引进国际水稻所籼稻品系主成分及聚类分析  

Principal component and cluster analysis of indica lines cultivars introduced from IRRI

作　　者：刘百龙[1,2] 石瑜敏[1,2] 王威豪[1,2] 韦善富[3] 冯锐[1,2] 宋智萍[1,2] 毛昌祥[1,2] 

机构地区：[1]广西农业科学院水稻研究所广西水稻遗传改良重点实验室 [2]国家水稻改良中心南宁分中心,南宁530007 [3]广西农业科学院植物保护研究所,南宁530007

出　　处：《南方农业学报》2011年第12期1449-1453,共5页Journal of Southern Agriculture

基　　金：广西科学基金项目(桂科自0991201;桂科青0832064);广西农业科学院基本科研业务专项项目(200921)

摘　　要：【目的】综合比较、评价从国际水稻研究所引进的籼稻资源,旨在更有效利用外引稻种资源。【方法】采用DPS软件对来自国际水稻研究所的118个籼稻资源的主要农艺性状进行主成分分析及聚类分析。【结果】粒型、株高、粒重、粒长、结实和熟期这6个主要因子对变异的累积贡献率达85.1873%。依据主成分向量将118份引进材料聚为3大类型:第1大类群为矮秆、多穗、长粒类型,共34份材料;第2大类群为高秆、迟熟、少蘖、长穗型,共49份材料;第3大类群为半矮秆、早熟、高实、小穗类型,共35份材料。【结论】在利用外引资源时,要利用主成分等信息,抓住主要因子进行聚类,这样能更有效地利用外引资源。[Objective]The present experiment was conducted to comprehensively compare and appraise quality of indica rice resources introduced from the IRRI for their effective use in breeding programs.[Method]The principal component and cluster analysis of main agronomic traits of 118 indica rice resources were carried out using DPS software.[Result]The results showed that the six major factors,viz.,grain shape,grain weight,grain length,seed setting,plant height and maturity contributed to 85.1973% cumulative rate in trait variation in the principal component analysis.Based on principal component vectors,118 introduced materials were grouped into 3 major types.The first group containing 34 materials was characterized by dwarf stems,multiple panicles and long-grains,the second one containing 49 materials had long stem and long panicles,and showed late maturity and less tillering.The third group containing 35 materials was characterized by semi-dwarf stem,small panicle size,high seed setting and early maturity.[Conclusion]The principal component and other information may be used for cluster analysis of major factors for more effective use of introduced germplasm resources.

关 键 词：籼稻 农艺性状 主成分分析 聚类分析 

分 类 号：S511[农业科学—作物学]