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小麦品种慢条锈性因素的相关分析和聚类划分
引用本文:王保通,袁文换,李高宝,金欣藻,王芳.小麦品种慢条锈性因素的相关分析和聚类划分[J].植物保护学报,2000,27(1):53-58.
作者姓名:王保通  袁文换  李高宝  金欣藻  王芳
作者单位:陕西省农业科学院植物保护研究所,陕西省农业科学院植物保护研究所,陕西省农业科学院植物保护研究所,陕西省农业科学院植物保护研究所,陕西省农业科学院植物保护研究所 杨凌 712100,杨凌 712100,杨凌 712100,杨凌 712100,杨凌 712100
基金项目:国家“九五”攻关课题(96-005-01-02),陕西省攻关项目
摘    要:对82份小麦品种(系)进行大田成株慢锈性鉴定,并通过潜育期、病情指数和千粒重损失率等3个抗性组分的相关分析和品种聚类分析,将供试品种划分为5大类,即高度慢锈性品种、中度慢锈性品种、耐锈性品种、中度快锈笥品种和高度快锈性品种。划分结果与前人的经验划分结果符合率达92.68%,分别建立了5个判别函数。对3个抗性发的相关分析结果表明,潜育期与病情指数、千粒重损失率呈极显著负相关,且病情指数对千粒重损失率

关 键 词:小麦  慢锈  相关分析  聚类划分  品种  抗病育种

CORRELATION ANALYSIS OF SLOW-RUSTING FACTORS TO STRIPE RUST IN WHEAT CULTIVARS AND THE CLUSTERING
Wang Baotong,Yuan Wenhuan,Li Gaobao,Jin Xinzao and Wang Fang.CORRELATION ANALYSIS OF SLOW-RUSTING FACTORS TO STRIPE RUST IN WHEAT CULTIVARS AND THE CLUSTERING[J].Acta Phytophylacica Sinica,2000,27(1):53-58.
Authors:Wang Baotong  Yuan Wenhuan  Li Gaobao  Jin Xinzao and Wang Fang
Institution:Institute of Plant Protection, Shaanxi Academy of Agricultural Sciences, Yangling 712100,Institute of Plant Protection, Shaanxi Academy of Agricultural Sciences, Yangling 712100,Institute of Plant Protection, Shaanxi Academy of Agricultural Sciences, Yangling 712100,Institute of Plant Protection, Shaanxi Academy of Agricultural Sciences, Yangling 712100 and Institute of Plant Protection, Shaanxi Academy of Agricultural Sciences, Yangling 712100
Abstract:Slow-rusting of 82 Chinese cultivars (lines) to stripe rust was identified at boot stage of plant development in the fields. 5 resistance types were divided by means of correlation analysis of resistance components, namely latent period, disease index and lose rate of the weight of one thousand kernels, and clustering. The five types was highly slow-rusting, moderately slow-rusting, tolerant, moderately fast-rusting and highly fast-rusting, respectively. The result of the classification conformed to the experiential division by others at a rate of 92. 68%. The correlation analysis to the three resistance components indicates that latent period was negatively related to disease index and loss rate of the weight of one thousand kernels. The effect of diseases index on the loss rate of the weight of one thousand kernels was greater than that of latent period.
Keywords:wheat  slow-rusting  correlation analysis  clustering  
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