Document Type : Research Paper
Authors
1
Former M.Sc. Student, Department of Water Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran
2
Assistant Professor, Department of Water Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.
3
Retired Professor, Department of Water Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran
4
Associate Professor, Department of Water Engineering, College of Agriculture, Shiraz University, Shiraz, Iran
5
Professor of Agrometeorology, Washington State University, Washington, USA
Abstract
In this study, a complex crop model was developed that integrates the various components of SWAP and CSM-CERES-Maize (DSSAT V4.0) model with the purpose of developing a more efficient model and according to the internal requirements. In the hybrid model, CERES-Maize supplies SWAP model with daily leaf area index and root depth and on the other hand SWAP model supplies CERES-Maize with daily weather data, soil water content, actual and potential soil evaporation and plant transpiration calculated from Penman-Monteith equation and finally the actual root water uptake. For assessing the performance of new model the data collected from maize cultivated in Varamin region were used. According to the comparison of the both models in many different aspects, it seems that both models can simulate very well the maize production. A significance difference was found in their prediction of average and total simulated biomass. The average and summation of Absolut error in simulation of final biomass for developed and original version of model were 1021, 4207 Kg/ha and 1271, 5978 Kg/ha respectively. Generally, because the simulation of target parameter (biomass) was fairly successful, it can be concluded that the model is enough ready for more deep research on maize production related topics.
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