Principal factor analysis and cluster analysis on nutritional components in sweetpotato

摘要：

Analysis of main nutritional components in 86 sweetpotato varieties was carried out in this study. The coefficient correlation matrix of nutritional components showed that there was significant or extremely significant correlation among main nutritional components. The contribution rate of top five characteristic roots reached 80. 27％. Five principal factors were obtained from the loading matrix. With cluster analysis,86 sweetpotato varieties were divided into 8 clusters by 5 principal factors.

关键词： sweetpotato nutritional components principal component analysis cluster analysis

作者: Hua Yu Yongkang Song Qinghua Yao Wei Huang Wei Pan

作者单位: Central Laboratory,Fujian Academy of Agricultural Sciences Fujian key laboratory of precision measurement of for agriculture,Fuzhou,Fujian,350003,China

会议类型: 国际会议

会议名称: China Xuzhou 4th International Sweetpotato Symposium & 4th China-Japan-Korea Workshop(中国徐州第四届国际甘薯学术研讨会暨第四届中日韩甘薯学术讨论会)

会议地点: 徐州

会议语种:英文

页码: 711-719

在线出版日期: 2010-11-27（万方平台首次上网日期，不代表论文的发表时间）