Sustainable management of coffee berry disease and leaf rust co-infection: a systematic review of deterministic models

Journal article


Authors/Editors


Strategic Research Themes


Publication Details

Author listUsa Wannasingha Humphries , Porntip Dechpichai , Alhassan Ibrahim , Muhammad Waqas , Boobphachard Chansawang , Gabor Kiss , Angkool Wangwongchai

PublisherElsevier

Publication year2025

Start page1

End page33

Number of pages33

ISSN22150161

eISSN2215-0161

URLhttps://www.sciencedirect.com/science/article/pii/S2215016125003565?via%3Dihub

LanguagesEnglish-Great Britain (EN-GB)


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Abstract

Colletotrichum kahawae, the cause of Coffee Berry Disease (CBD), poses a significant threat to global coffee production, especially in Africa, with potential implications for Latin America and Asia.

This systematic review evaluates 24 models of CBD, Coffee Leaf Rust (CLR), Coffee Berry Borer (CBB),

and co-infection of CBD with CLR, as well as strategies for optimal control.

It concludes the relevance of the basic reproduction number (𝑅0) for forecasting outbreaks and the

benefits of employing a combination of control measures.

Despite advancements, limitations still exist, including the need for empirical validation and the

consideration of vector-mediated transmission in co-infection models. Future research should integrate GIS,

climate data, and field trials for validation, model vector-host-pathogen interactions, and assess costeffective strategies for smallholder farmers to ensure sustainable coffee production.


Keywords

Coffee berry diseaseCo-infection dynamicsMathematical modelingOptimal control strategiesPlant disease epidemiology


Last updated on 2025-31-07 at 00:00