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) : 418-427.

https://doi.org/10.1094/PHYTO-03-19-0094-R

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Quartile : Q1, Sujet : PLANT SCIENCES

Liste HCERES des revues (en SHS) : oui

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

Résumé : 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 - Maladies des plantes
F08 - Systèmes et modes de culture
U10 - Informatique, mathématiques et statistiques

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

Agences de financement européennes : European Commission

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