PULINA, A.; FERRISE, R. .; MULA, L.; BRILLI, L.; GIGLIO, L.; IOCOLA, I.; VENTRELLA, D.; ZAVATTARO, L.; GRIGNANI, C.; ROGGERO, P. P. The ability of crop models to predict soil organic carbon changes in a maize cropping system under contrasting fertilization and residues management: Evidence from a long-term experiment. Italian Journal of Agronomy, [S. l.], v. 17, n. 4, 2022. DOI: 10.4081/ija.2022.2179. Disponível em: https://www.agronomy.it/agro/article/view/2179. Acesso em: 17 may. 2024.