Performance of SWAP Model in Estimating Corn Production under Deficit Irrigation
2013
Karimi, Shahram | Asadi, Rasoul
Using mathematical models for irrigation management have great impacts on increasing irrigation efficiency and crop yield. Therefore, in order to evaluate the SWAP model performance in estimating corn production under water stress, a field experiment was conducted on grain maize in Urzuieh plain of Kerman province in Iran, during 2009 and 2010. The experimental design was split plot in randomized block with four replications. Water was used at four levels (100%, 80%, 60% of maize water requirement and a control treatment consisting of the amount of water used by the local farmers) as the main factor and the three varieties of maize (single cross 704, 700,404) were as the sub factor. The results showed perfect compliance of yield and leaf area index (LAI) between values simulated by the model and measured values in the field. In the two study years, R2 between the measured yield and values simulated by the model were 0.99 and 0.998, respectively, while the corresponding R2 for LAI were 0.86 and 0.87. Considering the salinity of irrigation water (EC = 4 dS/m), the volume of water for maximum relative yield (77%) was found to be 11000 cubic meter per hectare. Moreover, evaluation of water salinity levels, indicated 7 present yield reduction per 2 dS/m increase in water salinity. Therefore, calibrated SWAP model can be used as an instrumental tool for calculating all parameters of plant at field scale, with time and cost saving.
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Эту запись предоставил Soil and Water Research Institute