A Knowledge Model for Suitable Dynamic Growth Indices in Winter Wheat
Tian YongChao · Zhongguo nongye Kexue · 2004
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.