Weather-based logistic models to estimate total fumonisin levels in maize kernels at export terminals in Argentina

Autores
Sancho, Ana Maria; Moschini, Ricardo Carlos; Fillipini, S.; Rojas, Dante Emanuel; Ricca, Alejandra Patricia
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
Maize fumonisin (FB) contamination is strongly driven by the weather conditions and crop resistance. Logistic regression techniques were used to quantify the effect of weather-based variables on total FB content in kernel samples coming from many locations of the Argentinean Pampas region (over three growing seasons), and collected immediately after arriving at export terminals. The samples were analyzed by the HPLC method and grouped according to their proximity to the available weather stations (n = 52). The highest correlations between binary and ordinal FB levels and weather variables were found in an early critical period (17 December to 15 January) where maize silking phase (Si) frequently occurs and in a late period (15 February to 2 April) around physiological maturity (PM). The best-fitted models included variables calculated around Si that would meet the requirements of infection of F. verticillioides (precipitation-induced wetness events, high humidity and warm temperatures). Around PM, the effect of the number of days with precipitation combined with lower temperatures (13.3° to 25 °C) that would slow the kernel drying process was included, increasing the FB accumulation. An integrated system for FB management in the maize value chain should use validated weather-based models as tools for estimating seasonal kernel FB contamination levels in the Pampas region, being able to improve kernel sampling efficiency at export terminals and mills.
Instituto de Tecnología de Alimentos
Fil: Sancho, Ana María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto Tecnología Alimentos; Argentina. Universidad Nacional de Luján; Argentina
Fil: Moschini, Ricardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Fillipini, S. Universidad Nacional de Luján; Argentina
Fil: Rojas, Dante Emanuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto Tecnología Alimentos; Argentina
Fil: Ricca, Alejandra Patricia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto Tecnología Alimentos; Argentina
Fuente
Tropical plant pathology. (November 2017)
Materia
Fusarium
Fumonisinas
Maíz
Germen
Exportaciones
Logística
Datos Meteorológicos
Fumonisins
Maize
Kernels
Exports
Logistics
Weather Data
Fusarium Verticillioides
Argentina
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/1909
Acceder
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oai_identifier_str oai:localhost:20.500.12123/1909
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Weather-based logistic models to estimate total fumonisin levels in maize kernels at export terminals in ArgentinaSancho, Ana MariaMoschini, Ricardo CarlosFillipini, S.Rojas, Dante EmanuelRicca, Alejandra PatriciaFusariumFumonisinasMaízGermenExportacionesLogísticaDatos MeteorológicosFumonisinsMaizeKernelsExportsLogisticsWeather DataFusarium VerticillioidesArgentinaMaize fumonisin (FB) contamination is strongly driven by the weather conditions and crop resistance. Logistic regression techniques were used to quantify the effect of weather-based variables on total FB content in kernel samples coming from many locations of the Argentinean Pampas region (over three growing seasons), and collected immediately after arriving at export terminals. The samples were analyzed by the HPLC method and grouped according to their proximity to the available weather stations (n = 52). The highest correlations between binary and ordinal FB levels and weather variables were found in an early critical period (17 December to 15 January) where maize silking phase (Si) frequently occurs and in a late period (15 February to 2 April) around physiological maturity (PM). The best-fitted models included variables calculated around Si that would meet the requirements of infection of F. verticillioides (precipitation-induced wetness events, high humidity and warm temperatures). Around PM, the effect of the number of days with precipitation combined with lower temperatures (13.3° to 25 °C) that would slow the kernel drying process was included, increasing the FB accumulation. An integrated system for FB management in the maize value chain should use validated weather-based models as tools for estimating seasonal kernel FB contamination levels in the Pampas region, being able to improve kernel sampling efficiency at export terminals and mills.Instituto de Tecnología de AlimentosFil: Sancho, Ana María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto Tecnología Alimentos; Argentina. Universidad Nacional de Luján; ArgentinaFil: Moschini, Ricardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Fillipini, S. Universidad Nacional de Luján; ArgentinaFil: Rojas, Dante Emanuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto Tecnología Alimentos; ArgentinaFil: Ricca, Alejandra Patricia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto Tecnología Alimentos; Argentina2018-02-28T14:45:07Z2018-02-28T14:45:07Z2017-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/1909https://link.springer.com/article/10.1007/s40858-017-0199-4#1983-2052 (Online)https://doi.org/10.1007/s40858-017-0199-4Tropical plant pathology. (November 2017)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengArgentina (nation)info:eu-repo/semantics/restrictedAccess2025-11-06T09:39:26Zoai:localhost:20.500.12123/1909instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-11-06 09:39:26.618INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Weather-based logistic models to estimate total fumonisin levels in maize kernels at export terminals in Argentina
title Weather-based logistic models to estimate total fumonisin levels in maize kernels at export terminals in Argentina
spellingShingle Weather-based logistic models to estimate total fumonisin levels in maize kernels at export terminals in Argentina
Sancho, Ana Maria
Fusarium
Fumonisinas
Maíz
Germen
Exportaciones
Logística
Datos Meteorológicos
Fumonisins
Maize
Kernels
Exports
Logistics
Weather Data
Fusarium Verticillioides
Argentina
title_short Weather-based logistic models to estimate total fumonisin levels in maize kernels at export terminals in Argentina
title_full Weather-based logistic models to estimate total fumonisin levels in maize kernels at export terminals in Argentina
title_fullStr Weather-based logistic models to estimate total fumonisin levels in maize kernels at export terminals in Argentina
title_full_unstemmed Weather-based logistic models to estimate total fumonisin levels in maize kernels at export terminals in Argentina
title_sort Weather-based logistic models to estimate total fumonisin levels in maize kernels at export terminals in Argentina
dc.creator.none.fl_str_mv Sancho, Ana Maria
Moschini, Ricardo Carlos
Fillipini, S.
