中国水稻科学2011，Vol.25Issue(3)：277-283,7.DOI:10.3969/j.issn.1001-7216.2011.03.008
利用条件QTL定位发掘粳稻生育期和株高及单株有效穗数适用有利等位变异
Mining Applicable Elite Alleles of Growth Duration, Plant Height and Productive Panicle Number per Plant by Conditional QTL Mapping in Japonica Rice
摘要
Abstract
Unconditional QTL mapping and conditional QTL mapping were conducted for growth duration (GD), plant height (PH) and produtive panicle number per plant (PN) using a recombinant inbred line (RIL) population derived from a cross between japonica rice Xiushui 79 and C Bao. The 254-1ine RIL population was planted in two environments, Nanjing and Sihong,Jiangsu Proivince. Results showed that with predominant additive effects in all QTLs for GD, PH and PN detected by the two methods, the epistatic effects explained a small percent of phenotypic variation. No interaction was detected between additive QTL and environment, or between epistatic QTL pairs and environment. After growth duration was adjusted to an identical level, RM80-160bp was detected as an applicable elite allele for PN, with an additive effect of 0.71. After produtive panicle number per plant was adjusted to an identical level, RM448-240bp was detected as an applicable elite allele for GD, with an additive effect of 4. 64. After plant height was adjusted to an identical level, RM80-160bp was detected as an applicable elite allele for PN, with an additive effect of 0. 62, and RM448-240bp was detected as an applicable elite allele for GD, with an additive effect of 3.89. These applicable elite alleles could be used to improve target traits without influencing the other two traits.关键词
粳稻/生育期/株高/单株有效穗数/非条件QTL定位/条件QTL定位/重组自交系Key words
japonica rice/ growth duration/ plant height/ productive panicle number per plant/ unconditional QTL mapping/ conditional QTL mapping/ recombinant inbred line分类
农业科技引用本文复制引用
江建华,赵其兵,刘强明,陈兰,陈甫龙,乔保健,洪德林..利用条件QTL定位发掘粳稻生育期和株高及单株有效穗数适用有利等位变异[J].中国水稻科学,2011,25(3):277-283,7.基金项目
国家863计划资助项目(2010AAl01301) （2010AAl01301）
高等学校学科创新引智计划资助项目(B08025) （B08025）
农业部948项目[2006-G8(4)-31-1] （4）
教育部科技基础条件平台重点资助项目(505005). （505005）
