浙江农业科学 ›› 2025, Vol. 66 ›› Issue (9): 2253-2259.DOI: 10.16178/j.issn.0528-9017.20240613

• 蚕桑与特种养殖 • 上一篇    下一篇

浙江12种桑树叶片营养品质的综合评价

刘岩(), 林天宝, 魏佳, 刘培刚, 朱燕, 吕志强*()   

  1. 浙江省农业科学院 蚕桑与茶叶研究所,浙江 杭州 310021
  • 收稿日期:2024-07-25 出版日期:2025-09-11 发布日期:2025-10-14
  • 通讯作者: 吕志强(1965—),研究员,研究方向为桑树育种栽培研究,E-mail:13958131715@139.com
  • 作者简介:刘岩(1976—),副研究员,主要从事桑树育种栽培研究,E-mail:mayanly@sina.com
  • 基金资助:
    “十四五”农业新品种选育重大育种专项蚕桑协作项目(2021C02072);财政部和农业农村部国家现代农业产业技术体系项目(CARS-18-ZJ0203);浙江省农科院科学院科技新成果示范推广项目(tg2022015)

Comprehensive evaluation of nutritional quality of 12 mulberry leaves in Zhejiang Province

LIU Yan(), LIN Tianbao, WEI Jia, LIU Peigang, ZHU Yan, LYU Zhiqiang*()   

  1. Institute of Sericulture and Tea, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, Zhejiang
  • Received:2024-07-25 Online:2025-09-11 Published:2025-10-14

摘要:

桑叶富含丰富营养物质和多种天然活性成分,已被用于养蚕、食品、制药等领域,具有广阔的应用前景。为分析评价桑叶营养品质,本研究对浙江12种桑树品种的叶片进行营养成分检测,结果表明:不同品种间各营养成分含量呈现一定差异,不同指标间的变异系数也不同。经聚类分析将桑树叶片,分为富含多糖、脂肪类,富含生物碱类和富含氨基酸类。结合主成分分析、相关性分析和熵权法综合分析,确立桑叶营养品质中粗蛋白含量、粗纤维含量和总多糖含量这3个核心评价指标的权重系数分别为58.26%、29.68%和12.06%,经灰色关联度加权法分析的综合评价表明,综合品质排在前2位的为农桑8号和农桑14号。综上,本研究建立了桑叶营养品质综合评价方法,为今后桑树种质资源评价、新品种选育和利用提供指导。

关键词: 聚类分析, 主成分分析, 熵权法, 灰色关联度, 桑叶

Abstract:

Mulberry leaves contain rich nutrients and various natural bioactive ingredients, which have been used in sericulture, food, and pharmacy with vast application prospect. To analyze and evaluate the nutritional quality of mulberry leaves, this study conducted nutrient composition testing on the leaves of 12 mulberries varieties in Zhejiang Province. The results showed that there were differences in the content of various nutrients among different varieties, and the coefficient of variation between different indicators was also varied. According to cluster analysis, mulberry leaves could be divided into those rich in polysaccharides and fats contents, those rich in alkaloids contents, and those rich in amino acids contents. By combining principal component analysis, correlation analysis, and the entropy weight method, the weight coefficients of the three core evaluation indicators of crude protein content, crude fiber content, and total polysaccharide content in mulberry leaf were established as 58.26%, 29.68%, and 12.06%, respectively. The comprehensive evaluation analyzed by the grey correlation weight method showed that the top two in terms of comprehensive quality were Nongsang 8 and Nongsang 14. In conclusoin, a comprehensive evaluation method for the nutrition quality of mulberry leaves was established, which will provide guidance for the evaluation of mulberry germplasm resources, selection and utilization of new varieties in the future.

Key words: cluster analysis, principal component analysis, entropy weight method, grey correlation, mulberry leaf

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