摘要
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 ,通过定量计算动态增产系数 ,建立了具有时空适应性的小麦目标产量设计知识模型 ;通过定量计算小麦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、泰安、保定和太原 5个不同生态点的不同年型每日气象资料以及不同历史平均产量水平、土壤肥力和肥水管理水平 ,对目标产量设计模型进行了实例分析 ;利用广州、南京、泰安、北京、哈尔滨 5个不同生态点常年气象资料以及 15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 。
Based on integrating the effects of yield potential of photosynthesis and temperature, average yield level of last three years, soil fertility, fertilization and water management level and production technology level on yield increment, the dynamic yield increment index was quantified and a wheat knowledge model for design of target yield under different temporal and spatial environments was developed through knowledge engineering and system analysis method. By quantitatively calculating suitability of variety characteristics to environmental conditions and production requirements, a knowledge model for variety selection was established. Case studies on the target yield design with the data sets of five different eco-sites, three climatic years and average yield levels of last three years, two soil fertility levels and three fertilization and water management levels, and on suitable variety selection models with the data sets of five different eco-sites, normal climatic year and fifteen typical varieties indicated a good performance of the model system in decision-making and wide applicability.
出处
《应用生态学报》
CAS
CSCD
2004年第2期231-236,共6页
Chinese Journal of Applied Ecology
基金
国家自然科学基金重点项目 ( 3 0 0 3 0 0 90 )
国家"863"计划资助项目 ( 2 0 0 1AA115 42 0
2 0 0 1AA2 45 0 41)
关键词
小麦
目标产量
品种选择
知识模型
Wheat, Target yield, Variety selection, Knowledge model.
