SHEN Tian, NIU Ruimin, HUANG Xiaojing, XU Zehua, CHEN Weiping. Quality Assessment of Seedless Table Grapes Based on Hierarchy-relation and Principal Component Analysis[J]. Science and Technology of Food Industry, 2021, 42(3): 53-60,67. DOI: 10.13386/j.issn1002-0306.2020040174
Citation: SHEN Tian, NIU Ruimin, HUANG Xiaojing, XU Zehua, CHEN Weiping. Quality Assessment of Seedless Table Grapes Based on Hierarchy-relation and Principal Component Analysis[J]. Science and Technology of Food Industry, 2021, 42(3): 53-60,67. DOI: 10.13386/j.issn1002-0306.2020040174

Quality Assessment of Seedless Table Grapes Based on Hierarchy-relation and Principal Component Analysis

  • The objective of this study was to comprehensively evaluate fruit quality of 10 seedless table grapes cultivars cultivated in Yinchuan area by using analytic hierarchy process and principal component analysis,which was aimed to provide reference for selecting high-quality table grape cultivars. The 10 seedless table grapes were taken as materials,and 14 basic quality indicators were measured,the quality of fruit were further analyzed by using analytic hierarchy process and principal component analysis,and sorted according to the comprehensive score. The results showed that three levels were set up in the hierarchical-relational analysis,the target layer was the comprehensive quality of the fruits,and the criterion layer was divided into appearance quality and intrinsic quality. The intrinsic quality weight value was 0.6,and the appearance quality weight value was 0.4. The index layer had the highest flavor and flavor weights,which were 0.1535 and 0.1413,respectively. The spikelets and single grain weight were important factors affecting external quality,and the weight values were 0.1087 and 0.1062. ‘Ruifeng Wuhe’ had the best appearance quality,with a weighted correlation of 0.7477,and ‘Eros Rose’ had the best internal quality,with a weighted correlation of 0.9131. The best comprehensive quality performance was ‘Eros Rose’,followed by ‘Wuhecuibao’,then ‘Summer Black’,and the weighted correlations were 0.8006,0.7732,0.7291 in order. Four principal components were extracted by principal component analysis,and cumulative contribution rate reached 86.332%. The total acid,solid acid ratio,sugar-acid ratio,flavor and aroma of the first principal component played an important role. And the thickness of the second principal component,fruit grain uniformity,single panicle weight and fruit panicle compactness had a great influence on it. The single grain weight,soluble solids,soluble sugar and flavor of the third principal component had a great effect on it. The color consistency of the fourth principal component and the content of vitamin C had a great effect on it. The highest comprehensive score was ‘Wuhecuibao’,followed by ‘Summer Black’,and then ‘Eros Rose’,with 1.31,1.17 and 1.02 respectively. The lowest comprehensive score was ‘Centennial’,with-2.11. The top three scores were ‘Wuhecuibao’,‘Aishen Meigui’,and ‘Summer Black’,at the bottom of the ranking was ‘Centennial’,which comprehensive analyzed of analytic hierarchy process and principal component analysis. The combination of analytic hierarchy process and principal component analysis to evaluate fruit quality was reliable,which could be used as a theoretical basis for the regional test promotion of fine varieties in the future.
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