Occurrence of alfalfa dwarf disease in Argentina by a predictive function based on meteorological factors

Autores
Trucco, Veronica Milagros; Suarez, Franco; Castellano Collazo, Onias; Cabrera Mederos, Dariel; Piccardi, Monica; Giolitti, Fabian
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The alfalfa-production areas of Argentina are being affected by the viral disease known as alfalfa dwarf disease (ADD) which causes a detrimental effect on the forage crop and thus on bovine meat and milk production, one of the main economic activities of the country. In this work, predictive functions for ADD presence on alfalfa in Argentina were obtained with the meteorological variables that best explain ADD occurrence in spring and summer seasons. The predictive function for the occurrence of ADD in summer, developed using data from 39 sites, includes wind speed as a predictive meteorological variable, while the predictive function for the occurrence of ADD in spring, based on data from 58 sites, includes relative humidity and precipitation as predictive variables. This work provides the first predictive models regarding the occurrence of ADD in alfalfa crop based on the meteorological factors. Nevertheless, comprehending the influence of meteorological conditions on ADD and its effects on crop production remains a demanding but crucial task.
Instituto de Patología Vegetal
Fil: Trucco, Veronica Milagros. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Trucco, Veronica Milagros. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina
Fil: Suarez, Franco. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Área de Estadística y Biometría Córdoba; Argentina
Fil: Castellano Collazo, Onias. Fondo para la Investigación Científica y Tecnológica; Argentina
Fil: Castellano Collazo, Onias. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Cabrera Mederos, Dariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina
Fil: Cabrera Mederos, Dariel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Piccardi, Monica. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Área de Estadística y Biometría Córdoba; Argentina
Fil: Giolitti, Fabian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Giolitti, Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina
Fuente
Australasian Plant Pathology 55 : 47 (Published: 09 March 2026)
Materia
Medicago sativa
Virosis
Argentina
Viroses
Plant Viruses
Virus de las Plantas
Viral Disease
Meteorological Variables
Lucerne
Alfalfa
Virus Enanismo de la Alfalfa
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/25410
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oai_identifier_str oai:localhost:20.500.12123/25410
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network_name_str INTA Digital (INTA)
spelling Occurrence of alfalfa dwarf disease in Argentina by a predictive function based on meteorological factorsTrucco, Veronica MilagrosSuarez, FrancoCastellano Collazo, OniasCabrera Mederos, DarielPiccardi, MonicaGiolitti, FabianMedicago sativaVirosisArgentinaVirosesPlant VirusesVirus de las PlantasViral DiseaseMeteorological VariablesLucerneAlfalfaVirus Enanismo de la AlfalfaThe alfalfa-production areas of Argentina are being affected by the viral disease known as alfalfa dwarf disease (ADD) which causes a detrimental effect on the forage crop and thus on bovine meat and milk production, one of the main economic activities of the country. In this work, predictive functions for ADD presence on alfalfa in Argentina were obtained with the meteorological variables that best explain ADD occurrence in spring and summer seasons. The predictive function for the occurrence of ADD in summer, developed using data from 39 sites, includes wind speed as a predictive meteorological variable, while the predictive function for the occurrence of ADD in spring, based on data from 58 sites, includes relative humidity and precipitation as predictive variables. This work provides the first predictive models regarding the occurrence of ADD in alfalfa crop based on the meteorological factors. Nevertheless, comprehending the influence of meteorological conditions on ADD and its effects on crop production remains a demanding but crucial task.Instituto de Patología VegetalFil: Trucco, Veronica Milagros. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Trucco, Veronica Milagros. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); ArgentinaFil: Suarez, Franco. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Área de Estadística y Biometría Córdoba; ArgentinaFil: Castellano Collazo, Onias. Fondo para la Investigación Científica y Tecnológica; ArgentinaFil: Castellano Collazo, Onias. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Cabrera Mederos, Dariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); ArgentinaFil: Cabrera Mederos, Dariel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Piccardi, Monica. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Área de Estadística y Biometría Córdoba; ArgentinaFil: Giolitti, Fabian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Giolitti, Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); ArgentinaSpringer2026-03-10T12:58:47Z2026-03-10T12:58:47Z2026-03-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/25410https://link.springer.com/article/10.1007/s13313-026-01134-w0815-31911448-6032https://doi.org/10.1007/s13313-026-01134-wAustralasian Plant Pathology 55 : 47 (Published: 09 March 2026)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2019-PD-E4-I090-001, Análisis de patosistemas en cultivos agrícolas y especies forestales. Caracterización de sus componentesinfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2026-03-26T11:25:30Zoai:localhost:20.500.12123/25410instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2026-03-26 11:25:30.366INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Occurrence of alfalfa dwarf disease in Argentina by a predictive function based on meteorological factors
