安徽农学通报2026，Vol.32Issue(12)：98-101,4.DOI:10.16377/j.cnki.issn1007-7731.2026.12.025
基于主成分分析的山药营养品质综合评价
Comprehensive evaluation of nutritional quality of Chinese yam based on principal component analysis
摘要
Abstract
In this study,14 high quality Chinese yam germplasms were selected as test materials.8 nutritional quality indicators,including moisture,ash,protein,starch,soluble sugar,amylose,polysaccharide and polyphenol,were determined.Pearson correlation analysis and principal component analysis(PCA)were adopted to conduct a comprehensive evaluation on the nutritional quality of each yam cultivar.The results revealed significant differences in all nutritional indicators among yams from different origins.The average contents of moisture,ash and protein in the samples were 75.8,5.2 and 11.95 g/100 g,respectively;the average contents of starch,soluble sugar and amylose were 69.8%,4.13%and 20.0%,respectively;the average contents of polysaccharide and polyphenol were 1.30 g/100 g and 1.29 mg/g,respectively.Among all tested materials,Xiaobaizui yam and Mayam exhibited outstanding overall polysaccharide contents.Correlation analysis demonstrated that ash was significantly negatively correlated with polyphenol,protein was significantly negatively correlated with soluble sugar,and polysaccharide was significantly negatively correlated with amylose(P<0.05);protein showed an extremely significant negative correlation with amylose(P<0.01).4 principal components were extracted via principal component analysis,with a cumulative variance contribution rate of 81.337%,which could effectively reflect the overall variation characteristics of yam nutritional quality.According to the comprehensive scoring results,Mayam possessed the optimal comprehensive quality,followed by long Chinese yam and Xiaobaizui yam ranking the second and third respectively.This research provides theoretical references for targeted selective breeding and standardized cultivation of superior Chinese yam varieties.关键词
山药/营养品质/主成分分析/农产品Key words
Chinese yam/nutritional quality/principal component analysis/agricultural products分类
农业科技引用本文复制引用
梁珈语,杨硕,谷守国,周璇,徐梦展,吴桐,丛倩倩,赵国军..基于主成分分析的山药营养品质综合评价[J].安徽农学通报,2026,32(12):98-101,4.基金项目
唐山市人才资助项目(A202301004) （A202301004）
河北省农业农村厅科技成果推广项目(冀农科25033). （冀农科25033）
