Use of CAF2007, a process-based model of coffee agroforestry systems, to represent and understand the evolution of coffee productivity in two long term trials in Mesoamerica

Rémal S., Rapidel Bruno, Van Oijen Marcel, Haggar Jeremy, Roupsard Olivier, Ngo Bieng Marie-Ange, Mérot Anne, Metay Aurélie, Harmand Jean-Michel, Virginio Filho Elias de Melo, Vaast Philippe, Hergoualc'h Kristell. 2009. Use of CAF2007, a process-based model of coffee agroforestry systems, to represent and understand the evolution of coffee productivity in two long term trials in Mesoamerica. In : Book of abstracts of the 2nd World Congress of Agroforestry, 23-28 August 2009, Nairobi, Kenya : Agroforestry, the future of global land use. ICRAF. Nairobi : WCA [Nairobi], Résumé, 271-272. ISBN 978-92-9059-255-6 World Congress of Agroforestry. 2, Nairobi, Kenya, 23 Août 2009/28 Août 2009.

Résumé : Coffee is frequently cultivated under shade in Mesoamerica. The effects of shade trees on coffee productivity depend on the environmental conditions: mainly temperature, humidity, solar radiation and rainfall patterns. Crop models may be useful to assess current systems and modify their shade management, to improve productivity and provision of environmental services. The CAF2007 model was recently developed to simulate coffee growth and yield elaboration under shade at plot scale, under Mesoamerican environmental and technical conditions. The model was first compared with the scientific and local knowledge on coffee productivity under shade. Our results show that coffee phenology is correctly accounted for in the model, although the module that simulates the effects of light and water stress on flowering needs adjustment. The water module, carbon accumulation module and N balance module were then tested in coffee plantations, using 2 experimental data sets. When adequately parameterized, the modules did simulate correctly the variables measured, with a few exceptions. Proposals were formulated to develop or modify modules, to improve the simulations. The model was then parameterized to reproduce 2 data sets from two 7-year-old experiments of CATIE, with coffee cultivated under diverse shade trees and N management: one in Turrialba, Costa Rica, under humid conditions, with no definite dry season, and one in Masatepe, Nicaragua, with a very pronounced dry season. The model was able to reproduce the evolution of coffee bean production and the accumulation of biomass in the experiments. Functional explanations for observed evolutions, related to excessive shade and to insufficient N inputs, were proposed from the model. The implications of these results for future model improvement and applicability are discussed. (Texte intégral)

Mots-clés Agrovoc : agroforesterie, Coffea

Mots-clés géographiques Agrovoc : Amérique centrale, Nicaragua, Costa Rica

Classification Agris : U10 - Informatique, mathématiques et statistiques
F08 - Systèmes et modes de culture
F01 - Culture des plantes
F62 - Physiologie végétale - Croissance et développement

Auteurs et affiliations

• Rémal S.
• Rapidel Bruno, CIRAD-PERSYST-UMR SYSTEM (CRI) ORCID: 0000-0003-0288-5650
• Van Oijen Marcel
• Haggar Jeremy
• Roupsard Olivier, CIRAD-PERSYST-UPR Ecosystèmes de plantations (CRI)
• Ngo Bieng Marie-Ange, CIRAD-PERSYST-UMR SYSTEM (FRA)
• Mérot Anne
• Metay Aurélie
• Harmand Jean-Michel, CIRAD-PERSYST-UPR Ecosystèmes de plantations (FRA) ORCID: 0000-0002-8065-106X
• Virginio Filho Elias de Melo
• Vaast Philippe, CIRAD-PERSYST-UPR Ecosystèmes de plantations (IND)
• Hergoualc'h Kristell, CATIE (CRI)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/553627/)

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