Acta Agriculturae Zhejiangensis ›› 2021, Vol. 33 ›› Issue (12): 2320-2329.DOI: 10.3969/j.issn.1004-1524.2021.12.12

• Horticultural Science • Previous Articles     Next Articles

Comprehensive evaluation of cherry tomato quality based on principal component analysis and cluster analysis

ZHOU Yanchao(), XUE Kun, GE Haiyan, CHEN Huoying, LIU Yang*()   

  1. College of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2020-09-09 Online:2021-12-25 Published:2022-01-10
  • Contact: LIU Yang

Abstract:

In order to explore the differences in quality between breeding materials and select suitable varieties, this experiment measured 14 quality indicators of 29 cherry tomatoes, using descriptive analysis, principal component analysis, cluster analysis and discriminant analysis to evaluate the quality of cherry tomatoes. The results showed that the coefficient of variation of lycopene was the largest, reaching 59%, and the coefficient of variation of transverse diameter was only 11%. The principal component analysis simplified 14 quality indicators into 5 factors, whose cumulative variance contribution rate reached 79.05%. Combined with cluster analysis, six indicators for determining the comprehensive quality of tomato were selected: single fruit weight, sugar-acid ratio, hardness, fruit shape index, VC and lycopene. Comprehensive principal component analysis was used to screen out the hybrid combination which had the higher comprehensive quality score. Cluster analysis divided the materials into 6 categories. This study had constructed the discriminant function of cherry tomato combined with discriminant analysis. The model cross-validation showed that the correct discriminant rate reached 79.3%. This study provided new ideas for the quality evaluation of cherry tomatoes.

Key words: cherry tomato, quality evaluation, comprehensive principal component analysis (PCA), cluster analysis, discriminant analysis

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