GAO Jia, TANG Yue-ming, SHEN Xue-shan, LUO Fang-yao, CHEN Qing, WANG Zu-lian, ZHU Yong-qing. Comprehensive Evaluation and Classification of Quality of 10 Winter Cropping Potato Cultivars in Hilly Areas of Central Sichuan Province[J]. Science and Technology of Food Industry, 2020, 41(7): 13-17,24. DOI: 10.13386/j.issn1002-0306.2020.07.003
Citation: GAO Jia, TANG Yue-ming, SHEN Xue-shan, LUO Fang-yao, CHEN Qing, WANG Zu-lian, ZHU Yong-qing. Comprehensive Evaluation and Classification of Quality of 10 Winter Cropping Potato Cultivars in Hilly Areas of Central Sichuan Province[J]. Science and Technology of Food Industry, 2020, 41(7): 13-17,24. DOI: 10.13386/j.issn1002-0306.2020.07.003

Comprehensive Evaluation and Classification of Quality of 10 Winter Cropping Potato Cultivars in Hilly Areas of Central Sichuan Province

  • In order to comprehensive evaluation and scientific classification of fresh and processed potato varieties,the appearance indexes(single potato weight,tuber shape,peel color,bud eye depth and number,pulp color and hardness)and nutrition indexes(dry matter,starch,soluble sugar,soluble protein,VC and total phenol content)of 10 winter potato cultivars in hilly areas of central Sichuan province were determined and analyzed. SPSS software was used to analyze the significant difference and correlation between the basic data. The results showed that there were various degrees of differences among the tested indexes of different varieties,and there was a significant positive correlation between the pulp hardness and dry matter of potato tubers(P<0.05). Principal component analysis was used to reduce the dimension of 10 indexes,and the comprehensive scores of 10 varieties were ranked. Among them,Chuanyu No. 10,Chuanyu No. 50 and Qingshu No. 9 ranked the top 3.The main nutritional indices of the tested varieties were systematically clustered by Ward clustering method. Ten varieties were divided into four categories. The quality characteristics of different types of potato varieties were discussed based on basic data and principal component analysis results.
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