Comprehensive Evaluation of Nutritional Qualities of Chinese Cabbage (Brassica rapa ssp. pekinensis) Varieties Based on Multivariate Statistical Analysis

文献类型： 外文期刊

第一作者： Song, Chao

作者： Song, Chao;Ye, Xinyu;Liu, Guangyang;Zhang, Shifan;Li, Guoliang;Zhang, Hui;Li, Fei;Sun, Rifei;Xu, Donghui;Zhang, Shujiang;Song, Chao;Ye, Xinyu;Wang, Chenggang

作者机构：

关键词： Chinese cabbage; nutritional quality; PCA; membership function method; comprehensive evaluation

期刊名称：HORTICULTURAE （ 影响因子：3.1； 五年影响因子：3.4 ）

ISSN：

年卷期： 2023 年 9 卷 12 期

页码：

收录情况： SCI

摘要： In order to make the identification and utilization of nutritional quality components in Chinese cabbage more predictive, to obtain ideal raw materials, and to help screen functional Chinese cabbage varieties that have high nutritional value, we conducted a comprehensive evaluation of the nutritional quality of different Chinese cabbage varieties. In this study, 17 nutritional quality indexes of 35 Chinese cabbage varieties, including crude fiber (CF), crude protein (CP), vitamin C (VC), glucose (Glc), fructose (Fru), malic acid (MA), citric acid (CA), oxalic acid (OA), total amino acid (TAA) and CA, K, Mg, P, Cu, Fe, Mn and Zn, were analyzed using diversity analysis, correlation analysis, principal component analysis, membership function analysis and cluster analysis. The results showed that there were different degrees of variation in the 17 nutritional quality indexes, and the coefficients of variation ranged from 11.45% to 91.47%. The correlation analysis found that there were significant or extremely significant correlations between different nutrient elements of Chinese cabbage, which indicated that principal component analysis could be carried out, and the comprehensive score (D value) of different materials could be obtained using principal component analysis and the membership function method. The nutritional quality of Chinese cabbage was classified into five grades by cluster analysis. Finally, a mathematical model for evaluating the nutritional quality of Chinese cabbage was established using the D value and multiple stepwise regression methods, and 10 key indexes were selected from the 17 indexes, which could be used for the rapid identification of the nutritional quality of Chinese cabbage. This study provided a theoretical basis for the nutritional quality evaluation and variety breeding of Chinese cabbage.

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