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二十二份毛花猕猴桃种质资源果实品质的主成分分析与综合评价
引用本文:王英珍,潘芝梅. 二十二份毛花猕猴桃种质资源果实品质的主成分分析与综合评价[J]. 浙江农业学报, 2021, 33(5): 825-830. DOI: 10.3969/j.issn.1004-1524.2021.05.07
作者姓名:王英珍  潘芝梅
作者单位:丽水职业技术学院,浙江 丽水 323000
基金项目:浙江省教育厅一般科研项目(Y201942800);丽水市科技计划项目(2014XPZ09)
摘    要:
为了更好地了解毛花猕猴桃种质资源的多样性,测定了浙江省丽水市境内22份毛花猕猴桃种质的8个品质指标,进行了变异分析、主成分分析、聚类分析和综合评价.结果表明,果实品质指标差异较大,单果质量的变异系数最大(38%);果实横径的变异系数最小(11%);聚类分析结果表明,22份毛花猕猴桃种质可以分为两大类,其中第一类种质果实...

关 键 词:毛花猕猴桃  果实品质  变异系数  主成分分析  聚类分析
收稿时间:2020-07-20

Comprehensive evaluation of 22 Actinidia eriantha germplasm resources based on principal components analysis
WANG Yingzhen,PAN Zhimei. Comprehensive evaluation of 22 Actinidia eriantha germplasm resources based on principal components analysis[J]. Acta Agriculturae Zhejiangensis, 2021, 33(5): 825-830. DOI: 10.3969/j.issn.1004-1524.2021.05.07
Authors:WANG Yingzhen  PAN Zhimei
Affiliation:Lishui Vocational and Technical College, Lishui 323000, China
Abstract:
Mao Hua kiwifruit (Actinidia eriantha) is a special germplasm resource in China, which has rich nutrition and high utilization value. In order to analyze the diversity of Actinidia eriantha germplasm resources, 8 fruit traits of 22 Actinidia eriantha which were obtained from Lishui City, Zhejiang Province were evaluated. The variation analysis, clustering analysis, principal component analysis and comprehensive evaluation were employed to evaluate the overall quality of Actinidia eriantha. The results showed that there were significant difference among the variable coefficient fruit quality. The variable coefficient of fruit weight was the lagrest (38%), and the variable coefficient of fruit width was the least(11%). Clustering analysis results showed that 22 Mao Hua kiwifruit germplasms were divided into two groups. The soluble solids content, titratable acid content and vitamin C content in group Ⅰ were superior to group Ⅱ; the ratio of soluble solids content and titratable acid content in groupⅡ was superior to group Ⅰ. Principal component analysis showed that the accumulative variance contribution rate of three principle components extracted from six quality characters reached 85.04%, illustrating that the three principal components reflected the most parts of the original variables. The comprehensive assessment results showed that LD-18, L-74, L-27, L-19, L-73 were excellent in comprehensive performance. In conclusion, There were significant differences among different Mao Hua kiwifruit germplasm in Lishui City, Zhejiang Province. Through this evaluation, Mao Hua kiwi furit germplasm resources with high nutritional value and good flavor and taste can be selected conveniently. At the same time, the comprehensive evaluation model provides a reliable reference for selections of high-quality breeding materials.
Keywords:Actinidia eriantha  fruit quality  variable coefficient  principal component analysis  clustering analysis  
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