摘要
运用知识工程和系统建模方法,在总结、归纳和提炼油菜生长发育与生态环境、品种类型、生产技术水平和产量目标关系的基础上,建立了具有时空适应性的油菜播栽方案设计的动态知识模型,可用于精确定量不同环境和生产条件下油菜品种的适宜播期、基本苗、播种量和移栽方案.利用南京、郑州和保定3个地点的常年逐日气象资料以及各点不同品种和播种方式资料对播栽方案设计模型进行实例分析,结果表明,该知识模型对播期和基本苗设计均具有较好的决策性、解释性和适用性.
Based on the sum-up and abstraction of the relationships of rapeseed growth characters with ecological environment, cultivar type, production condition and yield target, a dynamic knowledge model was developed by using knowledge engineering and system modeling method, which could be used for designing a suitable sowing and transplanting scheme of different rapeseed varieties under different spatial and temporal environments. Case studies on the knowledge model with the data sets of three different sites, nine different variety types, and two different sowing styles indicated a good performance of the model system in decision-making, explanation, and wide applicability.
出处
《应用生态学报》
CAS
CSCD
北大核心
2007年第2期322-326,共5页
Chinese Journal of Applied Ecology
基金
国家高技术研究发展计划项目(2003AA209030)
国家自然科学基金重点资助项目(30030090)
关键词
油栗
播期
播种量
移栽方案
知识模型
rapeseed
sowing date
sowing rate
transplanting scheme
knowledge model
