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《Acta Agronomica Sinica》 2005-10
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QTL Analysis of Yield Components in Maize under Different Environments

LAN Jin-Hao~(1,2),LI Xin-Hai~(1),GAO Shu-Ren~(1),ZHANG Bao-Shi~(2),ZHANG Shi-Huang~(1,*) (~(1)Institute of Crop Sciences,Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Genetics and Breeding,Ministry of Agriculture,Beijing 100081;~2Shenyang Agricultural University,Shenyang 110161,Liaoning,China)  
Maize(Zea mays L.) is one of the crops studied widely by QTL mapping. There are a lot of reports about QTL mapping for important traits,including yield components,plant height,grain moisture and growth period and so on.Grain yield is a very complicated quantitative trait,existing interactions not only with gene by gene,but also gene by environment.Studying the interactions between genes and environments and finding the yield QTL expressed in given environment are of importance in practice for developing new varieties adapting to some area.If consensus QTL of yield and its adjacent marker can be found,it will provide possibility for molecular breeding by marker assisted selection(MAS).The objectives of this experiment were to characterize QTL controlling yield,and to identify common genetic loci of yield as well as adjacent marker in differents environments,which could provide the basis for fine mapping of yield QTL and MAS.One hundred and ninety-one F_(2) individuals derived from the cross,Mo17×Huangzao4,were genotyped by SSR and AFLP markers to construct the genetic linkage map,and 184 corresponding F_(2∶3) families were phenotyped for maize yield components in Beijing and Xinjiang.The performance and correlations among 5 yield components including ears per plant(EPP),row number per ear(RN),kernel number per row(KR),100-kernel weight(KW) and grain yield per plant(GY) were evaluated,and the quantitative trait loci(QTL) were characterized.Totally,47 QTL were identified for 5 traits,locating on 9 chromosomes with exception of the chromosome 10.10,13,9,10 and 5 QTL were detected for EPP,RN,KR,KW and GY,respectively.Each of these QTL could explain 5.3% to 25.6% phenotypic variation of EPP,(4.5%) to 23.2% of RN,5.4% to 13.7% of KR,4.9% to(13.3%) of KW and 6.1% to 35.8% of GY.Most of the QTL are detected in single environment,indicating the significant interactions between QTL and environments.Different QTL relevant to the yield components which are phenotypically correlated each other can be identified easily in the same or adjacent chromosome regions.Several regions with clustered QTL relevant to multiple yield components identified in the study may provide the genetic loci of the universal yield QTL.
【Fund】: 国家“948重大国际合作研究”(2003-Q03);; 国家“863计划”(2001AA211111);; 亚洲玉米生物技术协作网项目资助
【CateGory Index】: S513
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