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...

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Autores principales: Moschini, Ricardo, Borsarelli, M., Martinez, Malvina Irene, Presello, Daniel Alberto, Ferraguti, Facundo Javier, Cristos, Diego Sebastian, Rojas, Dante Emanuel
Formato: Artículo
Lenguaje:Inglés
Publicado: Springer 2021
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12123/9083
https://link.springer.com/article/10.1007%2Fs13313-020-00742-4
https://doi.org/10.1007/s13313-020-00742-4
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author Moschini, Ricardo
Borsarelli, M.
Martinez, Malvina Irene
Presello, Daniel Alberto
Ferraguti, Facundo Javier
Cristos, Diego Sebastian
Rojas, Dante Emanuel
author_browse Borsarelli, M.
Cristos, Diego Sebastian
Ferraguti, Facundo Javier
Martinez, Malvina Irene
Moschini, Ricardo
Presello, Daniel Alberto
Rojas, Dante Emanuel
author_facet Moschini, Ricardo
Borsarelli, M.
Martinez, Malvina Irene
Presello, Daniel Alberto
Ferraguti, Facundo Javier
Cristos, Diego Sebastian
Rojas, Dante Emanuel
author_sort Moschini, Ricardo
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 thesemisclassified cases that registered maximum values ofa 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.
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spelling INTA90832021-04-14T11:27:12Z Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybrids Moschini, Ricardo Borsarelli, M. Martinez, Malvina Irene Presello, Daniel Alberto Ferraguti, Facundo Javier Cristos, Diego Sebastian Rojas, Dante Emanuel Fusarium Micotoxinas Variables Meteorológicas Mycotoxins Weather Variables Maize Hybrids Fumonisins Maíz Híbridos Fumonisinas Logistic Regression Models Modelos de Regresión Logística 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 thesemisclassified cases that registered maximum values ofa 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. Fil: Moschini, Ricardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Borsarelli. M. Bayer Argentina; Argentina Fil: Martinez, Malvina Irene. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Presello, Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Maíz; Argentina Fil: Ferraguti, Facundo Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina. Fil: Cristos, Diego Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Tecnología de Alimentos; Argentina Fil: Rojas, Dante Emanuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Tecnología de Alimentos; Argentina 2021-04-14T11:12:51Z 2021-04-14T11:12:51Z 2020-09-25 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/9083 https://link.springer.com/article/10.1007%2Fs13313-020-00742-4 1833-928X https://doi.org/10.1007/s13313-020-00742-4 eng info:eu-repo/semantics/restrictedAccess application/pdf Springer Australasian Plant Pathology 49 (6) : 665-677 (20209
spellingShingle Fusarium
Micotoxinas
Variables Meteorológicas
Mycotoxins
Weather Variables
Maize
Hybrids
Fumonisins
Maíz
Híbridos
Fumonisinas
Logistic Regression Models
Modelos de Regresión Logística
Moschini, Ricardo
Borsarelli, M.
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
Micotoxinas
Variables Meteorológicas
Mycotoxins
Weather Variables
Maize
Hybrids
Fumonisins
Maíz
Híbridos
Fumonisinas
Logistic Regression Models
Modelos de Regresión Logística
url http://hdl.handle.net/20.500.12123/9083
https://link.springer.com/article/10.1007%2Fs13313-020-00742-4
https://doi.org/10.1007/s13313-020-00742-4
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