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Analysis of interactions amongst shade trees, coffee foliar diseases and coffee yield in multistrata agroforestry systems
- 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.
- Subjects :
- 0106 biological sciences
Agroecosystem
Mode de culture
[SDV]Life Sciences [q-bio]
F08 - Systèmes et modes de culture
Arbre d'ombrage
Trade-off
Agroforesterie
01 natural sciences
Interactions biologiques
Maladie des plantes
Laboratory of Geo-information Science and Remote Sensing
Yield (wine)
Dose effect
health care economics and organizations
2. Zero hunger
Agroforestry
Feuille
food and beverages
Coffea arabica
PE&RC
humanities
Physiologie végétale
Rendement des cultures
Structural equation modelling
Biology
Soil characteristics
Ecological processes
Disease severity
Disease management (agriculture)
Fertilité du sol
Qualité du sol
Disease regulation
Laboratorium voor Geo-informatiekunde en Remote Sensing
H20 - Maladies des plantes
Tree-shade impact
fungi
Central America
15. Life on land
Soil quality
Ombrage
010602 entomology
Plant diversity
Litter
Agronomy and Crop Science
010606 plant biology & botany
Subjects
Details
- Language :
- English
- ISSN :
- 02612194 and 18736904
- Volume :
- 133
- Database :
- OpenAIRE
- Journal :
- Crop Protection
- Accession number :
- edsair.doi.dedup.....ad5b516bdb8e6d8c403a6545c86375b4