title Occurrence of alfalfa dwarf disease in Argentina by a predictive function based on meteorological factors
spellingShingle Occurrence of alfalfa dwarf disease in Argentina by a predictive function based on meteorological factors
Trucco, Veronica Milagros
Medicago sativa
Virosis
Argentina
Viroses
Plant Viruses
Virus de las Plantas
Viral Disease
Meteorological Variables
Lucerne
Alfalfa
Virus Enanismo de la Alfalfa
title_short Occurrence of alfalfa dwarf disease in Argentina by a predictive function based on meteorological factors
title_full Occurrence of alfalfa dwarf disease in Argentina by a predictive function based on meteorological factors
title_fullStr Occurrence of alfalfa dwarf disease in Argentina by a predictive function based on meteorological factors
title_full_unstemmed Occurrence of alfalfa dwarf disease in Argentina by a predictive function based on meteorological factors
title_sort Occurrence of alfalfa dwarf disease in Argentina by a predictive function based on meteorological factors
dc.creator.none.fl_str_mv Trucco, Veronica Milagros
Suarez, Franco
Castellano Collazo, Onias
Cabrera Mederos, Dariel
Piccardi, Monica
Giolitti, Fabian
author Trucco, Veronica Milagros
author_facet Trucco, Veronica Milagros
Suarez, Franco
Castellano Collazo, Onias
Cabrera Mederos, Dariel
Piccardi, Monica
Giolitti, Fabian
author_role author
author2 Suarez, Franco
Castellano Collazo, Onias
Cabrera Mederos, Dariel
Piccardi, Monica
Giolitti, Fabian
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Medicago sativa
Virosis
Argentina
Viroses
Plant Viruses
Virus de las Plantas
Viral Disease
Meteorological Variables
Lucerne
Alfalfa
Virus Enanismo de la Alfalfa
topic Medicago sativa
Virosis
Argentina
Viroses
Plant Viruses
Virus de las Plantas
Viral Disease
Meteorological Variables
Lucerne
Alfalfa
Virus Enanismo de la Alfalfa
dc.description.none.fl_txt_mv The alfalfa-production areas of Argentina are being affected by the viral disease known as alfalfa dwarf disease (ADD) which causes a detrimental effect on the forage crop and thus on bovine meat and milk production, one of the main economic activities of the country. In this work, predictive functions for ADD presence on alfalfa in Argentina were obtained with the meteorological variables that best explain ADD occurrence in spring and summer seasons. The predictive function for the occurrence of ADD in summer, developed using data from 39 sites, includes wind speed as a predictive meteorological variable, while the predictive function for the occurrence of ADD in spring, based on data from 58 sites, includes relative humidity and precipitation as predictive variables. This work provides the first predictive models regarding the occurrence of ADD in alfalfa crop based on the meteorological factors. Nevertheless, comprehending the influence of meteorological conditions on ADD and its effects on crop production remains a demanding but crucial task.
Instituto de Patología Vegetal
Fil: Trucco, Veronica Milagros. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Trucco, Veronica Milagros. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina
Fil: Suarez, Franco. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Área de Estadística y Biometría Córdoba; Argentina
Fil: Castellano Collazo, Onias. Fondo para la Investigación Científica y Tecnológica; Argentina
Fil: Castellano Collazo, Onias. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Cabrera Mederos, Dariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina
Fil: Cabrera Mederos, Dariel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Piccardi, Monica. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Área de Estadística y Biometría Córdoba; Argentina
Fil: Giolitti, Fabian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Giolitti, Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina
description The alfalfa-production areas of Argentina are being affected by the viral disease known as alfalfa dwarf disease (ADD) which causes a detrimental effect on the forage crop and thus on bovine meat and milk production, one of the main economic activities of the country. In this work, predictive functions for ADD presence on alfalfa in Argentina were obtained with the meteorological variables that best explain ADD occurrence in spring and summer seasons. The predictive function for the occurrence of ADD in summer, developed using data from 39 sites, includes wind speed as a predictive meteorological variable, while the predictive function for the occurrence of ADD in spring, based on data from 58 sites, includes relative humidity and precipitation as predictive variables. This work provides the first predictive models regarding the occurrence of ADD in alfalfa crop based on the meteorological factors. Nevertheless, comprehending the influence of meteorological conditions on ADD and its effects on crop production remains a demanding but crucial task.
publishDate 2026
dc.date.none.fl_str_mv 2026-03-10T12:58:47Z
2026-03-10T12:58:47Z
2026-03-09
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/20.500.12123/25410
https://link.springer.com/article/10.1007/s13313-026-01134-w
0815-3191
1448-6032
https://doi.org/10.1007/s13313-026-01134-w
url http://hdl.handle.net/20.500.12123/25410
https://link.springer.com/article/10.1007/s13313-026-01134-w
https://doi.org/10.1007/s13313-026-01134-w
identifier_str_mv 0815-3191
1448-6032
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/2019-PD-E4-I090-001, Análisis de patosistemas en cultivos agrícolas y especies forestales. Caracterización de sus componentes
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Australasian Plant Pathology 55 : 47 (Published: 09 March 2026)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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