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 / Pulina, Antonio; Ferrise, Roberto; Mula, Laura; Brilli, Lorenzo; Giglio, Luisa; Iocola, Ileana; Ventrella, Domenico; Zavattaro, Laura; Grignani, Carlo; Roggero, Pier Paolo. - In: ITALIAN JOURNAL OF AGRONOMY. - ISSN 2039-6805. - 17:4(2022). [10.4081/ija.2022.2179]

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

Pulina, Antonio;Mula, Laura;Roggero, Pier Paolo
2022-01-01

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 / Pulina, Antonio; Ferrise, Roberto; Mula, Laura; Brilli, Lorenzo; Giglio, Luisa; Iocola, Ileana; Ventrella, Domenico; Zavattaro, Laura; Grignani, Carlo; Roggero, Pier Paolo. - In: ITALIAN JOURNAL OF AGRONOMY. - ISSN 2039-6805. - 17:4(2022). [10.4081/ija.2022.2179]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/301486
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