Using GIS techniques to aid in predicting a plant virus in beans

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dc.creatorKlass, J
dc.creatorLeclerc, Gregoire
dc.creatorMorales, Francisco José
dc.creatorWellens, J
dc.date1999
dc.date2016-01-18T13:31:55Z
dc.date2016-01-18T13:31:55Z
dc.date.accessioned2026-06-27T14:44:30Z
dc.descriptionGeographical information systems (GIS) assist us in mapping and analyzing outbreaks of diseases in plants, animals and humans. This paper describes how GIS are being used to model the intensity of the outbreak of a plant virus, bean golden mosaic virus (BGMV) in Guatemala, Honduras and El Salvador. BGMV is a geminivirus affecting beans (Phaseolus vulgaris) and is transmitted by a vector, the sweet potato whitefly (Bemisia tabaci). Once a plant is infected by the virus yield losses, at varying locations, can range from 40% to 100%. Plant pathologists can improve upon integrated pest management strategies to monitor virus movement and outbreaks by estimating the likelihood of risk in a cropping systems. For the purpose of this analysis three techniques were selected (multivariate logistic regression, Fourier transform with principle components analysis and a multi-process boolean analysis) to predict the spatial occurrence of BGMV in beans. The methods selected are based on the location of the virus (presence/absence) and the environmental factors determining the distribution of the vector. The process involves predicting the distribution of the vector by modeling and mapping the probability of occurrence using environmental variables, such as minimum and maximum temperature ranges, elevation, rainfall and number of dry months. The results of the methods are compared, evaluated and discussed.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/69635
dc.identifier.urihttp://hdl.handle.net/123456789/87074
dc.languageen
dc.publisherInternational Center for Tropical Agriculture
dc.rightsOpen Access
dc.sourceKlass, Justine; Leclerc, Gregoire; Morales, Francisco José; Wellens, J. 1999. Using GIS techniques to aid in predicting a plant virus in beans. Centro Internacional de Agricultura Tropical (CIAT), Cali, CO. 13 p.
dc.subjectphaseolus vulgaris
dc.subjectgeographical information systems
dc.subjectplant viruses
dc.subjectenvironmental factors
dc.subjectbemisia tabaci
dc.subjectplant diseases
dc.subjectpests of plants
dc.subjectmodels
dc.subjectsistemas de información geográfica
dc.subjectvirus de las plantas
dc.subjectfactores ambientales
dc.subjectenfermedades de las plantas
dc.subjectplagas de plantas
dc.subjectmodelos
dc.titleUsing GIS techniques to aid in predicting a plant virus in beans
dc.typeManual

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