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This study presents the calibration of crop rotation models using short-term data, focusing on optimizing parameters for improved agricultural predictions. Key parameters include dB, dM, and FC, with values such as 1.53, 2.77, and -29.3, respectively. The calibration incorporates the CLTS coefficient from Körschens, set at 0.055, along with C/NSOM and soil characteristics like Corg and Nmin. This calibration approach aims to enhance the accuracy of yield predictions and contribute to effective agricultural management practices.
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Result model CANDY: Model calibration on short term data Calibration to crop rotation Adapted Calib. Calib. Parameters (1) (2) dB 1.53 1.36 dM 2.77 2.73 FC - 29.3 PWP - 17.4 FP 24.5 27.0 CLTS-coefficient (Körschens)0.055 0.055 C/NSOM 10.7 8.5 Sum of Calib. Calib. squares (1) (2) Corg0.042 0.042 Nmin 11799 7028