Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1038/s41598-025-12259-1 |
Lizenz  |
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| Titel (primär) | Modeling global habitat suitability of Agroathelia rolfsii causing Sclerotium wilt disease of tomato with emphasis on Ghana |
| Autor | Ablormeti, F.K.; Corcino Souza, P.G.; Awuah, R.T.; Kwoseh, C.K.; Agbetiameh, D.; Kena, A.W.; Aidoo, K.A.S.; Lutuf, H.; Sossah, F.L.; Siqueira da Silva, R.; Aidoo, O.F. |
| Quelle | Scientific Reports |
| Erscheinungsjahr | 2025 |
| Department | OESA |
| Band/Volume | 15 |
| Seite von | art. 34034 |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Supplements | https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-025-12259-1/MediaObjects/41598_2025_12259_MOESM1_ESM.pdf |
| Keywords | Species distribution modeling; MaxEnt; Soil-borne pathogens; Climate change; Climate-smart agriculture |
| 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. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=31537 |
| Ablormeti, F.K., Corcino Souza, P.G., Awuah, R.T., Kwoseh, C.K., Agbetiameh, D., Kena, A.W., Aidoo, K.A.S., Lutuf, H., Sossah, F.L., Siqueira da Silva, R., Aidoo, O.F. (2025): Modeling global habitat suitability of Agroathelia rolfsii causing Sclerotium wilt disease of tomato with emphasis on Ghana Sci. Rep. 15 , art. 34034 10.1038/s41598-025-12259-1 |
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