Rojas, Dante Emanuel
Ricca, Alejandra Patricia
author Sancho, Ana Maria
author_facet Sancho, Ana Maria
Moschini, Ricardo Carlos
Fillipini, S.
Rojas, Dante Emanuel
Ricca, Alejandra Patricia
author_role author
author2 Moschini, Ricardo Carlos
Fillipini, S.
Rojas, Dante Emanuel
Ricca, Alejandra Patricia
author2_role author
author
author
author
dc.subject.none.fl_str_mv Fusarium
Fumonisinas
Maíz
Germen
Exportaciones
Logística
Datos Meteorológicos
Fumonisins
Maize
Kernels
Exports
Logistics
Weather Data
Fusarium Verticillioides
Argentina
topic Fusarium
Fumonisinas
Maíz
Germen
Exportaciones
Logística
Datos Meteorológicos
Fumonisins
Maize
Kernels
Exports
Logistics
Weather Data
Fusarium Verticillioides
Argentina
dc.description.none.fl_txt_mv Maize fumonisin (FB) contamination is strongly driven by the weather conditions and crop resistance. Logistic regression techniques were used to quantify the effect of weather-based variables on total FB content in kernel samples coming from many locations of the Argentinean Pampas region (over three growing seasons), and collected immediately after arriving at export terminals. The samples were analyzed by the HPLC method and grouped according to their proximity to the available weather stations (n = 52). The highest correlations between binary and ordinal FB levels and weather variables were found in an early critical period (17 December to 15 January) where maize silking phase (Si) frequently occurs and in a late period (15 February to 2 April) around physiological maturity (PM). The best-fitted models included variables calculated around Si that would meet the requirements of infection of F. verticillioides (precipitation-induced wetness events, high humidity and warm temperatures). Around PM, the effect of the number of days with precipitation combined with lower temperatures (13.3° to 25 °C) that would slow the kernel drying process was included, increasing the FB accumulation. An integrated system for FB management in the maize value chain should use validated weather-based models as tools for estimating seasonal kernel FB contamination levels in the Pampas region, being able to improve kernel sampling efficiency at export terminals and mills.
Instituto de Tecnología de Alimentos
Fil: Sancho, Ana María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto Tecnología Alimentos; Argentina. Universidad Nacional de Luján; Argentina
Fil: Moschini, Ricardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Fillipini, S. Universidad Nacional de Luján; Argentina
Fil: Rojas, Dante Emanuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto Tecnología Alimentos; Argentina
Fil: Ricca, Alejandra Patricia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto Tecnología Alimentos; Argentina
description Maize fumonisin (FB) contamination is strongly driven by the weather conditions and crop resistance. Logistic regression techniques were used to quantify the effect of weather-based variables on total FB content in kernel samples coming from many locations of the Argentinean Pampas region (over three growing seasons), and collected immediately after arriving at export terminals. The samples were analyzed by the HPLC method and grouped according to their proximity to the available weather stations (n = 52). The highest correlations between binary and ordinal FB levels and weather variables were found in an early critical period (17 December to 15 January) where maize silking phase (Si) frequently occurs and in a late period (15 February to 2 April) around physiological maturity (PM). The best-fitted models included variables calculated around Si that would meet the requirements of infection of F. verticillioides (precipitation-induced wetness events, high humidity and warm temperatures). Around PM, the effect of the number of days with precipitation combined with lower temperatures (13.3° to 25 °C) that would slow the kernel drying process was included, increasing the FB accumulation. An integrated system for FB management in the maize value chain should use validated weather-based models as tools for estimating seasonal kernel FB contamination levels in the Pampas region, being able to improve kernel sampling efficiency at export terminals and mills.
publishDate 2017
dc.date.none.fl_str_mv 2017-11
2018-02-28T14:45:07Z
2018-02-28T14:45:07Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/1909
https://link.springer.com/article/10.1007/s40858-017-0199-4#
1983-2052 (Online)
https://doi.org/10.1007/s40858-017-0199-4
url http://hdl.handle.net/20.500.12123/1909
https://link.springer.com/article/10.1007/s40858-017-0199-4#
https://doi.org/10.1007/s40858-017-0199-4
identifier_str_mv 1983-2052 (Online)
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Argentina (nation)
dc.source.none.fl_str_mv Tropical plant pathology. (November 2017)
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
_version_ 1848045899791466496
score 13.084122

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