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平凉市小麦蚜虫发生程度预测模型研究
引用本文:刘晓莉,马丁丑.平凉市小麦蚜虫发生程度预测模型研究[J].甘肃农业科技,2012(7):32-34.
作者姓名:刘晓莉  马丁丑
作者单位:甘肃省平凉农业学校;甘肃农业大学经济管理学院
摘    要:利用平凉市30 a小麦蚜虫发生危害资料和气象资料,通过综合分析筛选出了影响平凉市小麦蚜虫发生程度的主要因子。采用逐步回归法建立了平凉市小麦蚜虫发生程度预测模型,回测结果表明,模型预测准确率为96.6%,与实际程度吻合。

关 键 词:小麦蚜虫  发生程度预测  模型  平凉市

Study on Prediction Model of Occurrence Degree of Wheat Aphid in Pingliang City
LIU Xiao-li,MA Ding-chou.Study on Prediction Model of Occurrence Degree of Wheat Aphid in Pingliang City[J].Gansu Agricultural Science and Technology,2012(7):32-34.
Authors:LIU Xiao-li  MA Ding-chou
Institution:1.The Pingliang Agricultural School,Pingliang Gansu 744000,China;2.College of Economics and Management,Gansu Agricultural University,Lanzhou Gansu 730070,China)
Abstract:Using the occurrence hazard data and meteorological data of Pingliang wheat aphid in 30 years,it is screened out that the main factors of the degree occurrence of wheat aphid in Pingliang city through a comprehensive analysis.The prediction model of occurrence degree of Pingliang wheat aphid were established by the stepwise regression method,and the measured results showed that the model prediction accuracy was 96.6%,fully consistent with the actual extent.
Keywords:Wheat aphid  Predict the occurrence degree  Model  Pingliang city
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