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

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Title Using GIS techniques to aid in predicting a plant virus in beans
 
Creator Klass, J
Leclerc, G
Morales, FJ
Wellens, J
 
Subject PHASEOLUS VULGARIS
GEOGRAPHICAL INFORMATION SYSTEMS
PLANT VIRUSES
ENVIRONMENTAL FACTORS
BEMISIA TABACI
PLANT DISEASES
PESTS OF PLANTS
MODELS
PHASEOLUS VULGARIS
SISTEMAS DE INFORMACIÓN GEOGRÁFICA
VIRUS DE LAS PLANTAS
FACTORES AMBIENTALES
BEMISIA TABACI
ENFERMEDADES DE LAS PLANTAS
PLAGAS DE PLANTAS
MODELOS
 
Description Geographical 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.
 
Date 2016-01-18T13:31:55Z
2016-01-18T13:31:55Z
1999
 
Type Manual
 
Identifier Klass, 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.
http://hdl.handle.net/10568/69635
 
Language en
 
Publisher Centro Internacional de Agricultura Tropical (CIAT)