节点文献

河南鸡公山茶园春茶产量与小气候关系研究

Relationship between microclimatic factors and yield of spring tea Camellia sinensis (L.) O. Kuntzein Henan Jigongshan Nature Reserve

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 喻泓王贤赟杨晓晖李海涛肖曙光杜化堂侯正辉

【Author】 YU Hong1, WANG Xian-Yun2, YANG Xiao-Hui1, LI Hai-Tao3, XIAO Shu-Guang4, DU Hua-Tang4, HOU Zheng-Hui4 (1. Forestry Research Institute, Chinese Academy of Forestry, Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing 100091, China; 2. Xifengsi Forestry Farm, Mentougou District, Beijing 102300, China; 3. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 4. Henan Jigongshan National Nature Reserve Administrative Bureau, Xinyang 464133, China)

【机构】 中国林业科学研究院林业研究所国家林业局林木培育重点实验室北京市门头沟区西峰寺林场中国科学院地理科学与资源研究所河南鸡公山国家级自然保护区管理局

【摘要】 小气候因子对春茶产量有着重要影响,建立其相关关系可以更好地为春茶的生产管理服务。本文测定记录了春茶生产期间18个小气候因子及每天茶叶的产量,应用多元统计分析方法建立了春茶产量与小气候因子的回归模型,并对茶树生长的小气候因子进行聚类分析和因子分析,以找出决定春茶产量的小气候因子及其组合。结果表明,春茶产量与大多数小气候因子间具有显著的线性回归关系,可以此对春茶产量进行预测预报。另外,采用逐步回归方法剔除次要的自变量因子,保留对春茶产量影响较大的小气候因子,最少可用7个自变量进行回归拟合。聚类分析可以把茶园小气候因子划分为表征水、热特征的4类。因子分析也表明,温度、水分及其组合是诸环境变量的公因子,具有较大的载荷。研究表明,采用较少的环境因子,回归模型仍具有显著性,这样可有效降低环境因子的监测和生产管理成本,为有计划地安排春茶生产和提高经济效益服务。

【Abstract】 Microclimatic factors have significant effects on yield of spring tea. Regression relations derived from these factors are crucial for the management of spring tea. 18 microclimatic factors and tea outputs were measured during spring tea harvest season. The relationships between yield of spring tea and microclimatic factors were explored. Using the multiple stepwise regression analysis, empirical yield models of spring tea were fitted to microclimatic factors, achieving a high confidence level. These models with different factors show similar and significant regression trends. Eighteen microclimatic factors are categorized into four groups through cluster analysis. Factor analysis indicates that common microclimatic factors of the environment variables are temperature, water and their combination factor, which own bigger load. In conclusion thus, an economic method can be established through measuring fewer microclimatic factors with significant regression models. Such economic methods can achieve similar outcomes with fewer investment, management and processing of spring tea. This can significantly benefit spring tea cultivation and economy.

【关键词】 茶园小气候气候因子回归模型春茶产量
【Key words】 Tea gardenMicroclimateClimatic factorsRegression modelSpring teaYield
【基金】 国家自然科学基金项目(30671722)资助
  • 【文献出处】 中国生态农业学报 ,Chinese Journal of Eco-Agriculture , 编辑部邮箱 ,2009年01期
  • 【分类号】S571.1
  • 【被引频次】9
  • 【下载频次】203
节点文献中: 

本文链接的文献网络图示:

本文的引文网络