摘要
利用DPSS软件对花生含油量、蛋白质、油酸、亚油酸、油亚比(O/L)等主要品质性状进行主成分分析和聚类分析。主成分分析表明,将10个品质性状综合成为4个主成分因子,可代表花生品质80.73%的原始数据信息量;聚类分析表明,51个花生品种可划分为6类,各类别间品质和遗传距离有较大差距。利用主成分分析和聚类分析进行花生品质的综合评价,可避免单一指标的片面性和不稳定性,为花生亲本的利用和品质育种提供重要的科学依据。
Comprehensive evaluation on peanut main quality traits can provide the basis for peanut quality breeding and production.Principal component and cluster on peanut quality traits were analyzed by using DPSS software.The results showed that the 10 traits were consolidated into 4 principal components which accounted for 80.73% of total variation.51 peanut varieties were divided into 6 categories through cluster analysis,and there was a wide genetic distance and quality between each categories.It is an effective way to comprehensively evaluate the peanut quality by principal component analysis and cluster analysis,which not only could avoid the bias and the instability of single factor analysis,but also explore a practical distinction way for the peanut quality analysis and the quality breeding.
出处
《植物遗传资源学报》
CAS
CSCD
北大核心
2011年第4期507-512,518,共7页
Journal of Plant Genetic Resources
基金
河南省重大科技攻关项目(092101110500)
郑州市科技领军人才(10LJR178)
关键词
花生
品质性状
主成分分析
聚类分析
综合评价
Peanut
Quality traits
Principal components analysis
Cluster analysis
Comprehensive evaluation