การปรับค่าสัมประสิทธิ์เพื่อปรับปรุงความแม่นยำของแบบจำลอง CSM-CROPGRO-Peanut ในการเจริญเติบโตของรากถั่วลิสง

Abstract

Important input factors that affect root growth under field conditions have not been included in CSM-CROPGRO-Peanut model, resulting in poor simulation of some rooting traits. Hence, the objective of this study was to optimize root growth factors for obtaining the suitable value with particular genotypes and environments. Two root growth factors including 1) fraction partitioning to leaf (YLEAF) and 2) root growth factor in soil layers were adjusted. Root mean square error (RMSE) and index of agreement (d) that were the statistical agreement between observed data and simulated data were used for considering the best fit values of root growth factor. The statistical agreement between observed and simulated data of root dry weight and root length density (RLD) in soil profiles derived from modified values were better than default values, as lower RMSE and higher d . In addition, the adjustment of YLEAF also improved the statistical agreement of total dry matter. The information from this study can apply for improving input data to optimize the model performance with other genotypes and environments.