Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in Argentina

Autores
Falasca, Silvia Liliana; Miranda del Fresno, Ma. Carolina; Pitta Alvarez, Sandra Irene
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In the last few years, world demand for guar gum (Cyamopsis tetragonoloba L) has grown considerably and its price has increased consequently. Guar bean is a grain legume with potential as a summer crop in Argentina under subhumid, semiarid and arid climate. In Argentina, the cultivation of guar has not been established, and this research was conducted to explore this possibility. The authors developed an agro-climatic zoning methodology for guar bean in Argentina, based on the bioclimatic requirements of the crop. Using as reference the climatic data from regions where cluster bean is grown in the world, the authors analyzed the average climate data provided by the National Meteorology Service to identify the potential area suited to cluster bean production in Argentina. This model may be applied in any part of the world, using the agroclimatic limits presented in this work. To obtain the maps, a series of previously interpolated bioclimatic variables were used. Afterwards, these were processed with the Geographic Information System tool of the Arc-GIS 9.3 program. The agroclimatic zoning was obtained by superimposing the following three maps: frost-free days, annual rainfall and average temperature during growing period. As a result, ten classes of agroclimatic suitability were classified: optimal, very suitable, very suitable with complementary irrigation, suitable with complementary irrigation, suitable under humid and subhumid regime, suitable with constrains under tropical and temperate climate, marginal and non suitable. The suitable areas are distributed from the North of Argentina to 40ºLatitude.
Fil: Falasca, Silvia Liliana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Miranda del Fresno, Ma. Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Humanas. Centro de Investigaciones Ecogeográficas y Ambientales; Argentina
Fil: Pitta Alvarez, Sandra Irene. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Argentina de la Empresa. Facultad de Ingeniería y Ciencias Exactas. Instituto de Tecnología; Argentina
Materia
CLUSTER BEAN
BIOCLIMATIC REQUIREMENTS
AGROCLIMATIC ZONING
ARGENTINA
GEOGRAPHIC INFORMATION SYSTEM
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/113684
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in ArgentinaFalasca, Silvia LilianaMiranda del Fresno, Ma. CarolinaPitta Alvarez, Sandra IreneCLUSTER BEANBIOCLIMATIC REQUIREMENTSAGROCLIMATIC ZONINGARGENTINAGEOGRAPHIC INFORMATION SYSTEMhttps://purl.org/becyt/ford/2.9https://purl.org/becyt/ford/2In the last few years, world demand for guar gum (Cyamopsis tetragonoloba L) has grown considerably and its price has increased consequently. Guar bean is a grain legume with potential as a summer crop in Argentina under subhumid, semiarid and arid climate. In Argentina, the cultivation of guar has not been established, and this research was conducted to explore this possibility. The authors developed an agro-climatic zoning methodology for guar bean in Argentina, based on the bioclimatic requirements of the crop. Using as reference the climatic data from regions where cluster bean is grown in the world, the authors analyzed the average climate data provided by the National Meteorology Service to identify the potential area suited to cluster bean production in Argentina. This model may be applied in any part of the world, using the agroclimatic limits presented in this work. To obtain the maps, a series of previously interpolated bioclimatic variables were used. Afterwards, these were processed with the Geographic Information System tool of the Arc-GIS 9.3 program. The agroclimatic zoning was obtained by superimposing the following three maps: frost-free days, annual rainfall and average temperature during growing period. As a result, ten classes of agroclimatic suitability were classified: optimal, very suitable, very suitable with complementary irrigation, suitable with complementary irrigation, suitable under humid and subhumid regime, suitable with constrains under tropical and temperate climate, marginal and non suitable. The suitable areas are distributed from the North of Argentina to 40ºLatitude.Fil: Falasca, Silvia Liliana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Miranda del Fresno, Ma. Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Humanas. Centro de Investigaciones Ecogeográficas y Ambientales; ArgentinaFil: Pitta Alvarez, Sandra Irene. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Argentina de la Empresa. Facultad de Ingeniería y Ciencias Exactas. Instituto de Tecnología; ArgentinaAdvances in Applied Agricultural Science2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/113684Falasca, Silvia Liliana; Miranda del Fresno, Ma. Carolina; Pitta Alvarez, Sandra Irene; Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in Argentina; Advances in Applied Agricultural Science; Advances in Applied Agricultural Science; 3; 1; 1-2015; 23-392345-6817CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.aaasjournal.com/index.php/all-volumesinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:32:30Zoai:ri.conicet.gov.ar:11336/113684instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:32:31.133CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in Argentina
title Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in Argentina
spellingShingle Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in Argentina
Falasca, Silvia Liliana
CLUSTER BEAN
BIOCLIMATIC REQUIREMENTS
AGROCLIMATIC ZONING
ARGENTINA
GEOGRAPHIC INFORMATION SYSTEM
title_short Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in Argentina
