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Variability of mango tree production (Kent) in northern Côte d'Ivoire

Koffi Jean-Mathias, Sarron Julien, Soro Dogniméton, Normand Frédéric, Kouakou C.K., Fondio Lassina, Djidji H., Faye Emile. 2023. Variability of mango tree production (Kent) in northern Côte d'Ivoire. In : Proceedings of the International Symposium on Innovative Perennial Crops Management. Serra S. (ed.), Lauri P.E. (ed.). ISHS. Louvain : ISHS, 83-92. (Acta Horticulturae, 1366) ISBN 978-94-6261-365-2 International Horticultural Congress (IHC2022): International Symposium on Innovative Perennial Crops Management. 31, Angers, France, 14 Août 2022/20 Août 2022.

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Résumé : Understanding the factors that determine the variability of intra- and inter-orchard production is crucial to help steer agronomic research and improve yield. Few studies have focused on identifying these factors in mango orchards in Côte d'Ivoire, one of the major mango producing countries of West Africa. This work quantifies mango production and analyses the effects of both tree dimensions and year on production levels. In 23 orchards, 230 mango trees ('Kent') were selected to be representative of tree dimensions and productivity in the Poro region of northern Côte d'Ivoire. Tree dimensions measured were tree height, trunk height, trunk circumference and crown dimensions. Individual tree production was estimated in 2019 and 2020 by image analysis. Before harvest, each tree was photographed on two opposite sides with a RGB camera. Images were analyzed with a machine learning algorithm combined with a linear model. Similar to other countries in West Africa, a high variability in production was observed between trees in 2019 and 2020. Trees were more productive in 2019 than in 2020. Mango production dropped in 2020 for about 75% of the trees, in particular large trees. In 2019, tree production was positively correlated with tree dimensions, whereas these correlations were weak and negative in 2020. Mango tree production in northern Côte d'Ivoire showed a high variability between trees and between years that could not be explained by tree structure alone. This high variability could be reduced by the adoption of cultural practices such as tree pruning, irrigation if rainfall is not sufficient, or fertilization if possible.

Mots-clés libres : Image analysis, Irregular bearing, Machine vision, Mangifera indica L., Tree dimensions, West Africa

Agences de financement hors UE : Agence Française de Développement

Projets sur financement : (FRA) Contrat de désendettement et de développement

Auteurs et affiliations

  • Koffi Jean-Mathias, CNRA (CIV)
  • Sarron Julien, CIRAD-PERSYST-UPR HortSys (MDG) ORCID: 0000-0002-9584-4227
  • Soro Dogniméton, UJLG (CIV)
  • Normand Frédéric, CIRAD-PERSYST-UPR HortSys (REU)
  • Kouakou C.K., CNRA (CIV)
  • Fondio Lassina, CNRA (CIV)
  • Djidji H., CNRA (CIV)
  • Faye Emile, CIRAD-PERSYST-UPR HortSys (FRA) ORCID: 0000-0001-7764-3256

Autres liens de la publication

Source : Cirad-Agritrop (https://agritrop.cirad.fr/604707/)

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