Notaro Martin, Gary Christian, Deheuvels Olivier.
2019. Mapping plant diversity in cocoa-based agroforestry systems to improve overall productivity.
In : 4th World Congress on Agroforestry. Book of abstracts. Dupraz Christian (ed.), Gosme Marie (ed.), Lawson Gerry (ed.). CIRAD, INRA, World Agroforestry, Agropolis International, MUSE
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Résumé : In cocoa-based agroforestry systems (CAFS), the cocoa trees are associated with other cultivated plant species at variable densities. There, the spatial distribution of the cultivated plants can be regular, random or aggregated, and their age may vary even in the same species. Variables of (i) density, (ii) spatial distribution and (iii) age can thus influence the overall productivity of CAFS and its distribution in space. We studied the relationships between these 3 variables and CAFS productivity based on data collected in 34 experimental yield tracking plots placed in agroforestry fields of producers in the Dominican Republic. A mapping of the cultivated plants was carried out on each plot at their installation and harvests of the ripe products of each individual plant were carried out every two weeks over a period of one year. The first results of this study indicate that optimal CAFS productivity can be maintained along a decreasing density gradient of crops, associated with cocoa tree ageing. In addition, regular and random spatial distribution of all plant species may increase overall productivity. The analysis of the variability of cocoa, fruit, tuber and timber yields allows us to provide recommendations on the most suitable species and the optimal distance between plants to improve overall productivity and therefore the producer's income.
Mots-clés Agrovoc : agroforesterie, espacement, rendement des cultures
Mots-clés géographiques Agrovoc : République dominicaine
Mots-clés libres : Agroforestry, Sustainability
Classification Agris : F08 - Systèmes et modes de culture
F07 - Façons culturales
Auteurs et affiliations
- Notaro Martin, CIRAD-PERSYST-UMR SYSTEM (DOM) ORCID: 0000-0002-8504-682X
- Gary Christian, INRA (FRA)
- Deheuvels Olivier, CIRAD-PERSYST-UMR SYSTEM (PER) ORCID: 0000-0003-2819-8445
Autres liens de la publication
Source : Cirad-Agritrop (https://agritrop.cirad.fr/592928/)
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