| 利用重组自交系群体对水稻产量相关性状的QTL分析 |
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| 引用本文： | 马大鹏,罗利军,汪朝阳,何予卿.利用重组自交系群体对水稻产量相关性状的QTL分析[J].分子植物育种,2004,2(4):507-512. |
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| 作者姓名： | 马大鹏 罗利军 汪朝阳 何予卿 |
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| 作者单位： | 华中农业大学作物遗传改良国家重点实验室,武汉,430070;上海市农业生物基因中心,上海,201106 |
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| 摘 要： | 利用水稻(Oryza sativa L．)珍汕97和SLG组合的重组自交系群体和177个微卫星标记，采用复合区间作图法对产量相关性状进行了数量性状基因(QTL)定位，共得到38个QTLs。单个QTL解释这些性状6．6％～32．9％的性状变异，各性状QTL的累积表型贡献率达21．3％～79．5％。大多数性状之间具有显著的表型相关性，相关性较高的性状之间常具有较多共同或紧密连锁的QTL。
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| 关 键 词： | 水稻 重组自交系群体 产量相关性状 数量性状基因 |
Mapping QTLs for Yield and its Component Traits of Rice Using a Recombinant Inbred Line Population |
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| Ma Dapeng Luo Lijun Wang Zhaoyang He Yuqing National Key Laboratory of Crop Genetic Improvement,Huazhong Agricultural University,Wuhan, Shanghai Agrobiological Gene Center,Shanghai.Mapping QTLs for Yield and its Component Traits of Rice Using a Recombinant Inbred Line Population[J].Molecular Plant Breeding,2004,2(4):507-512. |
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| Authors: | Ma Dapeng Luo Lijun Wang Zhaoyang He Yuqing National Key Laboratory of Crop Genetic Improvement Huazhong Agricultural University Wuhan Shanghai Agrobiological Gene Center Shanghai |
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| Institution: | Ma Dapeng1 Luo Lijun2 Wang Zhaoyang1 He Yuqing1*1 National Key Laboratory of Crop Genetic Improvement,Huazhong Agricultural University,Wuhan,4300702 Shanghai Agrobiological Gene Center,Shanghai,201106 |
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| Abstract: | A linkage map consisting of 177 SSR (simple sequence repeat) markers was constructed based on a recombinant inbred line (RIL) population from the cross between Zhenshan97 and SLG. Quantitative trait loci (QTL) mapping was carried out for yield and its component traits in 2003. Based on composite interval mapping method, 38 QTLs were detected. Each of the main-effect QTLs individually explained 6.6% to 32.9% of the phenopytic variations. And they collectively explained 21.3% to 79.5% of the phenotypic variations for these traits. Many of the traits shared same QTLs with each other, which is consistent with their significant phenotypic correlations. |
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| Keywords: | Rice Recombinant inbred line population Yield and its component traits Quantitative trait loci |
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