Fish farming for diversifying cocoa production in Côte d'Ivoire: Typology of practices
2025
Kouadio, Antoine, K | Pepey, Elodie | Fertin, Lucas | Niamien, Henri-Joel, K | Brou, Seri | Boussou, Charles, K | Pouil, Simon | APDRA Pisciculture paysanne | Université Jean Lorougnon Guédé (UJloG) | Institut des Sciences de l'Evolution de Montpellier (UMR ISEM) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM) | Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM) | Association Pisciculture et Developpement Rural en Afrique- France (APDRA) ; APDRA | Centre de Recherches Océanologiques [Abidjan] (CRO) | Génétique Animale et Biologie Intégrative (GABI) ; AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
International audience
Mostrar más [+] Menos [-]Inglés. Fish farming in Côte d’Ivoire has been promoted as a diversification strategy for cocoa producers, yet the sector exhibits significant heterogeneity in farming practices, which remains poorly documented. This study aimed to classify fish farming systems and identify key determinants of their performance. Surveys were conducted with 45 farmers across three cocoa-producing regions - Bédiala, Méagui, and Sinfra - and data were analyzed using Factor Analysis of Mixed Data (FAMD) and clustering analysis, leading to the identification of three distinct farm types. Type 1 farms, found in Bédiala, have the largest production areas (median: 2.9 ha) and predominantly practice polyculture of Nile tilapia (Oreochromis niloticus), bony tongue (Heterotis niloticus), and catfish (Clarias spp.), often integrated with rice farming. Type 2 farms, found in Sinfra, employ the most intensive practices, characterized by the use of monosex tilapia fingerlings and reproductive control via banded jewelfish (Hemichromis fasciatus), resulting in the highest yields (median: 1,033 kg ha⁻¹ yr⁻¹). Type 3 farms, found in Méagui and Sinfra, are the least productive (median: 450 kg ha⁻¹ yr⁻¹), constrained by longer production cycles and limited technological adoption. These findings reveal significant regional disparities in fish farming practices and productivity, underscoring the need for tailored policy interventions. Strategies should focus on promoting improved production techniques in low-yielding systems while supporting sustainable intensification in more advanced farms to enhance the sector’s contribution to rural livelihoods and food security.
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