Adaptation and Implementation of the Long-Term Humic Balance Calculation Model AMG in a Wide Range of Arable Crop and Crop-Livestock Systems

This paper presents the adaptation and implementation of the AMG model to predict long-term changes in soil organic carbon stocks across diverse arable and crop-livestock systems in France.

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Descrizione dettagliata

This study expanded the application domain of the INRA-developed AMG model by assembling a comprehensive database from long-term field trials under varied pedoclimatic and management contexts. A dedicated C++ calculation engine, "AMG-Recherche", was interfaced with this database to support model parameterization. The authors evaluated the model’s predictive accuracy through statistical error modeling, updated key parameters such as root coefficients and isohumic coefficients for organic residues, and produced a methodological synthesis document to guide AMG implementation in different agronomic scenarios.

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Informazioni sul contributo

Progetto

Innovations agronomiques

Innovations agronomiques

Posizione
France
Autori del contributo
Alain BOUTHIER, Annie DUPARQUE, Bruno MARY, Sabine SAGOT, Robert TROCHARD, Maxime LEVERT, Sabine HOUOT, Nathalie DAMAY, Pascal DENOROY, Jean-Louis DINH, Bernard BLIN et Flora GANTEI
Scopo
Adopt innovative practices

Tipo di file
documento
Pubblicato su
01 mar 2014
Lingua d'origine
French
Sito web ufficiale del progetto
Innovations agronomiques
Licenza
CC BY