水稻栽培适宜品种选择的知识模型

在阅读大量献资料及咨询农学专家的基础上，运用知识工程和系统建模方法，总结、归纳和提炼水稻品种选择与品种类型、生态环境和农作制度之间的动态关系，定量计算了水稻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。该模型可用于定量设计不同环境和生产条件下水稻种植的适宜品种。利用沈阳、南京、常德、昆明和广州5个代表性生态点的常年逐日气象资料、当地的生产条件以及24个不同品种资料，对品种选择知识模型进行了实例分析。结果表明模型预测结果与当地实际情况基本吻合。从而证明知识模型能有效地依据决策点的自然资源条件．对决策点适宜种植品种的选择具有较好的解释性和可靠性。

A knowledge model for selection of suitable variety in rice production

By summarizing,inducting and extracting the dynamic relationships between variety selection and variety type,ecological conditions and farming system on the basis of literature study and expert consulting,suitability of variety characteristics under diverse environmental conditions and production requirements was qualified,and a knowledge model for design of suitable variety was developed through knowledge engineering and system analysis methods.The model can reliably select the suitable variety under different environments and production systems.Case studies on the model with the data sets of daily weather conditions,24 typical varieties and farming systems at 5 different eco-sites(Shenyang,Nanjing,Changde,Kunming and Guangzhou)indicate a good performance of the model system in decision-making and wide applicability.