Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybrids

Autores
Moschini, Ricardo Carlos; Borsarelli, Mario; Martinez, Malvina Irene; Presello, Daniel Alberto; Ferraguti, Facundo Javier; Cristos, Diego Sebastian; Rojas, Dante Emanuel
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The effects of meteorological conditions around silking (Si) and physiological maturity (PM) on production of fumonisins (FB=FB1 + FB2) in maize kernels were analyzed. Kernel FB contents were determined on kernel samples collected from an experimental susceptible hybrid (n = 35) and a Bt commercial hybrid (n = 23) planted in several growing seasons/sites from the Argentinean Pampas. Considering the effect of genetic divergence of the two maize hybrids, total kernel FB concentrations (n = 52) binary coded, were predicted appropriately by weather-based logistic regression models but underestimated in some samples severely contaminated with FB. After removing these misclassified cases that registered maximum values of a drought-heat stress index (DI) calculated over 30 days around Si, and weather conditions (assessed by weather interactive components) conducive to infection/production of FB in PM, new logistic models were fitted. These new models improved their predictive ability indices. It was remarkable a model including the discrete genetic variable and the weather variable associated with the simultaneous occurrence of precipitation, temperature between 19.5–33 °C and relative humidity >70%, required for fungal infection in Si. Models that also included weather variables calculated in PM and associated with the kernel drying rate and fungal infection, did not result in better prediction outcomes. Opposite to the general trend, the occurrence of both severe heat-drought stress around Si and favorable weather around PM led to high kernel FB contents. We hypothesize that husk shortening by stress at silking might expose ears, promoting Fusarium verticillioides colonization/FB synthesis in late stages of kernel development and maturity, whenever favorable environmental conditions for both processes prevail.
Instituto de Clima y Agua
Fil: Moschini, Ricardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Borsarelli, M. BAYER Argentina; Argentina
Fil: Martínez, Malvina I. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Presello, D.A. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; Argentina
Fil: Ferraguti, F. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina
Fil: Cristos, D. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Alimentos; Argentina
Fil: Rojas, D. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Alimentos; Argentina
Fuente
Australasian Plant Pathology 49 (6) : 665-677. (November 2020)
Materia
Fusarium
Mycotoxins
Fumonisins
Maize
Micotoxinas
Fumonisinas
Maíz
Fusarium verticillioides
Modelos de Regresión Logística
Variables Climáticas
Logistic Regression Models
Weather Variables
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:20.500.12123/17712
Acceder
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oai_identifier_str oai:localhost:20.500.12123/17712
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network_name_str INTA Digital (INTA)
spelling Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybridsMoschini, Ricardo CarlosBorsarelli, MarioMartinez, Malvina IrenePresello, Daniel AlbertoFerraguti, Facundo JavierCristos, Diego SebastianRojas, Dante EmanuelFusariumMycotoxinsFumonisinsMaizeMicotoxinasFumonisinasMaízFusarium verticillioidesModelos de Regresión LogísticaVariables ClimáticasLogistic Regression ModelsWeather VariablesThe effects of meteorological conditions around silking (Si) and physiological maturity (PM) on production of fumonisins (FB=FB1 + FB2) in maize kernels were analyzed. Kernel FB contents were determined on kernel samples collected from an experimental susceptible hybrid (n = 35) and a Bt commercial hybrid (n = 23) planted in several growing seasons/sites from the Argentinean Pampas. Considering the effect of genetic divergence of the two maize hybrids, total kernel FB concentrations (n = 52) binary coded, were predicted appropriately by weather-based logistic regression models but underestimated in some samples severely contaminated with FB. After removing these misclassified cases that registered maximum values of a drought-heat stress index (DI) calculated over 30 days around Si, and weather conditions (assessed by weather interactive components) conducive to infection/production of FB in PM, new logistic models were fitted. These new models improved their predictive ability indices. It was remarkable a model including the discrete genetic variable and the weather variable associated with the simultaneous occurrence of precipitation, temperature between 19.5–33 °C and relative humidity >70%, required for fungal infection in Si. Models that also included weather variables calculated in PM and associated with the kernel drying rate and fungal infection, did not result in better prediction outcomes. Opposite to the general trend, the occurrence of both severe heat-drought stress around Si and favorable weather around PM led to high kernel FB contents. We hypothesize that husk shortening by stress at silking might expose ears, promoting Fusarium verticillioides colonization/FB synthesis in late stages of kernel development and maturity, whenever favorable environmental conditions for both processes prevail.Instituto de Clima y AguaFil: Moschini, Ricardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Borsarelli, M. BAYER Argentina; ArgentinaFil: Martínez, Malvina I. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Presello, D.A. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; ArgentinaFil: Ferraguti, F. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; ArgentinaFil: Cristos, D. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Alimentos; ArgentinaFil: Rojas, D. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Alimentos; ArgentinaSpringer2024-05-13T13:05:02Z2024-05-13T13:05:02Z2020-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/17712https://link.springer.com/article/10.1007/s13313-020-00742-40815-3191https://doi.org/10.1007/s13313-020-00742-4Australasian Plant Pathology 49 (6) : 665-677. (November 2020)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo: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)2025-10-16T09:31:37Zoai:localhost:20.500.12123/17712instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-16 09:31:37.874INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybrids
title Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybrids
