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With the evident climatic threats and the limitation of agronomic information for the bean crop, the use of agricultural models is necessary to broaden and disseminate technical knowledge of crop forecasting. The aim of this work was to evaluate the FAO AquaCrop model for bean crop under different levels of irrigation water in agrometeorological conditions of Northeastern Brazil at megatheramal and humid climate. The research was conducted in the period from 11/17/2015 to 02/01/2016. The experimental design was randomized block with four replicates. Treatments were composed of six levels of irrigation on the basis of crop evapotranspiration (ETc) fractions (25, 50, 75, 100, 125 and 150% of ETc). The irrigation effect was evaluated from biomass, dry matter and grain yield data that were observed and simulated using Aquacrop model. One linear meter of plants was collected every 10 days for biometric and destructive analyses. In addition, the soil water content simulated from model was compared with measurements performed by time domain reflectometry. The AquaCrop model was calibrated for common bean during the dry season (October to March) for the region in the 2015/2016 harvest season using experimental data for 100% of ETc. The accuracy of the calibration and validation model was evaluated based on the root mean square error (RMSE), Willmott's index of agreement (d), correlation coefficient (r) and percentage deviation (D). The model showed good performance between observed and simulated values for soil water content, dry biomass accumulation and grain yield in several water conditions and can assist decision making and water management in irrigated crops.

Performance of the Aquacrop model for bean (Phaseolus vulgaris L.) under irrigation condition