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苏丹草与栽培高粱群体生物学性状的相关和主成分分析
引用本文:詹秋文,江媛媛,张守栋,钱章强.苏丹草与栽培高粱群体生物学性状的相关和主成分分析[J].热带作物学报,2003,24(4):67-73.
作者姓名:詹秋文  江媛媛  张守栋  钱章强
作者单位:①南京农业大学生命科学学院 江苏 南京 210095; ②安徽技术师范学院农学系 安徽 凤阳 233100
基金项目:安徽省自然科学基金(01041102),安徽省教育厅资助项目(2001kj061,2003kj069),安徽省高等学校“十五”优秀人才计划(2003022)资助
摘    要:察和分析4个苏丹草品种和6个栽培高粱品种的64个生物学性状。利用性状间的相关关系和系统聚类结果,探讨了在田间种植环境条件下生物学性状的分类学意义;利用主成分分析法确定出6个主分量,其中主成分Ⅰ、Ⅱ在苏丹草和栽培高梁2类群演化过程中起着决定性作用,被称作苏丹草分化主因子和高粱分化主因子。以6个主成分的回归因子得分值对10个品种进行聚类分析,结果将苏丹草和栽培高粱划分成两大类。 

关 键 词:苏丹草   高粱   相关   主成分分析   聚类分析  
修稿时间:2003年7月31日

Correlation and Principal Component Analysis on Biological Characters of Populations of Sorghum[Sorghum bicolor(L.)Moench]and Sudangrass
Zhan Qiuwen Jiang Yuanyuan Zhang Shoudong Qian Zhangqiang.Correlation and Principal Component Analysis on Biological Characters of Populations of Sorghum[Sorghum bicolor(L.)Moench]and Sudangrass[J].Chinese Journal of Tropical Crops,2003,24(4):67-73.
Authors:Zhan Qiuwen Jiang Yuanyuan Zhang Shoudong Qian Zhangqiang
Institution:①Department of Agronomy, Anhui Technical Teachers College, Fengyang, Anhui 233100 ②College of Life Sciences, Nanjing Agricultural University, Nanjing 210095
Abstract:Sixty -four biological characters of 4 varieties of sudangrass and 6 varieties of sorghum Sorghum bicolor (L.) Moench] were observed and analyzed. The results showed that the characters of significant positive correlation and significant negative correlation had been found.In terms of a combined line ,64 characters were clustered into 5 groups. The taxonomic significance of these characters was also analyzed. 6 principal branch quantitative characters were determined using the principal component analysis. Principal Component I was named for principal sudangrass factor and principal Component II was named for sorghum principal factor. 10 varieties could be divided into 2 main groups depending on the result of cluster analysis by principal component regression values. Sudangrass was clustered to one group, and sorghum was clustered to the other group.
Keywords:sudangrass sorghum [Sorghum bicolor (L  ) Moench] correlation principal component analysis cluster analysis
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