冬小麦适宜播期和播种量设计的动态知识模型研究

 运用知识工程和系统建模方法 ,在总结、归纳和提炼冬小麦生长发育与品种类型、生态环境和生产技术关系的基础上 ,建立具有时空适应性的冬小麦适宜播期、播种量设计动态知识模型 ,可用于精确定量不同环境和生产条件下冬小麦品种的适宜播期、基本苗和播种量。利用南京、郑州、泰安、保定、太原 5个不同生态点的常年、偏暖年和偏冷年每日气象资料以及各点不同土壤肥力和典型品种资料对播期设计模型进行了实例分析 ;并利用基本苗和播种量设计模型对泰安地区不同品种、不同土壤类型、不同土壤肥力、不同播期和不同产量水平下的基本苗和播种量进行了设计。结果表明 ,知识模型对播期和播种量设计均具有较好的决策性、解释性和适用性。

A Dynamic Knowledge Model for Design of Suitable Sowing Date and Sowing Rate of Winter Wheat

Based on the summarization, induction, and extraction of dynamic relationships of winter wheat growth characteristics to ecological environments and production conditions, a winter wheat knowledge model, which can be used for decision making of suitable sowing date, population density and sowing rate of different varieties under different spatial and temporal environments, was developed through knowledge engineering and system analysis method. Case studies on the sowing date design model with the data sets of five different eco sites, three climatic years and soil fertility levels, and on the population density and sowing rate design model with the data sets of two different variety types, three different soil types, soil fertility levels, sowing dates and yield levels show a good performance of the model system in decision making, explanation and wide applicability.