油菜产量目标设计与品种选择的知识模型

运用知识工程和系统建模方法，在综合考虑决策点光温生产潜力、历史平均产量水平、土壤肥力、肥水管理水平和生产技术水平等诸多因子对增产系数影响的基础上，通过动态量化增产系数，建立了具有时空适应性的油菜产量目标设计知识模型；通过定量计算油菜品种特征值与环境因子和生产需求之间的符合度，建立了适宜品种选择的量化知识模型。利用南京、郑州和保定3个不同生态点的常年逐日气象资料以及不同品种类型资料对产量目标设计模型进行了实例分析；利用南京、仪征、如皋、郑州和保定5个不同生态点常年逐日气象资料以及13个不同品种资料对品种选择知识模型进行了实例分析。结果表明，所建知识模型具有较好的决策性和广适性。

A dynamic knowledge model for target yield design and variety selection in rapeseed

Based on integrating the effects of yield potential from irradiation and temperature,average yield level of last three years,soil fertility,fertilization and water management levels and production technology level on yield increment,the dynamic yield increment index was quantified and a rapeseed knowledge model for design of target yield under different temporal and spatial environments was developed through knowledge engineering and system modeling method.By quantitatively calculating suitability of variety characters to environmental conditions and production requirements,a knowledge model for variety selection was established.Case studies on the model of target yield design with the data sets of three different eco-sites under normal climatic year,on the model of suitable variety selection with the data sets of five different eco-sites under normal climatic year and thirteen typical varieties indicated a good performance of the model system in decision-making and wide applicability.