Metodología para seleccionar zonas de intervención con cultivos biofortificados
OBJECTIVE: To identify geographical areas in Latin America and the Caribbean where biofortification of staple crops, such as beans, corn, rice, cassava, and sweet potatoes, might help reduce nutritional deficiencies in the Region. METHODS: A geographic information system (GIS) was produced with rec...
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| Format: | Journal Article |
| Language: | Español |
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FapUNIFESP
2009
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/42490 |
| _version_ | 1855517597780410368 |
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| author | Monserrate Rojas, Fredy Alexander Pachón, Helena Hyman, Glenn G. Vesga Varela, A.L. |
| author_browse | Hyman, Glenn G. Monserrate Rojas, Fredy Alexander Pachón, Helena Vesga Varela, A.L. |
| author_facet | Monserrate Rojas, Fredy Alexander Pachón, Helena Hyman, Glenn G. Vesga Varela, A.L. |
| author_sort | Monserrate Rojas, Fredy Alexander |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | OBJECTIVE: To identify geographical areas in Latin America and the Caribbean where biofortification of staple crops, such as beans, corn, rice, cassava, and sweet potatoes, might help reduce nutritional deficiencies in the Region.
METHODS: A geographic information system (GIS) was produced with records on nutritional risks, crop production, food consumption, and demographic and socioeconomic data, for 11 countries in the Region. Four case studies were conducted (in Bolivia, Colombia, Guatemala, and Mexico) using exploratory and descriptive analysis of thematic maps that were superimposed and compared to reveal overlapping and spatial patterns, thereby identifying areas suited to intervention.
RESULTS: In Guatemala, the highest rates of nutritional risk, bean production, and population density overlapped in the northeast and southeast areas. In Mexico, spatial distribution of the highest risk levels for nutrition, poverty, and corn production were concentrated in the central and southern municipalities. In Bolivia, bean production tended to be in the eastern part of the country, and nutritional risk, in the west. In Colombia, both nutritional risk and cassava production showed wide geographic dispersion.
CONCLUSIONS: For Guatemala, we propose iron biofortification of beans in the southern parts of the northeast and southeast; for Mexico, amino-acid biofortification of corn in the central and southern municipalities that produce it; for Bolivia, iron and zinc biofortification of beans in the bean-producing areas of Santa Cruz, Chuquisaca, and Tarija; and for Colombia, β-carotene biofortification of cassava in the Cordoba and Cundinamarca departments. |
| format | Journal Article |
| id | CGSpace42490 |
| institution | CGIAR Consortium |
| language | Español |
| publishDate | 2009 |
| publishDateRange | 2009 |
| publishDateSort | 2009 |
| publisher | FapUNIFESP |
| publisherStr | FapUNIFESP |
| record_format | dspace |
| spelling | CGSpace424902025-11-12T05:53:44Z Metodología para seleccionar zonas de intervención con cultivos biofortificados Methodology for selecting areas for biofortified crop intervention Monserrate Rojas, Fredy Alexander Pachón, Helena Hyman, Glenn G. Vesga Varela, A.L. food fortification food enrichment zoning geographical information systems malnutrition fortificación de alimentos enriquecimiento de los alimentos zonificación sistemas de información geográfica malnutrición OBJECTIVE: To identify geographical areas in Latin America and the Caribbean where biofortification of staple crops, such as beans, corn, rice, cassava, and sweet potatoes, might help reduce nutritional deficiencies in the Region. METHODS: A geographic information system (GIS) was produced with records on nutritional risks, crop production, food consumption, and demographic and socioeconomic data, for 11 countries in the Region. Four case studies were conducted (in Bolivia, Colombia, Guatemala, and Mexico) using exploratory and descriptive analysis of thematic maps that were superimposed and compared to reveal overlapping and spatial patterns, thereby identifying areas suited to intervention. RESULTS: In Guatemala, the highest rates of nutritional risk, bean production, and population density overlapped