浙江农业学报 ›› 2026, Vol. 38 ›› Issue (6): 1087-1098.DOI: 10.3969/j.issn.1004-1524.20250552

• 未来食品与健康 • 上一篇    下一篇

基于土壤特性因素的不同区域西湖龙井茶品质研究

孙达1(), 毛斌瑀1, 黄旦益1, 崔宏春2, 夏兵3, 郑旭霞2,*()   

  1. 1 浙江经贸职业技术学院, 浙江 杭州 310018
    2 杭州市农业科学研究院, 浙江 杭州 310024
    3 浙江省茶叶集团股份有限公司, 浙江 杭州 310065
  • 收稿日期:2025-08-20 出版日期:2026-06-25 发布日期:2026-07-14
  • 作者简介:孙达,主要从事茶叶生物化学与茶文化方面的研究。E-mail:sunda1987@163.com
  • 通讯作者: *郑旭霞,E-mail:549510245@qq.com
  • 基金资助:
    浙江省教育厅科研项目(Y202250627);杭州市农科院科技创新与示范推广项目(2022HNCT-04)

Study on the quality of West Lake Longjing tea in different regions based on soil properties

SUN Da1(), MAO Binyu1, HUANG Danyi1, CUI Hongchun2, XIA Bing3, ZHENG Xuxia2,*()   

  1. 1 Zhejiang Institute of Economics and Trade, Hangzhou 310018, China
    2 Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
    3 Zhejiang Tea Group Co., Ltd., Hangzhou 310065, China
  • Received:2025-08-20 Published:2026-06-25 Online:2026-07-14

摘要:

为探究西湖龙井茶品质形成的土壤驱动机制,本研究选取西湖龙井茶不同保护区内6个典型产地的龙井43与群体种茶树为对象,分析其土壤理化性状与茶叶品质成分。结果表明,不同产区土壤养分特征差异明显,可划分为高磷锌型、高钾镁型和中等肥力异质型3大类型。基于土壤有机质、有效磷、汞、镉、铬、锌、全镁含量这7个关键指标建立的逐步线性判别分析(SLDA)模型对产区的判别准确率达90.5%。茶叶品质与土壤类型高度相关,高钾镁型土壤茶园的龙井茶水浸出物含量较高。与群体种相比,龙井43在外形和品质稳定性上表现更佳,但群体种在香气馥郁度上更具潜力。产区、品种及其交互作用对茶叶的水浸出物、游离氨基酸含量和含水量均有极显著(p<0.01)影响。本研究明确了土壤养分是导致不同产区西湖龙井茶风味差异的关键驱动因素,可为产地溯源、精准施肥和品种优化提供理论依据。

关键词: 龙井茶, 土壤理化性状, 感官品质, 理化成分, 逐步线性判别分析, k均值聚类

Abstract:

To explore the soil-driven mechanism underlying the quality formation of West Lake Longjing tea, this study selected tea plants of Longjing 43 and local populations from six typical production areas across different protection zones of West Lake Longjing tea. The soil physical and chemical properties and tea quality components were systematically analyzed. The results showed that soil nutrient characteristics differed obviously among various production areas, which could be classified into three categories: high phosphorus-zinc type, high potassium-magnesium type, and medium-fertility heterogeneous type. A stepwise linear discriminant analysis (SLDA) model was established based on seven key indicators, including soil organic matter, available phosphorus, mercury, cadmium, chromium, zinc and magnesium contents, which achieved a regional discrimination accuracy of 90.5%. Tea quality was highly correlated with soil types. Tea produced in the gardens with high potassium-magnesium soil exhibited a higher content of water extracts. Compared with the local populations, Longjing 43 presented superior performance in appearance and quality stability, while the local populations had greater potential in aroma intensity and richness. Production area, cultivar, and their interaction exerted highly significant (p<0.01) effects on the contents of water extracts, free amino acids and moisture in tea. This study identified soil nutrients as the key driver of flavor differentiation of West Lake Longjing tea from different production areas, and provided a theoretical basis for geographical traceability, precision fertilization and cultivar improvement.

Key words: Longjing tea, soil physical and chemical property, sensory quality, physicochemical composition, stepwise linear discriminant analysis, k-means clustering

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