Whiteflies as vectors of viruses in mixed cropping systems in the
tropical lowlands of Mexico, Central America and the Caribbean
| Geographical focus
:: Mexico, Guatemala, Honduras, El Salvador, Nicaragua, Costa
Rica, Panama, Belize, Dominican Republic, Haiti, Cuba |
Start date :: |
| Completion date :: |
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| Project Name :: |
Sustainable Integrated Management of Whiteflies
as Pests and Vectors of Plant Viruses in the Tropics |
| Project Leader :: |
Dr. Pamela Anderson |
|
| Subproject Name :: |
Whiteflies as vectors of viruses in legumes
and mixed cropping systems in the tropical lowlands of Central America,
Mexico, and the Caribbean. Preliminary studies: Geographical Information
System (GIS) |
| Subproject Description
:: |
Develop GIS ::The development of
a geographical information system (GIS) was planned as an activity
for subproject 2. To meet this objective, subproject 2 hired a GIS
specialist. Establishing a GIS, for purposes of subsequent application
to whitefly IPM studies, involves: accessing or creating digitized
base maps, agrometerological maps, crop use maps and a series of data
maps (e.g. whitefly reproductive host plants, disease incidence and
yield loss, distribution of viruses, whitefly species, biotypes and
natural enemies; pesticidue use, etc.). Development of a GIS will
allow descriptive analysis and lay the basis for more sophisticated
regional analytical work in Phase 2 of the Danida project.
Digitized base maps, with municipial-level boundaries, have been created
for Mexico, Central America and the Caribbean countries in subproject
2. Agroclimatic maps (rainfall, temperature) for the region have also
been accessed. Crop use maps for beans have been accessed for the
entire region. However, there is a general lack of information on
the geographic distribtuin of horticultural crops in the region. We
have started to incorporate the data generated for Mexico by the National
Institute of Statistics, Geography and Information (INEGI) for the
following crops: beans, tomatoes, peppers, broccoli, squash, melon,
cucumber, watermelon, soybean, and tobacco. We are exploring the availability
of similar data sets from other countries in the region.
A biological data base for the distribution of geminiviruses, whitefly
species and biotypes, natural enemies, and yield/economic losses is
being set up. The GIS interface for the base maps and biolotical data
has already been established.
Critical Area Analysis :: Once the GIS is developed and the biological
databases imported, it will be possible to use overlay methodologies
to conduct a critical area analysis. Critical area analysis involves
creating classifications for each map, assigning numerical values
to the various classifications, combining values and crating a product
map that integrates information from the individual maps. This analysis
should indicate and prioritize critical areas, or hot spots, where
intensive characterization and basic studies, including epidemiological
field studies, should be carried out in Phase 2 of the Danida Project.
|
| Project Leader :: |
Dr. Francisco Morales / Centro Internacional
de Agricultura Tropical |
| Donor Partner :: |
Danish International Development Agency - DANIDA |
Partner institutions
and collaborating professionals :: |
Colombia
Centro Internacional de Agricultura Tropical - CIAT
Dr. Francisco Morales
Dr. Steffen Schillinger
Denmark
Danmarks Jordbrugs Forskning (Danish Institute of Agricultural
Sciences) - DIAS
Dr. Niels Holst
United States
Harvard University
Dr. Richard Levins
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| Dissemination Outputs :: |
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| Keywords :: |
Geographical Information System; datasets; bean (Phaseolus
vulgaris); tomato (Lycopersicon esculentum); peppers (Capsicum
annuum and Capsicum frutescens); broccoli (Brassica
oleracea var botrytis), squash (Cucurbitaceae), melon (Cucumis
melo), cucumber (Cucumis sativus), watermelon (Citrullus
lanatus), soybean (Glycine max), tobacco (Nicotiana
tabacum), Mexico, Guatemala, Honduras, El Salvador, Nicaragua,
Costa Rica, Panama, Belize, Dominican Republic, Haiti, Cuba |
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