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洛阳市小麦白粉病测报技术研究
引用本文:杨辉,韩太国,戴林森,柴俊霞,张飞跃,王振声.洛阳市小麦白粉病测报技术研究[J].河南科技大学学报(农学版),2000,20(2):17-18,22.
作者姓名:杨辉  韩太国  戴林森  柴俊霞  张飞跃  王振声
作者单位:[1]洛阳市植保植检站.河南洛阳47l000 [2]偃师市农科所,河南偃师471900 [3]偃师市植保植检站,河南偃师471900
摘    要:以历史资料为据.建立了气象因素对小麦白粉病影响的数学模型.经过回验,可以作为超长期预测模型应用;用多元回归法筛选因子,对其进行标准化处理.建立模糊关系进行聚类分析,把洛阳市小麦白粉病的生态地理划分为3类;当经济允许损失水平为3.1%时.防治指标为3月中下旬的病情指数9。

关 键 词:洛阳市  小麦  白粉病  测报技术  气象因素  数学模型  发生期  发生程度  防治指标  生态地理

Study on predicting technology of wheat powdery mildew in Luoyang
YANG Hui ,HAN Tai guo ,DAI Lin sen et al..Study on predicting technology of wheat powdery mildew in Luoyang[J].Journal of Luoyang Agricultural College,2000,20(2):17-18,22.
Authors:YANG Hui  HAN Tai guo  DAI Lin sen
Institution:YANG Hui 1,HAN Tai guo 1,DAI Lin sen 2 et al.
Abstract:According to historical data ,the effect of meterology factors on wheat powdery mildew was used to make a mathematics model which could be applied on super long term forecast model after a second examination. After sieving factors by pluratism regression method, dealing with it up to standard and analy zing equivosal relationship comprehensively, the ecology geography of wheat powdery mildew could be divided into three kinds. When the level of economic permitting demage was 3.1%, the prevention and cure quota was illness index number 9 in the middle and late March.
Keywords:powdery mildew of wheat  predicting technology
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