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Unraveling the complexity of coffee leaf rust behavior and development in different Coffea arabica agro-ecosystems

Merle Isabelle, Pico Jimmy, Granados Eduardo, Boudrot Audrey, Tixier Philippe, de Melo Virginio Filho Elias, Cilas Christian, Avelino Jacques. 2020. Unraveling the complexity of coffee leaf rust behavior and development in different Coffea arabica agro-ecosystems. Phytopathology, 110 (2) : pp. 418-427.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie

Abstract : Crop health management systems can be designed according to practices that help to reduce crop losses by restricting pathogen development and promoting host plant growth. A good understanding of pathogen and host dynamics, which are interdependent, is therefore needed. In this article, we used a holistic approach to explain the behavior of coffee leaf rust (CLR), a major coffee disease. We monitored coffee plant and CLR dynamics simultaneously in plots under different disease management and agroforestry systems. Diseased leaves were also collected to characterize inoculum stock and rust life stages (latent rust area, area with uredospores, necrosis due to rust) through picture analysis. We used structural equation modeling to obtain an overview of CLR pathosystem functioning on a plant scale. This overview integrates processes such as disease dilution by host leaf renewal, direct and indirect effects of fruit load on CLR development, antagonistic effects of shading depending on rust life stages, the tonic effect of copper-based fungicides on leaf retention, and effects on rust life stages depending on fungicide types. From our results, we also deduced that the inoculum stock could be calculated in unsprayed plots from the rust area with uredospores, with uredospores at 58 × 103 cm−2, on average.

Mots-clés Agrovoc : Hemileia vastatrix, Coffea arabica, Agroforesterie, Phénologie, Écologie, Maladie fongique, Modèle de simulation

Mots-clés géographiques Agrovoc : Costa Rica

Classification Agris : H20 - Plant diseases
F08 - Cropping patterns and systems
U10 - Computer science, mathematics and statistics

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Agence(s) de financement européenne(s) : European Commission

Auteurs et affiliations

  • Merle Isabelle, CIRAD-BIOS-UPR Bioagresseurs (CRI) - auteur correspondant
  • Pico Jimmy, INIAP (ECU)
  • Granados Eduardo, UCR (CRI)
  • Boudrot Audrey, Agrocampus Ouest (FRA)
  • Tixier Philippe, CIRAD-PERSYST-UPR GECO (FRA) ORCID: 0000-0001-5147-9777
  • de Melo Virginio Filho Elias, CATIE (CRI)
  • Cilas Christian, CIRAD-BIOS-UPR Bioagresseurs (FRA)
  • Avelino Jacques, CIRAD-BIOS-UPR Bioagresseurs (CRI) ORCID: 0000-0003-1983-9431

Source : Cirad-Agritrop (https://agritrop.cirad.fr/594729/)

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