Evaluación del rendimiento y la productividad del agua en soya (Glycine max) con AquaCrop

Introduction. Simulation models are a tool to study crop behavior under different climatic and water conditions and agronomic management practices. Objective. To evaluate the AquaCrop model for estimating yield and water productivity in soybean var. CIGRAS-06. Materials and methods. The study was carried out at the Estación Experimental Agrícola Fabio Baudrit Moreno of the University of Costa Rica, in Alajuela, Costa Rica, from June 6 to October 23, 2018. The AquaCrop v. 7.1 model was used to simulate soybean crop development and yield. Simulated data on canopy cover, biomass production, and yield were compared with experimental data from a plot planted with soybean variety CIGRAS-06. Soil parameters measured in the field and generated with pedotransfer equations were used. Results. Predictions of yield, total biomass, and canopy cover were good (similarity values: d ≥ 0.97), but predictions of leaf coverage during the early crop cycle were susceptible to improvement. Differences between the two types of soil parameters used did not significantly affect the final simulation. Conclusions. AquaCrop successfully simulated soybean yield, biomass, and leaf coverage. Water productivity simulation was higher than values reported in the literature.