新疆农业科学2017，Vol.54Issue(5)：862-870,9.DOI:10.6048/j.issn.1001-4330.2017.05.009
基于灰色关联度和主成分分析法的桑葚品质综合评价体系构建
Establishing Comprehensive Evaluation System for Mulberry Based on Grey Relational Grade Analysis and Principal Component Analysis
摘要
Abstract
[Objective] The aim of this study is to clarify the relations among the main indices of mulberry physicochemical quality in order to establish their scientific grading standards and identify the typical indices of mulberry physicochemical quality.[Method]With 13 varieties of fruit as the tested materials to determine total polyphenol, polysaccharide and other chemical indicators and using principal component analysis, cluster analysis, grey correlation analysis to determine the representative physical and chemical index.[Result]Soluble solids, total flavonoids, total acid, total polysaccharide, vitamin C, total polyphenol content were determined as the five representative indicators for mulberry quality evaluation.[Conclusion]The integrated use of principal component analysis, cluster analysis, correlation analysis and grey correlation analysis can simplify the mulberry quality evaluation index.关键词
桑葚/品质评价/主成分分析/相关性分析/聚类分析/灰色关联度分析Key words
mulberry/quality evaluation/principal component analysis/correlation analysis/clustering analysis/grey correlation analysis分类
农业科技引用本文复制引用
杨璐,卢晓丽,程平,波塔·巴合提汗..基于灰色关联度和主成分分析法的桑葚品质综合评价体系构建[J].新疆农业科学,2017,54(5):862-870,9.基金项目
自治区公益性科研院所基本科研业务经费资助项目"新疆桑属植物药效成分研究"(KY201521) （KY201521）
The basic research funds for public welfare research institutes in the Xinjiang Uygur Autonomous Region "Morus plants efficacy composition research in xinjiang"(KY201521) （KY201521）
