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寒地水稻产量性状相关及聚类分析 被引量:13

Correlation and Cluster Analysis for Yield Properties of Early-japonica Rice in Cold Area
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摘要 [目的]探究影响水稻超高产育种的相关性状。[方法]应用表型主成分分析法,对黑龙江省20个水稻品种9个产量相关性状进行了相关和聚类分析。[结果]水稻产量相关性状间存在着错综复杂的相关关系。在6个影响水稻产量的主因子中,功能叶因子和产量因子对水稻产量的累积贡献率为96.56%;20个水稻品种被归为3类,显示出遗传距离较近、遗传基础狭窄的特点。[结论]水稻超高产育种中应注意剑叶叶面积和结实率、千粒重的选择。 [ Objective ] The research aimed to study correlated traits in rice super high yield breeding. [ Method] Nine yield properties of 20 varieties from Heilongjiang provincial rice regional trial were analyzed with the method of correlation and cluster analysis. [ Result ] There was a complex relationship among yield properties. Six principal component factors affecting yield were selected. The cumulative contribution rate of factor of function leaf and factor of yield was 96.56 %. Twenty varieties could be classified into three groups according to genetic distance, showing near genetic distance and narrow genetic basis. [ Conclusion] Leaf area of the flag leaf, rate of seed and 1 000 grains weight should be particularly considered in rice super high yield breeding.
出处 《安徽农业科学》 CAS 北大核心 2008年第23期9925-9928,共4页 Journal of Anhui Agricultural Sciences
关键词 超高产育种 相关分析 主成分分析 聚类分析 Super high yield breeding Correlation analysis Principal component analysis Cluster analysis
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