73份亚洲水稻恢复系农艺性状的主成分与聚类分析
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国家高新技术发展计划(“863”计划):2011AA10A101;农业部公益性行业(超级稻)专项(201100);;四川省“十二五”水稻育种攻关计划项目(YZGG2011-1);四川省财政创新能力提升工程--青年基金:(2013QNJJ-021).


Principal Component and Cluster Analysis for Agronomic Traits of 73 RiceMain Restorers Lines in Asia
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The National High Technology Research and Development Program of China (863 Program)

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    摘要:

    为了给利用国外恢复系资源提供理论依据,本研究选取来自亚洲主要产稻国家的73份恢复系资源,在德阳和泸州两个环境下,根据株高、单株有效穗、千粒重、单株生物量、单株产量、每穗实粒数、每穗颖花数、每日稻谷产量、每日生物量、结实率、收获指数等11个性状进行主成分与聚类分析。结果表明:通过主成分分析,将11个性状简化为4个主成分,即稻谷产量因子、生物产量因子、穗数因子和粒重因子,以上因子提供的信息量占总信息量的87.640%(德阳)和88.861%(泸州)。利用4个主成分因子进行系统聚类,,将73个资源在两个环境下都聚为4大类,其中来自中国的60.71%的资源聚在Ⅰ群,主要特点是千粒重大,株高偏高,产量较高。来自印度45.45%的资源聚在B群,主要特点是千粒重偏小,但产量、收获指数等形状均较好。4类群间差异明显,分类结果与地理来源基本一致。

    Abstract:

    In order to provide theoretical basis on useing of foreign restore resources in rice breeding.73 rice restorers resources which were collected in Asia, the test in two environments include Sichuan province Deyang and Luzhou. Principal component and cluster analysis were conducted based on agronomic traits such as plant height,tillers per plant,1000-grain weight,biomass per plant,grain yield per plant,seed setting rate,filled spikelets per panicle,spikelets per panicle,grain yield per daily,harvest index.The results showed that the 11 agronomic traits were composed of 5 independent principal component,wich include grain yield factor,biomass fator,tiller factor ,grain weight factor.4 principal components could present 87.640%(Deyang) and 88.861%(Luzhou)information of the raw data. Through cluster analysis baised on 4 principal components ,73 rice restorers resources were cluster 4 group in two environments.In Ⅰ group, which 60.71% of the restorers resources from China , that characters of clusterⅠ were heavy grain weight, heighter plant height , better yield. In Ⅱ group, which 45.45% of the restorers resources from India , that characters of clusterⅡ were light grain weight, better grain yield and harvest index. Three clusters had obvious feature ,cluster analysis result were Generally agree with local origin. Key words: Asia; Restorers Lines; agronomic traits; Principal Component Analysis ;Cluster Analysis.

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游书梅,曹应江,郑家奎,等.73份亚洲水稻恢复系农艺性状的主成分与聚类分析[J].植物遗传资源学报,2015,16(2):250-256.

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  • 收稿日期:2014-04-10
  • 最后修改日期:2014-11-05
  • 录用日期:2015-02-03
  • 在线发布日期: 2015-02-03
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