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分层聚类分析法在小麦区域试验中的应用
引用本文:张应香,易宏岩,陈濯. 分层聚类分析法在小麦区域试验中的应用[J]. 信阳农业高等专科学校学报, 2008, 18(3): 121-123
作者姓名:张应香  易宏岩  陈濯
作者单位:信阳市农业科学研究所,河南,信阳464000
摘    要:区域试验试点选取的正确与否及试点的多少,关系到试验的代表性及结果的可靠性。本文采用分层聚类分析法,对国家黄淮麦区19个试验点的小麦区域试验产量资料进行了分析。结果表明,黄淮麦区的19个试验点可划分为16类,试验点的选取基本切合实际。

关 键 词:分层聚类分析法  小麦  区域试验

Layered clustering method applied in regional experiment of wheat
ZHANG Ying-xiang,YI Hong-yan,CHEN Zhuo. Layered clustering method applied in regional experiment of wheat[J]. Journal of Xinyang Agricultural College, 2008, 18(3): 121-123
Authors:ZHANG Ying-xiang  YI Hong-yan  CHEN Zhuo
Affiliation:ZHANG Ying-xiang,YI Hong-yan,CHEN Zhuo(Xinyang Institute of Agricultural Sciences,Xinyang 464000,China)
Abstract:How many trial sites and selection of these correct or not directly relate to representativeness of experiment and dependability of its results.A layered clustering method was applied to analyze the data of wheat regional experiment yield in Huang-Huai Wheat Growing Region.The results showed that nineteen trial sites were divided into sixteen classes,so they weren't thorough appropriate to choose.
Keywords:layered clustering method  wheat  regional experiment  
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