spellingShingle Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybrids
Moschini, Ricardo Carlos
Fusarium
Mycotoxins
Fumonisins
Maize
Micotoxinas
Fumonisinas
Maíz
Fusarium verticillioides
Modelos de Regresión Logística
Variables Climáticas
Logistic Regression Models
Weather Variables
title_short Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybrids
title_full Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybrids
title_fullStr Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybrids
title_full_unstemmed Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybrids
title_sort Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybrids
dc.creator.none.fl_str_mv Moschini, Ricardo Carlos
Borsarelli, Mario
Martinez, Malvina Irene
Presello, Daniel Alberto
Ferraguti, Facundo Javier
Cristos, Diego Sebastian
Rojas, Dante Emanuel
author Moschini, Ricardo Carlos
author_facet Moschini, Ricardo Carlos
Borsarelli, Mario
Martinez, Malvina Irene
Presello, Daniel Alberto
Ferraguti, Facundo Javier
Cristos, Diego Sebastian
Rojas, Dante Emanuel
author_role author
author2 Borsarelli, Mario
Martinez, Malvina Irene
Presello, Daniel Alberto
Ferraguti, Facundo Javier
Cristos, Diego Sebastian
Rojas, Dante Emanuel
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Fusarium
Mycotoxins
Fumonisins
Maize
Micotoxinas
Fumonisinas
Maíz
Fusarium verticillioides
Modelos de Regresión Logística
Variables Climáticas
Logistic Regression Models
Weather Variables
topic Fusarium
Mycotoxins
Fumonisins
Maize
Micotoxinas
Fumonisinas
Maíz
Fusarium verticillioides
Modelos de Regresión Logística
Variables Climáticas
Logistic Regression Models
Weather Variables
dc.description.none.fl_txt_mv The effects of meteorological conditions around silking (Si) and physiological maturity (PM) on production of fumonisins (FB=FB1 + FB2) in maize kernels were analyzed. Kernel FB contents were determined on kernel samples collected from an experimental susceptible hybrid (n = 35) and a Bt commercial hybrid (n = 23) planted in several growing seasons/sites from the Argentinean Pampas. Considering the effect of genetic divergence of the two maize hybrids, total kernel FB concentrations (n = 52) binary coded, were predicted appropriately by weather-based logistic regression models but underestimated in some samples severely contaminated with FB. After removing these misclassified cases that registered maximum values of a drought-heat stress index (DI) calculated over 30 days around Si, and weather conditions (assessed by weather interactive components) conducive to infection/production of FB in PM, new logistic models were fitted. These new models improved their predictive ability indices. It was remarkable a model including the discrete genetic variable and the weather variable associated with the simultaneous occurrence of precipitation, temperature between 19.5–33 °C and relative humidity >70%, required for fungal infection in Si. Models that also included weather variables calculated in PM and associated with the kernel drying rate and fungal infection, did not result in better prediction outcomes. Opposite to the general trend, the occurrence of both severe heat-drought stress around Si and favorable weather around PM led to high kernel FB contents. We hypothesize that husk shortening by stress at silking might expose ears, promoting Fusarium verticillioides colonization/FB synthesis in late stages of kernel development and maturity, whenever favorable environmental conditions for both processes prevail.
Instituto de Clima y Agua
Fil: Moschini, Ricardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Borsarelli, M. BAYER Argentina; Argentina
Fil: Martínez, Malvina I. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Presello, D.A. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; Argentina
Fil: Ferraguti, F. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina
Fil: Cristos, D. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Alimentos; Argentina
Fil: Rojas, D. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Alimentos; Argentina
description The effects of meteorological conditions around silking (Si) and physiological maturity (PM) on production of fumonisins (FB=FB1 + FB2) in maize kernels were analyzed. Kernel FB contents were determined on kernel samples collected from an experimental susceptible hybrid (n = 35) and a Bt commercial hybrid (n = 23) planted in several growing seasons/sites from the Argentinean Pampas. Considering the effect of genetic divergence of the two maize hybrids, total kernel FB concentrations (n = 52) binary coded, were predicted appropriately by weather-based logistic regression models but underestimated in some samples severely contaminated with FB. After removing these misclassified cases that registered maximum values of a drought-heat stress index (DI) calculated over 30 days around Si, and weather conditions (assessed by weather interactive components) conducive to infection/production of FB in PM, new logistic models were fitted. These new models improved their predictive ability indices. It was remarkable a model including the discrete genetic variable and the weather variable associated with the simultaneous occurrence of precipitation, temperature between 19.5–33 °C and relative humidity >70%, required for fungal infection in Si. Models that also included weather variables calculated in PM and associated with the kernel drying rate and fungal infection, did not result in better prediction outcomes. Opposite to the general trend, the occurrence of both severe heat-drought stress around Si and favorable weather around PM led to high kernel FB contents. We hypothesize that husk shortening by stress at silking might expose ears, promoting Fusarium verticillioides colonization/FB synthesis in late stages of kernel development and maturity, whenever favorable environmental conditions for both processes prevail.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-01
2024-05-13T13:05:02Z
2024-05-13T13:05:02Z
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/20.500.12123/17712
https://link.springer.com/article/10.1007/s13313-020-00742-4
0815-3191
https://doi.org/10.1007/s13313-020-00742-4
url http://hdl.handle.net/20.500.12123/17712
https://link.springer.com/article/10.1007/s13313-020-00742-4
https://doi.org/10.1007/s13313-020-00742-4
identifier_str_mv 0815-3191
dc.language.none.fl_str_mv eng
language eng
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 49 (6) : 665-677. (November 2020)
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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