Demonstrating the Use of the Yield-Gap Concept on Crop Model Calibration in Data-Poor Regions: An Application to CERES-Wheat Crop Model in Greece

Yield estimations at global or regional spatial scales have been compromised due to poor crop model calibration. A methodology for estimating the genetic parameters related grain growth and yield CERES-Wheat is proposed based on gap concept, GLUE coefficient estimator, atlas (GYGA). trials with three durum wheat cultivars in an experimental farm northern Greece from 2004 2010 were used. The calibration strategy conducted (embedded DSSAT v.4.7.5) potential mode taking into account year-to-year variability of relative Yrg (YgC_adj) was: (i) more effective than using average site value (YgC_unadj) only (the RMSE ranged 10 13% YgC_adj vs. 48 57% YgC_unadj) (ii) superior (slightly inferior) v.4.7.5 (DSSAT v.3.5—relative 5 8% found) rainfed mode. Earlier anthesis, maturity, decreased (from 2.2 3.9% 2021–2050, 5.0 7.1% 2071–2100), increased temperature solar radiation, found ensemble 11 EURO-CORDEX climate simulations. In conclusion, provides a scientifically robust guideline that minimizes input requirements operating Further testing this required different plants, models, environments.