摘要
对13份甘蔗创新种质和2个对照种的13个性状进行因子分析,前4个公因子方差累计贡献率达90.21%,反映了原变量的绝大部分变异信息,以前4个公因子得分为综合指标,采用非加权组平均法进行系统聚类,在欧氏距离为2.69时可将参试材料聚为4类,其中Ⅰ类和Ⅱ类综合表现较好。
13 characters from 13 sugarcane innovation species and two CK species were processed by factor analysis.The results showed that the cumulative contribution of the first four principal components to total variance of the population investigated reached 90.21 %,which represented the most variance information of the original variables.Using the first four common factor variance score as comprehensive indexes,and according to 2.69 genetic distance,the sugarcane materials could be divided to 4 groups by UPGMA method.Overall,the comprehensive performance of groupⅠand Ⅱ was better.
出处
《西南农业学报》
CSCD
北大核心
2011年第6期2072-2076,共5页
Southwest China Journal of Agricultural Sciences
基金
国家科技支撑计划(2006BAD13B05-2-10)
云南省应用基础研究计划重点项目(2006C0013Z)
云南省重点新产品开发计划项目(2010BB011)
云南省中青年学术技术带头人后备人才培养项目(2009CI059)
国家人事部留学人员科技活动优秀项目
作物种质资源保护项目(NB2010-2130135-17)
关键词
甘蔗
创新种质
因子分析
聚类分析
Sugarcane
Innovation gerplasm
Factor analysis
Cluster analysis