Mujkic, MirelaIsla Climente, RamónSalmerón Cortasa, MontserratCavero Campo, JoséMirás Avalos, José ManuelDechmi, Farida2026-02-262026-02-262026-02-03Mujkic, M., Isla, R., Salmerón, M., Cavero, J., Mirás, J. M., & Dechmi, F. (2026). DSSAT modelling of cover crop residues and tillage effects on N dynamics and maize productivity in Mediterranean climate. En: 3rd International Crop Modelling Symposium. (2026). Abstract book: Crop modelling for agriculture and food security under global change (Oral Session 3 – Sustainability, Ecosystem Services, and Biodiversity). Palazzo degli Affari, Florence, Italy. February 2–4, 2026., p. 8-10.https://hdl.handle.net/10532/8149The Decision Support System for Agrotechnology Transfer (DSSAT) is a group of simulation models with the capabilityto simulate the effect of tillage and surface crop residues on soil water content and organic matter turnover. Althoughsimulating the effects of crop residue management on decomposition and nitrogen release is complex, process-basedmodels can support the development of cropping systems with improved synchronization between nitrogen releaseand plant demand (Hasegawa et al., 2000). This study focuses on evaluating the response of the CERES-Maize model interms of yield, biomass, grain nitrogen, and total nitrogen uptake in irrigated maize, following different cover crop (CC)residue treatments under conventional tillage (CT) and direct seeding (DS) using the Century module. The mainobjective is to accurately simulate soil nitrogen (N) mineralization dynamics and identify the phase during which mostnitrogen from the cover crop residues is mineralized and becomes available to maize. Preliminary results after modelcalibration are presented.enAttribution-NonCommercial-NoDerivatives 4.0 Internationalcomunicación de congreso2026-02-26MaízMineralización del nitrógenoCover cropsLabranzaModelización de los cultivosSiembra directaLabranza convencionalCalibraciónHambre cero