| In order to enhance the adaptability, efficiency, and precision of the APSIM-Wheat model in the northwestern spring wheat region in China, it was essential to recalibrate the crop variety parameters and calibrate the ranges of parameter values. Five parameter value ranges of ±10%, ±20%, ±30%, ±40%, and ±50% were defined. This study utilized the EFAST and Morris methods to analyze the sensitivity of yield and biomass to variations in 18 crop variety parameters within different ranges of parameter values. The EFAST method was further employed to determine the most appropriate parameter value range, and finally, the consistency between the two sensitivity analysis methods was assessed. The results showed that the parameters most sensitive to yield were grains per gram of stem (GPGS), accumulated thermal time from emergence to flowering (TFI), accumulated thermal time during grain filling (TSGF), accumulated thermal time from emergence to jointing (TEOJ), thermal time from flowering to maturity (TF), and potential grain filling rate (PGFR), respectively. The parameters most sensitive to biomass were accumulated thermal time from emergence to jointing (TEOJ), accumulated thermal time during grain filling (TSGF), accumulated thermal time from emergence to flowering (TFI), and thermal time from flowering to maturity (TF), respectively. Sensitivity parameters at ±30% and insensitive parameters within ±5% can be regarded as suitable ranges for modeling crop parameters. Under different parameter value ranges, the EFAST method and the Morris method exhibit good consistency in sensitivity results, suggesting that they can be interchangeably used in parameter sensitivity analysis. |
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