title_full Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in Argentina
title_fullStr Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in Argentina
title_full_unstemmed Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in Argentina
title_sort Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in Argentina
dc.creator.none.fl_str_mv Falasca, Silvia Liliana
Miranda del Fresno, Ma. Carolina
Pitta Alvarez, Sandra Irene
author Falasca, Silvia Liliana
author_facet Falasca, Silvia Liliana
Miranda del Fresno, Ma. Carolina
Pitta Alvarez, Sandra Irene
author_role author
author2 Miranda del Fresno, Ma. Carolina
Pitta Alvarez, Sandra Irene
author2_role author
author
dc.subject.none.fl_str_mv CLUSTER BEAN
BIOCLIMATIC REQUIREMENTS
AGROCLIMATIC ZONING
ARGENTINA
GEOGRAPHIC INFORMATION SYSTEM
topic CLUSTER BEAN
BIOCLIMATIC REQUIREMENTS
AGROCLIMATIC ZONING
ARGENTINA
GEOGRAPHIC INFORMATION SYSTEM
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.9
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In the last few years, world demand for guar gum (Cyamopsis tetragonoloba L) has grown considerably and its price has increased consequently. Guar bean is a grain legume with potential as a summer crop in Argentina under subhumid, semiarid and arid climate. In Argentina, the cultivation of guar has not been established, and this research was conducted to explore this possibility. The authors developed an agro-climatic zoning methodology for guar bean in Argentina, based on the bioclimatic requirements of the crop. Using as reference the climatic data from regions where cluster bean is grown in the world, the authors analyzed the average climate data provided by the National Meteorology Service to identify the potential area suited to cluster bean production in Argentina. This model may be applied in any part of the world, using the agroclimatic limits presented in this work. To obtain the maps, a series of previously interpolated bioclimatic variables were used. Afterwards, these were processed with the Geographic Information System tool of the Arc-GIS 9.3 program. The agroclimatic zoning was obtained by superimposing the following three maps: frost-free days, annual rainfall and average temperature during growing period. As a result, ten classes of agroclimatic suitability were classified: optimal, very suitable, very suitable with complementary irrigation, suitable with complementary irrigation, suitable under humid and subhumid regime, suitable with constrains under tropical and temperate climate, marginal and non suitable. The suitable areas are distributed from the North of Argentina to 40ºLatitude.
Fil: Falasca, Silvia Liliana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Miranda del Fresno, Ma. Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Humanas. Centro de Investigaciones Ecogeográficas y Ambientales; Argentina
Fil: Pitta Alvarez, Sandra Irene. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Argentina de la Empresa. Facultad de Ingeniería y Ciencias Exactas. Instituto de Tecnología; Argentina
description In the last few years, world demand for guar gum (Cyamopsis tetragonoloba L) has grown considerably and its price has increased consequently. Guar bean is a grain legume with potential as a summer crop in Argentina under subhumid, semiarid and arid climate. In Argentina, the cultivation of guar has not been established, and this research was conducted to explore this possibility. The authors developed an agro-climatic zoning methodology for guar bean in Argentina, based on the bioclimatic requirements of the crop. Using as reference the climatic data from regions where cluster bean is grown in the world, the authors analyzed the average climate data provided by the National Meteorology Service to identify the potential area suited to cluster bean production in Argentina. This model may be applied in any part of the world, using the agroclimatic limits presented in this work. To obtain the maps, a series of previously interpolated bioclimatic variables were used. Afterwards, these were processed with the Geographic Information System tool of the Arc-GIS 9.3 program. The agroclimatic zoning was obtained by superimposing the following three maps: frost-free days, annual rainfall and average temperature during growing period. As a result, ten classes of agroclimatic suitability were classified: optimal, very suitable, very suitable with complementary irrigation, suitable with complementary irrigation, suitable under humid and subhumid regime, suitable with constrains under tropical and temperate climate, marginal and non suitable. The suitable areas are distributed from the North of Argentina to 40ºLatitude.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/113684
Falasca, Silvia Liliana; Miranda del Fresno, Ma. Carolina; Pitta Alvarez, Sandra Irene; Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in Argentina; Advances in Applied Agricultural Science; Advances in Applied Agricultural Science; 3; 1; 1-2015; 23-39
2345-6817
CONICET Digital
CONICET
url http://hdl.handle.net/11336/113684
identifier_str_mv Falasca, Silvia Liliana; Miranda del Fresno, Ma. Carolina; Pitta Alvarez, Sandra Irene; Modeling an agroclimatic zoning methodology to determine the potential growing areas for Cyamopsis tetragonoloba (Guar gum) in Argentina; Advances in Applied Agricultural Science; Advances in Applied Agricultural Science; 3; 1; 1-2015; 23-39
2345-6817
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.aaasjournal.com/index.php/all-volumes
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Advances in Applied Agricultural Science
publisher.none.fl_str_mv Advances in Applied Agricultural Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.069144

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