CropSyst is one of the most important process-oriented simulation models largely used for field crops all over the world to study the effect of climate, soil and management practices on crop productivity. In the present study, we have calibrated and validated the CropSyst model for groundnut crop grown at farmer’s field in IGNP Stage-II of Bikaner. CropSyst model was calibrated using the experimental data of crop parameters, soil profile data and observed daily weather data of experimental site for 2012 and validated the experimental data of crop growth and yield parameters for 2013. The results of the study showed that the CropSyst model simulated the crop growth parameter data viz. green area index, seed yield, above ground biomass and N-uptake of groundnut reasonably well. The seed yield, above ground biomass and N- uptake was validated well by the model with relative error of 3.3, 2.2 and 8.4 %, respectively. The total water applied in groundnut was 728.9 and 619.6 mm in 2012 and 2013, respectively out of this 664.9 and 530.5mm consumed in evapotranspiration.
An experiment entitled “Evaluation of the CropSyst model to simulate the effect of irrigation and nitrogen levels on clusterbean” was carried out at village Bajju, Bikaner, Rajasthan during kharif season of 2016. The treatment comprising 3 levels of irrigation (100, 200 and 300 mm) and 4 levels of nitrogen (0, 20, 40 and 60 kg N/ha) comprising a total of 12 treatment combinations in split plot design with four replications. The simulation of CropSyst model was utilized to quantify and verify the interactive effect of different irrigation and nitrogen treatments on the productivity of clusterbean using measurements from field experiment. The soil of site are loamy sand having 86.3, 7.8 and 5.9 % of sand, silt and clay, respectively in 0-15 cm soil depth with pH 8.1 and low soil organic matter content (0.13%). The prediction of the model for seed yield and biomass was acceptable with 17.1 and 22.1 % of RMSE which may be considered good prediction by the model. However, the simulated N-uptake was over predicted by model and did not agreed with field measurements with 39.8% RMSE. The soil moisture content at different stages of growth was well simulated by CropSyst. The RMSE of moisture content ranged from 0.0123 to 0.0278 in clusterbean.
Effective management of water for crop production in water scarce areas requires efficient approaches for improving water productivity.These include effective management practices, growing high value water efficient crops and cropping systems. The crops grown in IGNP stage II are high
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