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应用生态学报 ›› 2004, Vol. ›› Issue (4): 634-638.

• 研究论文 • 上一篇    下一篇

水稻适宜播种期设计的动态知识模型研究

严定春, 朱艳, 曹卫星   

  1. 南京农业大学农业部作物生长调控重点开放实验室, 南京 210095
  • 收稿日期:2002-12-30 修回日期:2003-04-25 出版日期:2004-04-15
  • 通讯作者: 曹卫星
  • 基金资助:
    国家自然科学基金重点项目(30030090);国家“863”计划资助项目(2001AA245041,2001AA115420)

A dynamic knowledge model for designing suitable sowing date of rice

YAN Dingchun, ZHU Yan, CAO Weixing   

  1. MOA Key Laboratory of Crop Growth Regulation, Nanjing Agricultural University, Nanjing 210095, China
  • Received:2002-12-30 Revised:2003-04-25 Online:2004-04-15

摘要: 在查阅研究大量文献资料和咨询作物栽培专家的基础上,总结、归纳和提炼水稻生长发育特性与品种类型、生态环境和耕作制度的动态关系,运用知识工程和系统建模方法,提出了具有广泛时空适应性的水稻适宜播期动态知识模型,该模型可用于精确设计不同环境和生产条件下水稻品种的适宜播期.为了验证模型的通用性,利用南京、天津、广州、昆明、沈阳、常德和乌鲁木齐等7个代表性生态点的常年、偏暖年和偏冷年每日气象资料以及各点典型品种资料、不同育秧方式和不同稻作制度,对播期设计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利用好决策地点的光温水等自然资源,模型具有较好的广适性和决策性.

关键词: 水稻, 适宜播期, 知识模型, 专家系统

Abstract: Based on the summarization,induction and extraction of dynamic relationships between growth characteristics,variety type,farming system and ecological conditions via reading literature and consulting experts,a knowledge model for designing the suitable sowing date of rice under varied environments was developed through knowledge engineering and system analysis methods.The model could precisely quantify the suitable sowing date under different environments and production systems.Case studies for the model with the data sets of daily weather conditions,typical varieties,seedling nursery methods and farming systems at 7 different eco-sites indicated a good performance of the model system in decision-making and its wide applicability,and the model could help farmers to use the resources such as sunshine and water effectively.

Key words: Rice, Suitable sowing date, Knowledge model, Expert system

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