ArticleScientific reports2025
Modeling global habitat suitability of Agroathelia rolfsii causing Sclerotium wilt disease of tomato with emphasis on Ghana.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- First Report ofJournal of fungi (Basel, Switzerland) · 2025Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Agroathelia rolfsii formally known as Sclerotium rolfsii is a globally significant soilborne fungal pathogen that causes Sclerotium wilt disease in tomato and several other economically important crops. Effective disease surveillance and management require an understanding of the potential geographic distribution of A. rolfsii, particularly under varying environmental conditions. This study employed the MaxEnt modeling approach to predict the current and future global distribution of A. rolfsii with special emphasis on Ghana, under Shared Socioeconomic Pathways SSP1-2.6 and SSP5-8.5 for the years 2030, 2050, and 2070. Occurrence records compiled from field surveys and global databases, and environmental variables were used for the simulation. The model exhibited high performance (AUC = 0.999), indicating excellent predictive accuracy. Precipitation of wettest month (31.6%), mean temperature of driest quarter (28.3%), isothermality (16.5%), and precipitation of driest month (8.5%) were the most important predictors. Results revealed that suitable habitats for A. rolfsii extend across Asia, Africa, the Americas, and Oceania, with a marked increase in suitability projected over time. Ghana consistently appeared as a high-risk zone, with high habitat suitability under both climate emission scenarios. These findings offer vital insights for proactive disease monitoring, policy development, and the formulation of quarantine measures aimed at mitigating the potential spread and impact of A. rolfsii in vulnerable regions.
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