冬小麦生长适宜动态指标的知识模型

A Knowledge Model for Suitable Dynamic Growth Indices in Winter Wheat

在分析和提炼小麦栽培理论与技术最新研究资料的基础上 ,通过定量描述冬小麦生长发育动态与品种类型、生态环境和生产技术水平之间的动态关系 ,以基于生理发育时间的动态生长度日为主线 ,建立了系统化和广适性的冬小麦生长适宜动态指标的知识模型 ,可为不同环境条件和冬小麦品种栽培过程中的苗情诊断提供定量化的动态生长指标 ,包括主茎叶龄、叶面积指数、群体茎蘖数和干物质积累量等。利用不同地点的常年每日气象资料以及不同品种类型、不同产量目标和不同播期资料对所建知识模型进行了实例分析 。

Based on the analysis and extraction of the newest researches on wheat cultivation theories and technologies, a winter wheat knowledge model was developed driven by physiological development time-based growing degree days and by quantitative description of the relationships of wheat growth and development dynamics to variety traits, eco-environments and production levels. The model can be used to predict the dynamic growth indices as main-stem leaf age, leaf area index, population stem and tiller number and dry matter accumulation for diagnosis of wheat growth and development status with different varieties, eco-environments and production levels. Case studies with the data sets of normal climatic year, different variety types, yield levels and sowing dates at different eco-sites indicate a good performance of the model system for prediction and wide applicability.