Developing scenarios to assess sunflower and soybean yield under different sowing dates and water regimes in the Bekaa valley (Lebanon): Simulations with Aquacrop

Abstract

In a semi-arid environment, the main challenge for crop production is water limitation in space and in time. Considered as appropriate tools, models are used to evaluate the effects of water deficit on crop productivity for better irrigation planning and sustainable yield. The AquaCrop model was tested using data collected during a 4-year experiment on soybean (Glycine max L. Merril) and sunflower (Helianthus annuus L.) in the Bekaa Valley of Lebanon. The model was found to accurately simulate final crop biomass, yield and cumulative evapotranspiration: in fact the Wilmot index of agreement (IoA) values were 0.97, 0.96 and 0.96, respectively, for soybean and 0.93, 0.95 and 0.93, respectively, for sunflower, while the relative RMSE was 0.04, 0.05 and 0.02, respectively, for soybean and 0.04, 0.06 and 0.04, respectively, for sunflower. The analysis of irrigation scenarios showed that the early planting of sunflower could demonstrate a greater efficiency than late sowing. In addition, applying three irrigations, of 100 mm each, prior to flowering, at mid flowering stage and at the beginning of seed formation could lead to highest yields (ranging between 4.51 and 2.34 t ha -1 ) and crop water productivity (CWP) (ranging between 1.5 and 0.78 kg m -3 ). Sunflower yields were low (0.42 t ha -1 to 0.37 t ha -1 ) and unreliable when one single irrigation was performed only at the beginning of seed formation, while highest values (ranging between 1.97 and 1.74 t ha -1 ) were obtained when it was done prior to flowering. The highest yields and crop water productivity for soybean were obtained when the crop was sown in April and by applying three irrigations,