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作 者:范冬梅[1] 孙殿君[2] 马占洲[1] 刘春燕[2] 杨振[1] 曾庆力[1] 辛大伟[1] 蒋洪蔚[2] 邱鹏程 陈庆山[1] 胡国华[2,4]
机构地区:[1]东北农业大学农学院,黑龙江哈尔滨150030 [2]黑龙江省农垦科研育种中心,黑龙江哈尔滨150090 [3]鄂尔多斯市农牧业科学研究院,内蒙古鄂尔多斯017000 [4]国家大豆工程技术研究中心,黑龙江哈尔滨150050
出 处:《作物学报》2013年第6期1021-1029,共9页Acta Agronomica Sinica
基 金:黑龙江省自然科学基金重点项目(ZD201213);国家公益性行业(农业)科研专项(200903003);国家现代农业产业体系建设专项(CARS-04-02A);国家"十二五"科技支撑计划项目(2011BAD35B06-1);黑龙江省普通高等学校新世纪优秀人才培养计划(1252-NCET-004)项目资助
摘 要:定位大豆单株粒重QTL、分析QTL间的上位效应及QTL与环境互作效应,有利于大豆单株粒重遗传机制的深入研究。利用147个F2:14-F2:18RIL群体,在5年2点多环境下以CIM和MIM方法同时定位大豆单株粒重QTL。检测到17个控制单株粒重的QTL,分别位于Dla、B1、B2、C2、F、G和A1连锁群上,贡献率为6.0%~47.9%:用2种方法同时检测到3个QTL,即qSWPP-DIa-3、qSWPP-F-1和qSWPP-Dla-5,贡献率为6.3%~38.3%;2年以上同时检测到4个QTL,即qSWPP-DIa-1、qSWPP-Dla-2、qSWPP-B1-1和qSWPP-G-1,贡献率为8.1%~47.9%;利用QTLMapper分析QE互作效应和QTL间上位效应,7种环境下的数据联合分析得到1个QE互作QTL和4对上位效应QTL,贡献率和加性效应都较小。在分子标记辅助育种中应该同时考虑主效QTL及各微效QTL之间的互作。The objectives of this study were to map QTLs, which stably controlled seed weight per plant in soybean and analyze their epistatic effects and QTL x environment (QE) interactions. A set of F2:la-F2:18 RIL populations with 147 lines were planted in two sites in Heilongjiang Province, China from 2006 to 2010, and the QTLs were deduced using CIM and MIM models simulta- neously. Seventeen QTLs for seed weight per plant were located in Dla, B1, B2, C2, F, G,and A1 linkage groups, which ex- plained 6.0-47.9% of the phenotypic variation. Three QTLs could be detected by both methods, with phenotypic contributions ranging from 6.3% to 38.3%. Four QTLs could be found in at least two years, which explained the variation in seed weight per plant by 8.1-47.9%. Data from seven environments were used to detect QE interaction effects and epistatic effects using QTLMapper. One QE QTL and four pairs of epistatic QTLs were detected, but their additive effects and phenotypic contributions were small. These results indicated that both major and minor QTLs with epistatic and QE interaction effects should be considered in soybean breeding aiming at seed weight improvement.
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