数字农科院2.0

Cultivar and origin authentication of ‘Fuji’ and ‘gala’ apples from two dominant origins of China based on quality attributes

文献类型： 外文期刊

作者： Lixue Kuang;Zhiqiang Wang;Yang Cheng;Haifei Li;Jing Li;Youming Shen;Jianyi Zhang;Guofeng Xu

作者机构：

关键词： Apple;Cultivar authentication;MLP–NN;Origin authentication;Quality attribute

期刊名称： Food Chemistry: X

ISSN： 2590-1575

年卷期： 2024 年 23 卷

页码：

收录情况： SCIE（2024版） ; ; EI（2024版）

摘要： Apple quality is closely related to its cultivar and origin. However, the apple quality characteristics of different cultivars and origins are unclear. The hypothesis that some quality indicators can effectively distinguish the cultivar and origin of apples. The result indicated that the discriminant accuracy of the models was above 90%, and the multilayer perceptron neural network (MLP–NN) model was superior to the linear discriminant analysis (LDA) model. The identification accuracy of cultivars was higher than origins. The main reason was that the single fruit weight, vitamin C, total soluble solid, soluble sugar, sweetness value, sorbitol, glucose, fructose, sucrose, malic acid, quinic acid and citric acid of ‘Fuji’ apples were significantly higher than ‘Gala’ apples. This study provides a foundation for the quality evaluation and further geographical traceability studies of apples. Further studies related to the regulatory mechanism of environmental conditions on apple quality characteristics should be explored for theoretical confirmation.

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