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Chinese Agricultural Science Bulletin ›› 2020, Vol. 36 ›› Issue (19): 141-144.doi: 10.11924/j.issn.1000-6850.casb19030110

Special Issue: 小麦

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Quality Analysis of Wheat Based on Rank Correlation and Cluster Analysis

Li Xiaohang1,2, Wang Yinghong1()   

  1. 1Xinxiang Academy of Agricultural Sciences, Henan Province, Xinxiang Henan 453000
    2Institute of Farmland Irrigation, Chinese Academy of Agricultural Sciences, Xinxiang Henan 453000
  • Received:2019-03-26 Revised:2019-04-24 Online:2020-07-05 Published:2020-07-08
  • Contact: Wang Yinghong E-mail:410733138@qq.com

Abstract:

This study explored the differences in wheat quality in order to provide theoretical support for wheat quality improvement and wheat processing. Using 23 wheat varieties as experimental materials, the quality of wheat were analyzed by correlation analysis and cluster analysis. Eight quality indexes such as wheat quality, protein content and stability time were measured, and the relationship among eight quality indexes were studied. The results showed that the variation coefficient of dough stability time was the largest, and its value was 60%. The correlation analysis was carried out after the rank correlation treatment, which could reflect the correlation among the parameters. The correlation coefficient between protein content and wet gluten was 0.8, the correlation coefficient between tensile resistance and stability time was 0.85, the correlation coefficient between ductility and wet gluten was 0.68, and the correlation coefficient between stability time and settlement value was 0.67. The wheat varieties were divided into 5 categories after clustering, and the 15th variety belonged to the first category, the 14th variety belonged to the second category, the 1st, 9th, 16th, and 10th varieties belonged to the third category, the 2nd, 8th, 5th, 21st, 17th, and 18th varieties belonged to the fourth category, and the other varieties were in the fifth category.

Key words: wheat, quality, rank correlation, clustering, comprehensive evaluation

CLC Number: