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The risk posed by Xanthomonas wilt disease of banana : Mapping of disease hotspots, fronts and vulnerable landscapes
- Source :
- PLoS ONE, 14(4), PLoS ONE, 14(4):e0213691. PUBLIC LIBRARY SCIENCE, PloS One, PLoS ONE, Vol 14, Iss 4, p e0213691 (2019), PLoS ONE 14 (2019) 4, PLoS ONE
- Publication Year :
- 2019
-
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.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Epidemiology
Marine and Aquatic Sciences
Disease
Bananas
01 natural sciences
Tanzania
Geographical Locations
INFECTION
Medicine and Health Sciences
SPACE
Uganda
Mozambique
Wilt disease
Disease Resistance
Disease surveillance
Multidisciplinary
biology
Agroforestry
Eukaryota
CAMPESTRIS-PV.-MUSACEARUM
Agriculture
Plants
PE&RC
TIME
Africa, Western
Geography
Infectious Diseases
Congo
Medicine
Great Lakes Region
SPREAD
Research Article
Freshwater Environments
Farms
Xanthomonas
Infectious Disease Control
Science
Disease Surveillance
Risk zone
Fruits
03 medical and health sciences
Hotspot (geology)
Life Science
Plant Diseases
Ecology and Environmental Sciences
Organisms
BACTERIAL WILT
Biology and Life Sciences
Aquatic Environments
Musa
Farm Systems Ecology Group
Bodies of Water
biology.organism_classification
Lakes
030104 developmental biology
EAST
People and Places
Africa
Disease early
Earth Sciences
Ethiopia
010606 plant biology & botany
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Database :
- OpenAIRE
- Journal :
- PLoS ONE, 14(4), PLoS ONE, 14(4):e0213691. PUBLIC LIBRARY SCIENCE, PloS One, PLoS ONE, Vol 14, Iss 4, p e0213691 (2019), PLoS ONE 14 (2019) 4, PLoS ONE
- Accession number :
- edsair.doi.dedup.....ac8d2c49187c1be162e2215a05971c97