基于主成分及聚类分析的辽宁省水稻品种品质性状综合评价

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中图分类号：S511.2+2文献标志码：A

文章编号：1673-6737（2025）03-0001-07

Abstract Inordertostudythecomprehensivequaitydiferenceof39ricevarietiesinLiaoning Province，variationanalysis， corelationanalysis，principalcomponentanalysisandclusteranalysiswrecariedouton12qualityindexessuchasbrownrice rate.Theresultsshowedthatthereweredifferencesinqualitytraitsamongdiferentricevarieties，amongwhichthechalkiness was the most significant， the coefficient of variation was over 60% ，and the difference in processing quality was small. There were complexcorelationsamong the12qualityindexesTheresultsof principal componentanalysisshowedthatthecumulative contribution rate of the first six principal components reached 84.770% ，which could generalize most of the information of rice qualitytraitsandcouldbeused toevaluatethequalityofdiferentricevarieties.Thecomprehensiveevaluationresultsof subordinatefunctionshowedthatthecomprehensivescoresofYangeng-682，Liaogeng-8O2Yanhexiang-113，Yangeng-144and Beigeng-2O4werehigherTheresultsofclusteranalysisshowedthat39ricevarietiescouldbedividedinto4groups，andthe5 varieties with high comprehensive scores were distributed in the first group，and their ricequality was the best.

Key Words： Rice; Principal component analysis; Quality evaluation; Cluster analysis

我国稻米产量稳居世界第一，水稻单产处于世界领先水平。（剩余6111字）