in the northeast and southeast areas. In Mexico, spatial distribution of the highest risk levels for nutrition, poverty, and corn production were concentrated in the central and southern municipalities. In Bolivia, bean production tended to be in the eastern part of the country, and nutritional risk, in the west. In Colombia, both nutritional risk and cassava production showed wide geographic dispersion. CONCLUSIONS: For Guatemala, we propose iron biofortification of beans in the southern parts of the northeast and southeast; for Mexico, amino-acid biofortification of corn in the central and southern municipalities that produce it; for Bolivia, iron and zinc biofortification of beans in the bean-producing areas of Santa Cruz, Chuquisaca, and Tarija; and for Colombia, β-carotene biofortification of cassava in the Cordoba and Cundinamarca departments. OBJETIVO: Identificar zonas geográficas de América Latina y el Caribe para la biofortificación de cultivos básicos como frijol, maíz, arroz, yuca y batata, contribuyendo así a reducir las deficiencias nutricionales en la Región. MÉTODO: Se generó un sistema de información geográfica (SIG) que incluyó registros sobre riesgos nutricionales, producción de cultivos, consumos alimenticios, y datos demográficos y socioeconómicos para 11 países de la Región. Se realizaron cuatro estudios de caso (en Guatemala, México, Bolivia y Colombia) basados en un análisis exploratorio y descriptivo de mapas temáticos, y su superposición y comparación para buscar patrones espaciales e identificar zonas candidatas de intervención. RESULTADOS: En Guatemala, las mayores tasas de riesgos nutricionales, producción de frijol y densidad poblacional coincidieron en las regiones Nororiental y Suroriental. En México, la distribución espacial de los niveles más altos de riesgos nutricionales, pobreza y producción de maíz se concentraron en los municipios del centro y sur. En Bolivia la producción de frijol tendió a situarse en el este del país, y el riesgo nutricional en el oeste. En Colombia, tanto los riesgos nutricionales como la producción de yuca mostraron una gran dispersión geográfica. CONCLUSIONES: Para Guatemala se propone la biofortificación con hierro del frijol en el sur de la región Nororiental y en la Suroriental, en México, la biofortificación del maíz con aminoácidos en los municipios productores del centro y sur del país; para Bolivia, una intervención con frijol biofortificado con hierro y zinc en zonas productoras de Santa Cruz, Chuquisaca y Tarija; y en Colombia, la biofortificación de yuca con β-caroteno en los departamentos de Córdoba y Cundinamarca. 2009 2014-09-24T07:58:04Z 2014-09-24T07:58:04Z Journal Article https://hdl.handle.net/10568/42490 es Open Access application/pdf FapUNIFESP Monserrate Rojas, F. A., Pachón, H., Hyman, G. G., & Vesga Varela, A. L. (2009). Metodología para seleccionar zonas de intervención con cultivos biofortificados. Revista Panamericana de Salud Pública 26(5): 419–428. FapUNIFESP (SciELO). https://doi.org/10.1590/s1020-49892009001100006 |
| spellingShingle | food fortification food enrichment zoning geographical information systems malnutrition fortificación de alimentos enriquecimiento de los alimentos zonificación sistemas de información geográfica malnutrición Monserrate Rojas, Fredy Alexander Pachón, Helena Hyman, Glenn G. Vesga Varela, A.L. Metodología para seleccionar zonas de intervención con cultivos biofortificados |
| title | Metodología para seleccionar zonas de intervención con cultivos biofortificados |
| title_full | Metodología para seleccionar zonas de intervención con cultivos biofortificados |
| title_fullStr | Metodología para seleccionar zonas de intervención con cultivos biofortificados |
| title_full_unstemmed | Metodología para seleccionar zonas de intervención con cultivos biofortificados |
| title_short | Metodología para seleccionar zonas de intervención con cultivos biofortificados |
| title_sort | metodologia para seleccionar zonas de intervencion con cultivos biofortificados |
| topic | food fortification food enrichment zoning geographical information systems malnutrition fortificación de alimentos enriquecimiento de los alimentos zonificación sistemas de información geográfica malnutrición |
| url | https://hdl.handle.net/10568/42490 |
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