Show simple item record

resumen

Abstract
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 [ver mas...]
dc.contributor.authorSancho, Ana Maria
dc.contributor.authorMoschini, Ricardo Carlos
dc.contributor.authorFillipini, S.
dc.contributor.authorRojas, Dante Emanuel
dc.contributor.authorRicca, Alejandra Patricia
dc.coverage.spatialArgentina (nation)
dc.date.accessioned2018-02-28T14:45:07Z
dc.date.available2018-02-28T14:45:07Z
dc.date.issued2017-11
dc.identifier.issn1983-2052 (Online)
dc.identifier.otherhttps://doi.org/10.1007/s40858-017-0199-4
dc.identifier.urihttp://hdl.handle.net/20.500.12123/1909
dc.identifier.urihttps://link.springer.com/article/10.1007/s40858-017-0199-4#
dc.description.abstractMaize 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceTropical plant pathology. (November 2017)es_AR
dc.subjectFusariumes_AR
dc.subjectFumonisinases_AR
dc.subjectFumonisinseng
dc.subjectMaízes_AR
dc.subjectMaizeeng
dc.subjectGermenes_AR
dc.subjectKernelseng
dc.subjectExportacioneses_AR
dc.subjectExportseng
dc.subjectLogísticaes_AR
dc.subjectLogisticseng
dc.subjectDatos Meteorológicoses_AR
dc.subjectWeather Dataeng
dc.subject.otherFusarium Verticillioideses_AR
dc.subject.otherArgentina
dc.titleWeather-based logistic models to estimate total fumonisin levels in maize kernels at export terminals in Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/acceptedVersiones_AR
dc.description.origenInstituto de Tecnología de Alimentoses_AR
dc.description.filFil: Sancho, Ana María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto Tecnología Alimentos; Argentina. Universidad Nacional de Luján; Argentinaes_AR
dc.description.filFil: Moschini, Ricardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.description.filFil: Fillipini, S. Universidad Nacional de Luján; Argentinaes_AR
dc.description.filFil: Rojas, Dante Emanuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto Tecnología Alimentos; Argentinaes_AR
dc.description.filFil: Ricca, Alejandra Patricia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto Tecnología Alimentos; Argentinaes_AR
dc.subtypecientifico


Files in this item

Thumbnail

This item appears in the following Collection(s)

common

Show simple item record