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机构地区:[1]中国农业科学院作物科学研究所/农作物基因资源与基因改良国家重大科学工程,北京100081
出 处:《植物遗传资源学报》2008年第4期545-550,共6页Journal of Plant Genetic Resources
基 金:国家自然科学联合资助基金项目(U0631002);引进国际先进农业科学技术计划("948"计划)项目(2006-G51)
摘 要:产量是最为复杂的数量性状,对它的遗传机理了解甚微。近15年来,许多学者利用随机分离群体定位了许多影响水稻产量及其组分的QTL,即以QTL定位的方法对产量潜力进行遗传剖析。试验证明上位性效应对产量及其组分性状遗传变异起着重要作用,但目前大多数QTL研究仍侧重于发掘和克隆单个主效QTL,然而对单一基因/QTL的深入了解还不足以诠释复杂性状遗传基础的全貌,还没有为育种家提供足够的可应用于分子标记辅助育种的遗传信息并用于提高水稻产量。笔者认为今后的数量性状研究尚需加强复杂性状QTL遗传网络的发掘,在改良水稻品种性状的同时发展并完善QTL研究。Grain yield is the most complex quantitative trait of intensive invetigation but remains poorly understood genetically. In this review paper,the published results on the genetic dissection of rice yield potential by QTL appoach were critically reviewed. During the past 15 years, large numbers of QTLs affeting grain yield and its components in rice have been identified mostly using random segregating populations. Most QTL studies have been focused on identification and cloning of single main-effect QTLs, even though there is strong evidence that epistasis plays an important role in determining variation of grain yield and its components. While there is no doubt that QTLs are real genes with specific functions, results from these QTL studies do not seem to provide sufficient knowledge linking the underlying genes and the complex phenotype, nor provide sufficient information for breeders to improve grain yield by marker assisted selection. Finally, the authors believe that the future studies should be directed to identification of QTL networks underlying complex traits and to integration of QTL discovery with trait improvement.
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