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基于主成分与聚类分析的小豆品种综合评价
引用本文:刘振兴.基于主成分与聚类分析的小豆品种综合评价[J].农学学报,2015,5(9):57-63.
作者姓名:刘振兴
作者单位:河北省唐山市农业科学研究院
基金项目:国家现代农业产业技术体系“食用豆”(CARS-09-Z4); 唐山市科技计划“高产优质红小豆种质创新”(14120208B)
摘    要:为了简化小豆品种综合评价体系,采用主要性状的相关性、主成分及聚类分析,对30个小豆品种进行综合评价。结果表明,11个性状的变异系数在26.38%~5.66%之间,其中主茎分枝的变异系数最大,荚长的变异系数最小。相关分析表明,单株产量与全生育期、生育后期、株高、主茎分枝、单株荚数呈极显著正相关。主成分分析表明,11个主要性状可用5个主成分来表述(累积贡献率达92.3955%)。主成分聚类,筛选出单荚粒数、单株荚数、主茎分枝、生育前期、株高和百粒重6个因子来代替原有的11个性状指标,简化了小豆品种综合评价体系。经综合评价,唐山本地的2个品种排在前2位,来自东北的几个品种位居最后。

关 键 词:紫色土  紫色土  福建柏  初植密度  
收稿时间:2015/2/26 0:00:00
修稿时间:2015/5/18 0:00:00

Comprehensive Assessment by Principal Component Analysis and Cluster Analysis of Adzuki Bean Varieties
Abstract:The correlation analysis, principal component analysis and cluster analysis of 11major traits of 30 adzuik beans were analyzed. The results showed that the highest coefficient of variation was observed in numbers of branches per stem(26.38%), and the lowest was pod length(5.66%). The results of correlation analysis showed that growing period, days after flowering, plant height, numbers of branches and pod number per plant was significantly positive relationship with yield per plant. The results of principal component analysis showed that 11 traits might be represented available be five principal components(cumulative contribution rate of 92.3955%). According to the clustering results, six parameters including seed number per pod, pod number per plant, numbers of branches, days before flowering, plant height and 100-seed weight from five categories of principal components could instead of the original 11 traits so as to simplify the evaluation indicator system. Comprehensive assessment of 11 characters indicated two Tangshan local varieties were best , varieties which come from Dongbei were worst.
Keywords:adzuki bean  correlation analysis  component analysis  cluster analysis  comprehensive assessment
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