C.C. Dauphin

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Dominique Massé

Ecologie fonctionnelle & biogéochimie des sols & des agro-systèmes

Ndjido Ardo Kane

Institut Sénégalais de Recherches Agricoles

François Affholder

Agro-écologie et intensification durable des cultures annuelles

ÉS

Éric Scopel

Agropolis International

Laure Tall Diouf

Niokhor Bakhoum

LMI Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux

Marc Corbeels

Centre de Coopération Internationale en Recherche Agronomique pour le Développement

A. Baldé

Institut Sénégalais de Recherches Agricoles

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Université de Montpellier

Centre de Coopération Internationale en Recherche Agronomique pour le Développement

Institut Sénégalais de Recherches Agricoles

Agro-écologie et intensification durable des cultures annuelles

Agroécologie

Agropolis International

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

LMI Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux

University of Nottingham

Ecologie fonctionnelle & biogéochimie des sols & des agro-systèmes

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Modeling intercropping with cereals in smallholder agrosystems. From lessons learned in central Brazil to their application in the Peanut Basin in Senegal

A. Baldé Laure Tall Diouf Niokhor Bakhoum François Affholder C.C. Dauphin

In most areas of sub-humid tropics where the rainy period is too short to allow a system with a succession of crops, intercropping is an option to diversify culture and enhance agrosystems resiliency. However, interactions among associated crops (facilitation and/or competition) are complex, variable in time and will depend on the characteristics of each crop and the management of the whole system. Understanding and quantifying these complex interactions and their impacts on the agrosystem productivity require to consider temporal dimension. In fact, oneoff measures or entirely experimental approach cannot adequately answer these questions. However, crop modeling can complete experimental approaches by taking better account of changing interactions over time, allowing dynamic quantification of the flow of resources and their distribution. We will present an example of intercropping model with maize using STICS-CA model, adjusted calibrated and then evaluated for the Brazilian Cerrado system. We will then discuss on how to use a similar approach for millet-cowpea intercropping systems in the Senegalese peanut Basin.

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