[1]
Pulina, A., Ferrise, R. , Mula, L., Brilli, L., Giglio, L., Iocola, I., Ventrella, D., Zavattaro, L., Grignani, C. and Roggero, P.P. 2022. 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. 17, 4 (Dec. 2022). DOI:https://doi.org/10.4081/ija.2022.2179.