油菜肥料运筹的动态知识模型

通过分析和提炼油菜施肥管理方面的最新研究资料，利用养分平衡原理，以产量目标和土壤理化特性等为基础，建立了系统化和广适性的油菜肥料运筹动态知识模型。该模型可用于精确定量不同环境条件下油菜生产过程中的总施氮量、施磷量、施钾量和施硼量、有机氮与无机氮的比例以及氮、磷、钾基肥与追肥的比例等。利用南京、仪征和如皋3个不同生态点常年气象资料、不同土壤类型和不同产量目标等对所建肥料运筹知识模型进行了实例分析，结果表明，所建知识模型总体上具有较好的决策性和适用性。

A dynamic knowledge model for fertilization management in rapeseed

By analyzing the latest research on fertilization management in rapeseed,a dynamic knowledge model for decision-making on total rates of nitrogen,phosphorus,potassium and boron,ratios of organic to inorganic nitrogen and of basal to dressing nitrogen,phosphorus and potassium under different environments was developed with the principle of nutrient balance and by integrating the factors of grain yield target and soil characters.With the data sets of different eco-sites,soil types and target yields,case studies indicated that the model had a good performance in decision-making and could be applied widely.