To acquire understanding of the AquaCrop model for crop yield prediction and to calibrate the AquaCrop model in Sweet corn for Northern Telangana zone, a field experiment was conducted for the rabi season 2020–21 at College farm, Agricultural College, Jagtial, PJTSAU. The experimental soil is sandy loam texture, slightly alkaline, and non-saline. Flood irrigation was used to irrigate the sweet corn crop. On the basis of crop evapotranspiration, irrigation was predominantly planned scheduled (ETc). Climate, crop, soil type, management (irrigation), and initial soil water conditions were all provided as input files to the AquaCrop model. The yield and water productivity are simulated using the model. Root mean square error (RMSE) and percentage error(PE) were used to assess the Performance of the model. The results showed that the output actually used is 11% less than the output calibrated using the AquaCrop model. By changing the values of the crop growth coefficients, the model's error in predicting the difference between the measured and simulated grain yield can be further diminished. AquaCrop's simulations of water productivity generally agree with the facts collected through measurement. From the study, it can be concluded that the AquaCrop model is suitable for predicting the grain yield, biomass, water productivity, and green canopy cover in sweet corn for Northern Telangana zone with acceptable under and over range of predictions.

Aquacrop, evapotranspiration, canopy cover, water use efficiency and water productivity

1. AquaCrop is suitable for yield prediction in Sweet corn in Northern Telangana Zone. 2. The resulting yield was 11% less than that calibrated with the AquaCrop model. The difference between the measured and simulated grain yields can be minimised by modifying the crop growth coefficient values. The results of AquaCrop's simulation of water production and the collected data agree fairly well. According to the findings of this study, the AquaCrop model is appropriate for forecasting Sweet corn crop production, biomass, water productivity, and green canopy cover in acceptable and predictable ranges. The model can be used for the Northern Telangana zone's sweet corn production.

V. Sai Pratyusha, Y. Siva Lakshmi, Guguloth Pragna, B. Apoorva, S. Rushyamee and Md. Salman Pasha (2022). Performance Evaluation of Aquacrop Model for Sweet Corn for Northern Telangana Zone. Biological Forum – An International Journal, 14(4a): 624-632.