Crop rotation modelling - a European model intercomparison - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Article Dans Une Revue European Journal of Agronomy Année : 2015

Crop rotation modelling - a European model intercomparison

Nicolas N. Beaudoin
  • Fonction : Auteur
  • PersonId : 1206197
  • IdRef : 120443007
Inaki Garcia de Cortazar Atauri
Marie Launey
  • Fonction : Auteur
Bruno B. Mary
  • Fonction : Auteur
  • PersonId : 1202685
Lianhai Wu
  • Fonction : Auteur

Résumé

Diversification of crop rotations is considered an option to increase the resilience of European crop pro-duction under climate change. So far, however, many crop simulation studies have focused on predictingsingle crops in separate one-year simulations. Here, we compared the capability of fifteen crop growthsimulation models to predict yields in crop rotations at five sites across Europe under minimal calibration.Crop rotations encompassed 301 seasons of ten crop types common to European agriculture and a diverseset of treatments (irrigation, fertilisation, CO2concentration, soil types, tillage, residues, intermediate orcatch crops).We found that the continuous simulation of multi-year crop rotations yielded results of slightly higherquality compared to the simulation of single years and single crops. Intermediate crops (oilseed radishand grass vegetation) were simulated less accurately than main crops (cereals). The majority of modelsperformed better for the treatments of increased CO2and nitrogen fertilisation than for irrigation andsoil-related treatments. The yield simulation of the multi-model ensemble reduced the error comparedto single-model simulations. The low degree of superiority of continuous simulations over single year simulation was caused by (a)insufficiently parameterised crops, which affect the performance of the following crop, and (b) the lackof growth-limiting water and/or nitrogen in the crop rotations under investigation. In order to achieve asound representation of crop rotations, further research is required to synthesise existing knowledge ofthe physiology of intermediate crops and of carry-over effects from the preceding to the following crop,and to implement/improve the modelling of processes that condition these effects.

Dates et versions

hal-02638180 , version 1 (28-05-2020)

Identifiants

Citer

Chris Kollas, Kurt Christian Kersebaum, Claas Nendel, Kiril Manevski, Christoph Müller, et al.. Crop rotation modelling - a European model intercomparison. European Journal of Agronomy, 2015, 70, pp.98-111. ⟨10.1016/j.eja.2015.06.007⟩. ⟨hal-02638180⟩
142 Consultations
0 Téléchargements

Altmetric

Partager

More