作物学报2011，Vol.37Issue(9)：1511-1524,14.DOI:10.3724/SP.J.1006.2011.01511
利用小麦关联RIL群体定位产量相关性状QTL
QTL Mapping for Yield Related Traits Using Two Associated RIL Populations of Wheat
摘要
Abstract
Using inclusive composite interval mapping (ICIM) method, we detected QTLs responsible for spikelet number per spike (SN), grain number per spike (GN), spike number per plant (PN), 1000-grain weight (GW), and grain yield per plant (GY) in associated RIL populations WY (229 lines) and WJ (485 lines), which were planted in four growing environments. Numerous QTLs for the five yield-related traits were located on 21 chromosomes of wheat. In the WY population, nine, nine, four, seven, and five QTLs were detected for SN, GN, PN, GW, and GY, respectively. Among these QTLs, 16 explained more than 10% of the phenotypic variations. In the WJ population, the numbers of QTLs for the above five traits were 20,16,11,14, and 9, respectively, of which only three QTLs had phenotypic contribution higher than 10%. In addition, five QTLs were identified in two environments in the WY population and 17 QTLs were identified in at least two environments in the WJ population. Pleiotropy phenomenon or chromosome regions with closely linked QTLs were observed in both populations. Nine pairs of QTLs and two chromosome regions were inferred to be identical between the two populations because these QTLs and chromosome regions shared the same flanking markers. These results may enrich the QTL information for yield components of wheat and facilitate marker assisted selection.关键词
小麦/产量相关性状/完备区间作图法(ICIM)/QTLKey words
Wheat/ Yield-related traits/ Inclusive composite interval mapping method (ICIM)/ QTL引用本文复制引用
丁安明,李君,崔法,赵春华,马航运,王洪刚..利用小麦关联RIL群体定位产量相关性状QTL[J].作物学报,2011,37(9):1511-1524,14.基金项目
本研究由国家重点基础研究发展计划(973计划)项目(2006CB 101700)资助. （973计划）
