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Analysis of interactions amongst shade trees, coffee foliar diseases and coffee yield in multistrata agroforestry systems

Authors :
Clémentine Durand-Bessart
Alcide Quinteros
Philippe Tixier
Camille Tauvel
Clémentine Allinne
Federico Andreotti
Bruno Rapidel
Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens (UMR SYSTEM)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM)
Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
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)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Fonctionnement écologique et gestion durable des agrosystèmes bananiers et ananas (UR GECO)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST)
Centro Agronómico Tropical de Investigación y Enseñanza - Tropical Agricultural Research and Higher Education Center (CATIE)
Wageningen University and Research [Wageningen] (WUR)
Geo-Information Science and Remote Sensing Laboratory
Performance des systèmes de culture des plantes pérennes (UPR Système de pérennes)
This research was financially supported by the STRADIV project (grant n° 1504-003) funded by Agropolis Fondation.
Source :
Crop Protection 133 (2020), Crop Protection, Crop Protection, Elsevier, 2020, 133, pp.105137. ⟨10.1016/j.cropro.2020.105137⟩, Crop Protection, 133
Publication Year :
2020

Abstract

International audience; In complex coffee-based agroforestry systems, quantifying the impact of shade trees on coffee disease regulation and coffee yield is crucial for improving these systems and designing more sustainable ones. To this end, we analyzed interactions amongst shade trees, coffee plants (cv. Catimor), the coffee foliar disease complex and soil characteristics. We studied systems characterized by 40 variables measured in 60 plots located on three farms (monitored for 2 years) in Nicaragua. These variables characterized six system components grouped in six statistical blocks: shade trees (shade percentage and species abundancy), soil characteristics (fertility), foliar diseases, coffee plant characteristics (age and size), coffee growth and yield. We used partial least square path modelling (PLS-PM), i.e. a structural equation modelling approach used to understand and quantify interactions between the six blocks. Shade trees (mostly the associated shade percentage) had direct positive effects on foliar disease severity and incidence and soil quality, while having negative effects on coffee growth and yield. Soil characteristics (carbon, nitrogen, litter index, water infiltration potential) were negatively correlated with foliar diseases. An excessive shade percentage then had an indirect negative effect on coffee growth and yield due to the increased prevalence of foliar diseases. Finding the optimal shade cover can help reduce foliar diseases and enhance coffee berry production. The 'dose effect' of shade cover must also be considered because excessive shade, as well as lack of shade, have negative impacts on coffee growth and yield. Overall, effective shade management requires an analysis of trade-offs between soil quality, disease regulation and yield gains. In conclusion, PLS-PM turned out to be a good tool for studying agroecosystem networks and enabled us to put forward some foliar disease management and coffee yield enhancement guidelines.

Details

Language :
English
ISSN :
02612194 and 18736904
Volume :
133
Database :
OpenAIRE
Journal :
Crop Protection
Accession number :
edsair.doi.dedup.....ad5b516bdb8e6d8c403a6545c86375b4