论文部分内容阅读
据１９８０～１９９５年间的有关数据资料，以月均温和降雨量为预测因子，以６月下旬烟草花叶病病情指数为预报量，对山东青州烟区花叶病的发生流行初步建立预测模型，通过验证该模型准确度高，可适用于黄淮烟区的烟草花叶病流行中期预测
According to the relevant data from 1980 to 1995, with the monthly average temperature and rainfall as predictors, the forecast index of tobacco mosaic disease in late June was used as the prediction model to establish a predictor model of the prevalence of mosaic disease in tobacco growing areas in Qingzhou, Shandong Province. By verifying the high accuracy of the model, it can be applied to the medium-term forecast of tobacco mosaic disease in Huang-Huai tobacco-growing areas