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Data relative to two soybean seasons, several irrigation scheduling treatments, includingmoderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assessthe performance of models AquaCrop and SIMDualKc, the latter combined with the Stewart’s yieldmodel. SIMDualKc applies the FAO56 dual crop coefficient approach for computing and partitioningevapotranspiration (ET) into actual crop transpiration (Tc act) and soil evaporation (Es), whileAquaCrop uses an approach that depends on the canopy cover curve. The calibration-validations ofmodels were performed by comparing observed and predicted soil water content (SWC) and grainyield. SIMDualKc showed good accuracy for SWC estimations, with normalized root mean squareerror (NRMSE)   7.6%. AquaCrop was less accurate, with NRMSE   9.2%. Differences betweenmodels regarding the water balance terms were notable, and the ET partition revealed a trend forunder-estimation of Tc act by AquaCrop, mainly under severe water stress. Yield predictions withSIMDualKc-Stewart models produced NRMSE < 15% while predictions with AquaCrop resulted inNRMSE   23% due to under-estimation of Tc act, particularly for water stressed treatments. Resultsshow the appropriateness of SIMDualKc to support irrigation scheduling and assessing impacts onyield when combined with Stewart’s modelinfo:eu-repo/semantics/publishedVersio

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models