Calibration and Validation of Two Crop Models for Estimating Sugarcane Yield in Northeast Thailand

抄録

Crop models allow the assessment of management strategies under climate change. We calibrated and validated two crop models for estimating sugarcane yields in Northeastern Thailand. We used data collected in 2011–12 in the absence of water stress to calibrate DSSAT-CANEGRO and DNDC95, and validated them using data collected in 2010–11 and 2011–12 under rainfed conditions. In the calibration, we optimized parameters of both models and got realistic predictions. In the validation, optimizing water demand in DNDC95 gave good results, but DSSAT-CANEGRO overestimated yields. When we optimized water balance specific to sugarcane, DSSAT-CANEGRO also simulated yields well.