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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Moschini, Ricardo Carlos, Borsarelli, Mario, Martinez, Malvina Irene, Presello, Daniel Alberto, Ferraguti, Facundo Javier, Cristos, Diego Sebastian, Rojas, Dante Emanuel
Formato: Artículo
Lenguaje:Inglés
Publicado: Springer 2024
Materias:
Acceso en línea: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
_version_ 1855486019487399936
author Moschini, Ricardo Carlos
Borsarelli, Mario
Martinez, Malvina Irene
Presello, Daniel Alberto
Ferraguti, Facundo Javier
Cristos, Diego Sebastian
Rojas, Dante Emanuel
author_browse Borsarelli, Mario
Cristos, Diego Sebastian
Ferraguti, Facundo Javier
Martinez, Malvina Irene
Moschini, Ricardo Carlos
Presello, Daniel Alberto
Rojas, Dante Emanuel
author_facet Moschini, Ricardo Carlos
Borsarelli, Mario
Martinez, Malvina Irene
Presello, Daniel Alberto
Ferraguti, Facundo Javier
Cristos, Diego Sebastian
Rojas, Dante Emanuel
author_sort Moschini, Ricardo Carlos
collection INTA Digital
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.
format Artículo
id INTA17712
institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
language Inglés
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher Springer
publisherStr Springer
record_format dspace
spelling INTA177122024-05-13T13:31:02Z Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybrids Moschini, Ricardo Carlos Borsarelli, Mario Martinez, Malvina Irene Presello, Daniel Alberto Ferraguti, Facundo Javier Cristos, Diego Sebastian Rojas, Dante Emanuel Fusarium Mycotoxins Fumonisins Maize Micotoxinas Fumonisinas Maíz Fusarium verticillioides Modelos de Regresión Logística Variables Climáticas Logistic Regression Models Weather Variables 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 2024-05-13T13:05:02Z 2024-05-13T13:05:02Z 2020-11-01 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng 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) application/pdf Springer Australasian Plant Pathology 49 (6) : 665-677. (November 2020)
spellingShingle Fusarium
Mycotoxins
Fumonisins
Maize
Micotoxinas
Fumonisinas
Maíz
Fusarium verticillioides
Modelos de Regresión Logística
Variables Climáticas
Logistic Regression Models
Weather Variables
Moschini, Ricardo Carlos
Borsarelli, Mario
Martinez, Malvina Irene
Presello, Daniel Alberto
Ferraguti, Facundo Javier
Cristos, Diego Sebastian
Rojas, Dante Emanuel
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
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_short 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
topic Fusarium
Mycotoxins
Fumonisins
Maize
Micotoxinas
Fumonisinas
Maíz
Fusarium verticillioides
Modelos de Regresión Logística
Variables Climáticas
Logistic Regression Models
Weather Variables
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
work_keys_str_mv AT moschiniricardocarlos analysisofpreharvestmeteorologicalconditionsinrelationtoconcentrationoffumonisinsinkernelsoftwogeneticallydifferentmaizehybrids
AT borsarellimario analysisofpreharvestmeteorologicalconditionsinrelationtoconcentrationoffumonisinsinkernelsoftwogeneticallydifferentmaizehybrids
AT martinezmalvinairene analysisofpreharvestmeteorologicalconditionsinrelationtoconcentrationoffumonisinsinkernelsoftwogeneticallydifferentmaizehybrids
AT presellodanielalberto analysisofpreharvestmeteorologicalconditionsinrelationtoconcentrationoffumonisinsinkernelsoftwogeneticallydifferentmaizehybrids
AT ferragutifacundojavier analysisofpreharvestmeteorologicalconditionsinrelationtoconcentrationoffumonisinsinkernelsoftwogeneticallydifferentmaizehybrids
AT cristosdiegosebastian analysisofpreharvestmeteorologicalconditionsinrelationtoconcentrationoffumonisinsinkernelsoftwogeneticallydifferentmaizehybrids
AT rojasdanteemanuel analysisofpreharvestmeteorologicalconditionsinrelationtoconcentrationoffumonisinsinkernelsoftwogeneticallydifferentmaizehybrids