华南农业大学学报2025，Vol.46Issue(4)：471-479,9.DOI:10.7671/j.issn.1001-411X.202412004
基于主成分分析和聚类分析的中籼稻种质资源表型多样性评价
Phenotypic diversity evaluation of medium indica rice germplasm resources based on principal component analysis and cluster analysis
摘要
Abstract
[Objective]To systematically evaluate the genetic diversity of medium indica rice germplasm resources,and enhance the scientificity and efficiency of parental selection and utilization in medium indica rice breeding.[Method]A total of 35 medium indica rice germplasm resources were analyzed,and 14 key phenotypic traits were systematically evaluated using statistical methods of coefficient of variation,genetic diversity index,principal component analysis,two-dimensional ordination analysis,and stepwise regression analysis.[Result]The coefficients of variation for the 14 traits ranged from 9.31%to 78.39%,with genetic diversity indices ranging from 4.82 to 5.12.The resources'Beitiandao''Zaohuaqiu''Wukexiang'and'Shiyueqing'clustered closely in two-dimensional sorting diagram,suggesting their potential as breeding parents or intermediate materials.'Wukexiang'ranked the first in overall trait performance.Stepwise regression analysis identified the six key traits,including plant height,flag leaf length,falling grains per panicle,shriveled grains per panicle,1000-grain weight,and grain width,as the critical indicators for comprehensively evaluating medium indica rice germplasm.Hierarchical cluster analysis based on the square sum of deviations method grouped the 35 accessions into three distinct clusters with obvious differences in trait performance among clusters.[Conclusion]The studied medium indica rice germplasm exhibits a high level of phenotypic genetic diversity.These findings provide a theoretical basis and valuable materials for the identification of elite resources and rational parental combinations of new medium indica rice,and offer an important support for the development of new mediumindica rice cultivars.关键词
中籼稻/种质资源/主成分分析/表型多样性/综合评价Key words
Medium indica rice/Germplasm resource/Principal component analysis/Phenotypic diversity/Comprehensive evaluation分类
农业科技引用本文复制引用
杨海龙,杨佳恒,王蕾,蔡金洋..基于主成分分析和聚类分析的中籼稻种质资源表型多样性评价[J].华南农业大学学报,2025,46(4):471-479,9.基金项目
浙江省农业新品种选育重大科技专项(2021C02063-4) （2021C02063-4）
