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Spatial decision support for coffee disease management – site-specific shade – environment interaction affecting American leaf spot disease

Liebig Theresa, Läderach Peter, Quiroga Alberto, Anzueto Francisco, Matute N., Avelino Jacques. 2015. Spatial decision support for coffee disease management – site-specific shade – environment interaction affecting American leaf spot disease. In : Proceedings of the 25th International Conference on Coffee Science. ASIC. Paris : ASIC, pp. 42-46. ISBN 978-2-900212-24-0 International Conference on Coffee Science, Armenia, Colombie, 8 September 2014/13 September 2014.

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Abstract : Mycena citricolor, causal agent of the American Leaf Spot Disease (ALSD) is reported to be favored by cool and humid conditions and by excessive shade. However, there is little knowledge of shade effects in different environments. This study aims to prove that the effect of shade on ALSD severity depends on environmental and site-specific conditions and to predict these relations spatially. In two mayor coffee growing regions of Guatemala and Honduras, disease risk including shading was mapped at two different scales using CaNaSTA, a Bayesian statistics decision support tool that combines field survey data, expert knowledge and spatial climate data. Results indicate an interaction between shading and environmental factors, influencing disease intensity according to site specific conditions. (Résumé d'auteur)

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

Auteurs et affiliations

  • Liebig Theresa, CIAT (COL)
  • Läderach Peter, CIAT (COL)
  • Quiroga Alberto, CIAT (COL)
  • Anzueto Francisco, ANACAFE (GTM)
  • Matute N., IHCAFE (HND)
  • Avelino Jacques, CIRAD-BIOS-UPR Bioagresseurs (CRI) ORCID: 0000-0003-1983-9431

Autres liens de la publication

Source : Cirad-Agritrop (https://agritrop.cirad.fr/577361/)

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