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运用电子计算机,对福建水稻不同生态类型的10个苗情县8年的苗情资料,进行定量研究。在计算机上建立苗情数据库、气象数据库。经数理统计分析,3年来筛选出杂交、常规早稻、杂交晚稻等多种水稻类型的苗情性状、生育期和产量的最佳预报模型85个。1990年在10个县点发出预报1205项次,经验证,准确率高的模型达84％以上,初步形成综合预报管理系统,投入生产示范。应用这些模型,只要建立苗情观察点,用前一阶段苗情有关性状等,代入方程,就可提前15～30天左右预报下一阶段将要出现的苗情性状,超前采取促控措施,指导大田高产栽培。
Using electronic computers, quantitative research was conducted on the seedling data of 10 Miaoqing counties with different ecological types in Fujian Province for eight years. In the computer to establish seedling database, meteorological database. After mathematical statistics analysis, the best forecasting model of seedling traits, growth period and yield of 85 hybrid rice varieties, conventional early rice and late hybrid rice were screened in the past three years. In 1990, 1205 forecasts were made in 10 counties. The models with high accuracy and accuracy were over 84%. The comprehensive forecast management system was initially established and put into production demonstration. Apply these models, as long as the establishment of seedling observation points, with the previous stage of the seedling-related traits, into the equation, you can predict 15 to 30 days ahead of the next stage will be expected to emerge Miao Emotion traits, take pro-control measures to guide Field high-yield cultivation.