Study On Simulation Model Of Potassium Effect On The Growth, Development And Yield Of Winter Wheat

A dynamic computer simulation model of winter wheat was established from the data of the fields at AUH(the Agricultural University of Hebei) during 2000-2001 and validated from the data of the experiment of nitrogen, phosphorus and potassium at Shenze county during 1985-1986. This model was used for reference of information not only from field data but also from other winter growth and development models.This model was consisted of six submodels: weather data generator, phenology submodel, photosynthesis biomass production submodel, crop growth dynamic submodel, dry matter production and yield formation submodel, and wheat potassium absorption and partitioning submodel.The model was founded mainly from the data of Ceres-wheat model. The weather data generator submodel was expressed from David J Connor's weather data generator in Melborne. The phenology submodel was simulated by biological multiplication index. The photosynthesis biomass production submodel was used from reference of rice. The crop growth submodel was simulated wheat leaf development and leaf index dynamic state and tillers. The dry matter production and yield submodel simulated the partitioning index of photosynthesis productivity. The wheat potassium absorption and partitioning submodel was the center of the model in which potassium was changed in different organs and different stages.The model was validated against field data from the experiment of nitrogen, phosphorus, potassium at Shenze during 1985-1986 and experiment of potassium60at AUH during 2000-2001. It showed that this model could generally estimate leaf index, potassium in different organs, yield, and be sensitive to the quantity of fertilizer of potassium, so the model could predict the growth and development of winter wheat successfully. The model needed to be improved by adding microelements and different data from different fields.