湖北农业科学 ›› 2024, Vol. 63 ›› Issue (10): 85-90.doi: 10.14088/j.cnki.issn0439-8114.2024.10.015

• 园艺·特产 • 上一篇    下一篇

基于主成分分析法的不同产区及品种枸杞果实多元化质量评价

王丹青a, 田英b, 何军a, 秦垦a, 焦恩宁a   

  1. 宁夏农林科学院,a.枸杞科学研究所; b.林业与草地生态研究所,银川 750002
  • 收稿日期:2023-08-31 出版日期:2024-10-25 发布日期:2024-11-05
  • 通讯作者: 秦 垦(1971-),男,宁夏石嘴山人,研究员,主要从事枸杞育种与栽培技术的研究工作,(电话)18909577477(电子信箱)qinken7@163.com。
  • 作者简介:王丹青(1991-),女,宁夏吴忠人,研究实习员,硕士,主要从事农业资源利用与植物保护的研究工作,(电话)18095109175(电子信箱)303534518@qq.com。
  • 基金资助:
    宁夏枸杞区划与品种区域适应性标准体系研究(2022BBF02009)

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 Published:2024-10-25 Online:2024-11-05

摘要: 以宁夏银川市芦花台园林场、宁夏海原县四营、青海诺木洪农场的4种品种枸杞果实宁杞1号(N1)、宁杞7号(N7)、宁农杞15号(7-8)、科杞6082(14-02)为试验材料,分析比较其外在品质(平均单果重、横纵径、果形指数)和内在品质(总糖、多糖、甜菜碱、类胡萝卜素)的差异,利用主成分分析建立综合评价模型进行品质综合评价。结果表明,不同产区不同品种的枸杞果实品质存在明显差异。将7个品质性状综合成3个主成分因子,可反映枸杞品质84.807%的原始数据信息量。主成分综合评价结果表明,青海产区“14-02”、“7-8”和宁夏海原产区“14-02”果实品质较好。利用主成分分析法能够综合评价各品种枸杞的品质,为后续不同产区及品种枸杞果实的品质评价研究提供数据参考,也可为枸杞的产区选择提供理论指导。

关键词: 枸杞, 产区, 果实品质, 主成分分析, 综合评价

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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