A comprehensive decision approach for rubber tree planting management in Africa

Fabrice Valognes, Hélène Ferrer, Moussa Diaby and André Clément-Demange
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Moussa Diaby: CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique
André Clément-Demange: UMR BEPC - Biologie du développement des espèces pérennes cultivées - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - UM2 - Université Montpellier 2 - Sciences et Techniques

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Abstract: The main objective of this study is to settle a rigorous field of decision analysis for rubber tree clones selection. Nowadays, there does not exist any process based upon a rigorous method to select the best clone to be plant in order to get the highest return on investment. The only known selection method is to use the experience of different protagonists acting in the plantation. So, we need a tool that takes into account very important criteria in order to achieve the main objective. This goal is achieved by using multicriterion analysis methods to the clone selection. The ranking procedure uses Elimination and Choice Expressing the Reality (ELECTRE III). For each criterion, indifference and preference thresholds are determined after establishing the relative importance of each criterion including rubber tapping, cumulative production during 15 years, cumulative production between 15 and 25 years, wind resistance, disease resistance, physiological resistance, grafting and quality of the rubber.

Keywords: agricultural resource management; ELECTRE III; rubber tree; multicriteria decision making (search for similar items in EconPapers)
Date: 2011-07-01
New Economics Papers: this item is included in nep-afr and nep-agr
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Citations: View citations in EconPapers (4)

Published in Journal of Multi-Criteria Decision Analysis, 2011, 18 (3-4), pp.187-201

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