应用生态学报2011，Vol.22Issue(12)：3315-3320,6.
多元统计分析方法在万寿菊品种抗旱性评价中的应用
Drought-resistance evaluation of marigold cultivars based on multiple statistics analysis
摘要
Abstract
By the methods of principal component analysis, subordinate function, and cluster analysis, a comprehensive evaluation was conducted on the drought-resistance of 16 physiological indices of nine marigold cultivars. Under drought stress, the 16 physiological indices had different responses, among which, free proline (Pro) , H2O2, and ascorbate peroxidase (APX) showed the greatest sensitivity. There existed significant correlations in the drought-resistance coefficients of parts of the physiological indices. Four principal factors presented 88.6% of the information of the 16 indices , and the cultivars ' Janie' and ' Gate gold' , ' Bonanzn' , ' Janie' , and ' Chokdee' had the strongest drought-resistance for the 4 principal factors, respectively. The comprehensive evaluation value of the drought-resistance of the 9 cultivars was in the order of ' Janie' > ' Gate gold' > ' Bonanza' > 'Chokdee' > 'Giant' > 'Great hero' > 'Little hero' > 'Durango' > 'Discovery'. The 9 cultivars could be clustered into 3 groups, and ' Gate gold ' , ' Janie ' , ' Bonanza' and ' Chokdee' belonged to the drought-resistance group.关键词
万寿菊/抗旱性/主成分分析/隶属函数/聚类分析Key words
marigold/ drought-resistance/ principal component analysis/ subordinate function/cluster analysis分类
农业科技引用本文复制引用
田治国,王飞,张文娥,赵秀明..多元统计分析方法在万寿菊品种抗旱性评价中的应用[J].应用生态学报,2011,22(12):3315-3320,6.基金项目
国家林业局林业公益性行业科研专项资金项目(200704009)和陕西省农业攻关项目(2009K01-11)资助. （200704009）
