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dc.contributor.author
Ocimati, Walter
dc.contributor.author
Bouwmeester, Hein
dc.contributor.author
Groot, Jeroen C.J.
dc.contributor.author
Tittonell, Pablo
dc.contributor.author
Brown, David
dc.contributor.author
Blomme, Guy
dc.date.available
2023-08-18T18:58:15Z
dc.date.issued
2019-04
dc.identifier.citation
Ocimati, Walter; Bouwmeester, Hein; Groot, Jeroen C.J.; Tittonell, Pablo; Brown, David; et al.; The risk posed by Xanthomonas wilt disease of banana: Mapping of disease hotspots, fronts and vulnerable landscapes; Public Library of Science; Plos One; 14; 4; 4-2019; 1-19
dc.identifier.issn
1932-6203
dc.identifier.uri
http://hdl.handle.net/11336/208787
dc.description.abstract
Banana production landscapes in the African Great Lakes Region (AGLR) have been under immense pressure from Xanthomonas wilt (XW) disease over the past two decades. XW, first reported on banana in central Uganda and eastern DR Congo in 2001, has since spread to the entire AGLR. XW is currently spreading westwards from hot spots in eastern DR Congo highlands, putting the plantain (Musa AAB genome) belt of central and west Africa at risk. In-depth understanding of the key variables responsible for disease spread, current hotspots, and vulnerable landscapes is crucial for disease early warning and management. We mapped aggregated disease distribution and hotspots in the AGLR and identified vulnerable landscapes across African banana production zones. Available data on disease prevalence collected over 11 years was regressed against environmental and expert developed covariates to develop the AGLR XW hotspots map. For the Africa-wide risk map, precipitation, distance to hotspots, degree of trade in fresh banana products, production zone interconnectedness and banana genotype composition were used as covariates. In the AGLR, XW was mainly correlated to precipitation and disease/banana management. Altitude and temperature had unexpectedly low effects, possibly due to an overriding impact of tool-mediated spread which is part of the management covariate. In the AGLR, the eastern part of DR Congo was a large hotspot with highest vulnerability. Apart from endemic zones in the AGLR and Ethiopia, northern Mozambique was perceived as a moderate risk zone mainly due to the predominance of ‘Bluggoe’ (Musa ABB type) which is highly susceptible to insect-vectored transmission. Presence of XW hotspots (e.g. eastern DR Congo) and vulnerable areas with low (e.g. north-western Tanzania) or no disease (e.g. Congo basin, western DR Congo and northern Mozambique) pressure suggest key areas where proactive measures e.g. quarantines and information sharing on XW diagnosis, epidemiology, and control could be beneficial.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Public Library of Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
Xanthomonas
dc.subject
Banana
dc.subject.classification
Otras Ciencias Agrícolas
dc.subject.classification
Otras Ciencias Agrícolas
dc.subject.classification
CIENCIAS AGRÍCOLAS
dc.title
The risk posed by Xanthomonas wilt disease of banana: Mapping of disease hotspots, fronts and vulnerable landscapes
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-08-15T23:09:19Z
dc.journal.volume
14
dc.journal.number
4
dc.journal.pagination
1-19
dc.journal.pais
Estados Unidos
dc.journal.ciudad
San Francisco
dc.description.fil
Fil: Ocimati, Walter. University of Agriculture Wageningen; Países Bajos
dc.description.fil
Fil: Bouwmeester, Hein. Geospace; Países Bajos
dc.description.fil
Fil: Groot, Jeroen C.J.. University of Agriculture Wageningen; Países Bajos
dc.description.fil
Fil: Tittonell, Pablo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina. University of Groningen; Países Bajos
dc.description.fil
Fil: Brown, David. Bioversity International; Costa Rica
dc.description.fil
Fil: Blomme, Guy. Bioversity International; Costa Rica
dc.journal.title
Plos One
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1371/journal.pone.0213691
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0213691
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