLs for BR, MR and HR. Some important QTLs for the above traits were identified on chromosomes 2, 3, 4, 5, and 6 which had been previously detected many times in various genetic backgrounds and environments. One QTL affecting GL and GW in the region of RM152-RM310 on chromosome 8 was newly identified, which simultaneously increased GL and GW. The stable QTLs identified in this study are of importance for marker-assisted selection (MAS) in rice breeding programs. In addition, HR was largely affected by environment and the QTLs for HR had a significant interaction with environment. The interaction characteristics of QTL with environment and its application in MAS were deeply discussed in the paper.关键词
数量性状基因座/基因与环境互作/导入系/碾磨品质/产量相关性状Key words
Quantitative trait loci/ QTL x environment interaction/ Introgression lines/ Milling quality/ Yield-related traits引用本文复制引用
胡霞 ,黎志康,石瑜敏,贾倩 ,徐琴 ,王韵 ,陈凯 ,孙勇,朱苓华 ,徐建龙..影响水稻穗部性状及籽粒碾磨品质的QTL及其环境互作分析[J].作物学报,2011,37(7):1175-1185,11.基金项目
本研究由引进国际先进农业科学技术计划(948计划)项目(2006-G51)和国家科技部绿色超级稻项目(2010AA101803)资助. （948计划）
