HUBEI AGRICULTURAL SCIENCES ›› 2024, Vol. 63 ›› Issue (10): 85-90.doi: 10.14088/j.cnki.issn0439-8114.2024.10.015

• Horticulture & Local Products • Previous Articles     Next Articles

Diversified quality evaluation of wolfberry fruits in different production areas and strains based on principal component analysis method

WANG Dan-qinga, TIAN Yingb, HE Juna, QIN Kena, JIAO En-ninga   

  1. a. Institute of Wolfberry Science; b. Institute of Forestry, Grassland Ecology, Ningxia Academy of Agriculture, Forestry Sciences, Yinchuan 750002, China
  • Received:2023-08-31 Online:2024-10-25 Published:2024-11-05

Abstract: Taking four varieties of wolfberries Ningqi No. 1(N1), Ningqi No. 7(N7), Ningnongqi No. 15(7-8), Keqi6082(14-02) from Luhuatai Garden Farm in Yinchuan City of Ningxia, Siying in Haiyuan County of Ningxia and Nuomuhong Farm in Qinghai as test materials, the differences in external quality (average single fruit weight, transverse and longitudinal diameters, fruit shape index) and intrinsic quality (total sugar, polysaccharide, betaine, carotenoids) were analyzed and compared, and a comprehensive evaluation model was established by principal component analysis for comprehensive quality evaluation. The results showed that there were significant differences in the quality of wolfberries in different strains in different production areas. The synthesis of seven quality traits into three principal component factors could reflect the original data information of 84.807% of the quality of wolfberries. The results of the comprehensive evaluation of principal components showed that the fruit quality of 14-02 and 7-8 in Qinghai as well as 14-02 in Haiyuan County, Ningxia was good. The principal component analysis method could comprehensively evaluate the quality of each strain of wolfberry, provide data reference for the subsequent quality evaluation research of wolfberry fruit in different production areas and strains, and also provide theoretical guidance for the selection of wolfberry production area.

Key words: wolfberry, producing areas, fruit quality, principal component analysis, comprehensive evaluation

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