Based on the wheat powdery mildew investigation data and corresponding meteorological data from 1991 to 2010 in Zhenping county and Yichuan county, from 1991 to 2000 in Anyang county and Xiangcheng city,the meteorological factors affecting wheat powdery mildew occurrence degree were ana-lyzed,and Henan wheat powdery mildew regional and comprehensive forecasting models were built.The result showed that the wheat powdery mildew occurrence degrees of Zhenping, Yichuan, Anyang and Xiangcheng were all related to the relative humidity in March and the temperature and rainfall coefficient in late March last year,and the correlation coefficients of the four stations all passed significance test ofα=0.01.Henan wheat powdery mildew regional and comprehensive forecasting models were built using these two factors.Using the regional models to forecast the wheat powdery mildew occurrence degrees of the four stations in 2012,the forecasting degrees of three stations were the same as the real situation,and the other one had one degree of error,so the results were all in specified range.The comprehensive model was used to forecast the wheat powdery mildew occurrence degrees of Henan in 2011 and 2012,and the forecasting accuracy rate was 100%.The models can forecast the wheat powdery mildew occurrence de-gree in parts and all of Henan, and provide references for holding the wheat powdery mildew occurrence degree globally.%利用镇平县和伊川县1991—2010年、安阳县和项城市1991—2000年的小麦白粉病调查资料和气象观测资料，通过数理统计的方法分析影响小麦白粉病发生等级的各种气象因子，建立河南省小麦白粉病分区预测模型，并以此为基础建立河南省综合预测模型。研究表明，镇平、伊川、安阳和项城小麦白粉病发生等级均与3月份的相对湿度和上年3月下旬的温雨系数显著相关。利用以上2个气象因子建立了河南省小麦白粉病分区发生等级预测模型和综合发生等级模型。利用分区模型对2012年4个站点小麦白粉病发生等级进行预测，有3个站预测等级与实际等级相同，1个站误差在1个等级之内，基本上达到了预测要求。利用综合模型对2011年和2012年河南省小麦白粉病综合发生等级进行预测，预测结果准确率达100％。因此，建立的模型可以用于预测河南各分区和全省的小麦白粉病发生等级。
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