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大豆蛋白质含量相关QTL间的上位效应和QE互作效应
引用本文:单大鹏,朱荣胜,陈立君,齐照明,刘春燕,胡国华,陈庆山.大豆蛋白质含量相关QTL间的上位效应和QE互作效应[J].作物学报,2009,35(1):41-47.
作者姓名:单大鹏  朱荣胜  陈立君  齐照明  刘春燕  胡国华  陈庆山
作者单位:1黑龙江农垦科研育种中心,黑龙江哈尔滨 150090;2东北农业大学大豆研究所,黑龙江哈尔滨150030;3国家大豆工程技术研究中心,黑龙江哈尔滨150050;4 黑龙江省农科院绥化分院,黑龙江绥化152052;5 东北农业大学理学院,黑龙江哈尔滨150030;6 黑龙江省农业科学作物育种研究所,黑龙江哈尔滨 150086
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(2004CB117203-5),国家高技术研究发展计划(863计划)项目(2006AA10Z1F4),黑龙江省教育厅科技研究项目(10551029),黑龙江省博士后科研启动金(LHK-04014),黑龙江省博士后项目(LRB06-126)资助
摘    要:利用Charleston×东农594重组自交系构建的SSR遗传图谱及混合线性模型方法对2002—2006连续5年的大豆蛋白质含量进行QTL定位,并作加性效应,加性×加性上位互作效应及环境互作效应分析。共检测到10个控制蛋白质含量的QTL,分别位于第B2、C2、D1a、E和N连锁群,其中1个表现为遗传正效应,9个表现为遗传负效应,另检测到15对影响蛋白质含量的加性×加性上位互作效应的QTL,解释该性状总变异的13.75%。环境互作检测中,发现9个QTL与环境存在互作,贡献率达到4.47%。

关 键 词:大豆  蛋白质含量  混合线性模型  QTL与环境互作效应  上位互作效应
收稿时间:2008-04-20
修稿时间:2008-07-14

Epistatic Effects and QE Interaction Effects of QTLs for Protein Content in Soybean
SHAN Da-Peng,ZHU Rong-Sheng,CHEN Li-Jun,QI Zhao-Ming,LIU Chun-Yan,HU Guo-Hua,CHEN Qing-Shan.Epistatic Effects and QE Interaction Effects of QTLs for Protein Content in Soybean[J].Acta Agronomica Sinica,2009,35(1):41-47.
Authors:SHAN Da-Peng  ZHU Rong-Sheng  CHEN Li-Jun  QI Zhao-Ming  LIU Chun-Yan  HU Guo-Hua  CHEN Qing-Shan
Institution:1Crop Research and Breeding Center of Land-Reclamation,Harbin 150090,China;2 Soybean Research Institute, Northeast Agricultural Universtity,Harbin 150030,China;3The National Research Center of Soybean Engine ering and Technology,Harbin 150050,China; 4Heilongjiang Academy of Agricultural Sciences,Suihua Institute,Suihua 152052,China;5College of Science,Northeast Agricultural University,Harbin 150030,China;6 Heilongjiang Academy of Agricultural Sciences Crop Breeding Institute, Harbin 150086,China
Abstract:Soybean Glycine max (L). Merr.], widely grown in United States, Brazil, Argentina, and China, is one of the plant protein source. Protein content in soybean is a quantitative trait controlled by multiple genes, and Currently, SoyBase (2007) documented at least 76 QTL associated with protein content that have been mapped in many different populations and environments. The objective of the paper was to investigate epistatic effects and QE interaction effects of QTLs for protein content by mixed linear model. QTLs for soybean protein content were detected in a five-year experiment with the recombination inbred lines (RIL) population derived from a cross between Charleston and Dongnong 594. Ten QTLs with additive effects for protein content were mapped in the linkage groups B2, C2, D1a, E and N, one of which was the positive effect contributed by Charleston, the others of which were the negative effects donated by Dongnong 94. Fifteen QTLs pairs with epistatic effects for protein content in the RIL were detected, accounting for 13.57% of the general phenotypic variation. There existed interaction between 9 QTLs and environment, and the general contribution to protein content was 4.47%.
Keywords:Soybean  Protein content  Mixed linear model  QTL×  environment interaction  Epistatic effects
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