Combining modeling and experimental approaches for developing rice-oil palm agroforestry systems

Perez Raphaël, Vezy Rémi, Bordon Romain, Laisne Thomas, Roques Sandrine, Rebolledo Cid Maria Camila, Rouan Lauriane, Fabre Denis, Gibert Olivier, De Raissac Marcel. 2024. Combining modeling and experimental approaches for developing rice-oil palm agroforestry systems. Journal of Experimental Botany, 75 (13):erae137 : 4074-4092.

Url - jeu de données - Dataverse Cirad : https://doi.org/10.18167/DVN1/PQAJTV / Url - autres données associées : https://github.com/rpaperez/Agroforice.git

Résumé : Monoculture systems in South East Asia are facing challenges due to climate change-induced extreme weather conditions, leading to significant annual production losses in rice and oil palm. To ensure the stability of these crops, innovative strategies like resilient agroforestry systems need to be explored. Converting oil palm (Elaeis guineensis) monocultures to rice (Oryza sativa)-based intercropping systems shows promise, but achieving optimal yields requires adjusting palm density and identifying rice varieties adapted to changes in light quantity and diurnal fluctuation. This paper proposes a methodology that combines a model of light interception with indoor experiments to assess the feasibility of rice–oil palm agroforestry systems. Using a functional–structural plant model of oil palm, the planting design was optimized to maximize transmitted light for rice. Simulation results estimated the potential impact on oil palm carbon assimilation and transpiration. In growth chambers, simulated light conditions were replicated with adjustments to intensity and daily fluctuation. Three light treatments independently evaluated the effects of light intensity and fluctuation on different rice accessions. The simulation study revealed intercropping designs that significantly increased light transmission for rice cultivation with minimal decrease in oil palm densities compared with conventional designs. The results estimated a loss in oil palm productivity of less than 10%, attributed to improved carbon assimilation and water use efficiency. Changes in rice plant architecture were primarily influenced by light quantity, while variations in yield components were attributed to light fluctuations. Different rice accessions exhibited diverse responses to light fluctuations, indicating the potential for selecting genotypes suitable for agroforestry systems.

Mots-clés Agrovoc : Oryza sativa, Elaeis guineensis, agroforesterie, rendement des cultures, photosynthèse, systèmes agroforestiers, variété, culture intercalaire, système de culture, physiologie végétale, Oryza, modèle de simulation, anatomie végétale, morphologie végétale

Mots-clés libres : Agroforestrty, Light fluctuation, Light intensity, Rice, Shading, Yield

Classification Agris : F08 - Systèmes et modes de culture
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Agences de financement hors UE : Centre de Coopération Internationale en Recherche Agronomique pour le Développement

Projets sur financement : (FRA) Agroforice, (FRA) voxOmic

Auteurs et affiliations

• Perez Raphaël, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0001-5270-9212 - auteur correspondant
• Vezy Rémi, CIRAD-BIOS-UMR AMAP (FRA) ORCID: 0000-0002-0808-1461
• Bordon Romain, Université de Montpellier (FRA)
• Laisne Thomas, CIRAD-BIOS-UMR AGAP (FRA)
• Roques Sandrine, CIRAD-BIOS-UMR AGAP (FRA)
• Rebolledo Cid Maria Camila, CIRAD-BIOS-UMR AGAP (FRA)
• Rouan Lauriane, CIRAD-BIOS-UMR AGAP (FRA)
• Fabre Denis, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-6222-2587
• Gibert Olivier, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-1447-9003
• De Raissac Marcel, CIRAD-BIOS-UMR AGAP (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/609748/)

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