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resumen

Resumen
Peanut smut (Thecaphora frezzii) is one of the most important peanut diseases in Argentinian peanut production. This monocyclic soil-borne pathogen transforms kernels into spore masses. Spore liberation from broken infected pods during the harvest process is supposed to be the main mechanism of inoculum spread, with the subsequent spread among fields increasing the soil inoculum for future peanut cropping seasons. However, we are unaware of any published [ver mas...]
dc.contributor.authorParedes, Juan Andrés
dc.contributor.authorSparks, Adam H.
dc.contributor.authorMonguillot, Joaquín Humberto
dc.contributor.authorRago, Alejandro Mario
dc.contributor.authorEdwards Molina, Juan Pablo
dc.date.accessioned2024-03-20T10:11:49Z
dc.date.available2024-03-20T10:11:49Z
dc.date.issued2024-03-18
dc.identifier.issn1983-2052
dc.identifier.otherhttps://doi.org/10.1007/s40858-024-00645-5
dc.identifier.urihttp://hdl.handle.net/20.500.12123/17118
dc.identifier.urihttps://link.springer.com/article/10.1007/s40858-024-00645-5
dc.description.abstractPeanut smut (Thecaphora frezzii) is one of the most important peanut diseases in Argentinian peanut production. This monocyclic soil-borne pathogen transforms kernels into spore masses. Spore liberation from broken infected pods during the harvest process is supposed to be the main mechanism of inoculum spread, with the subsequent spread among fields increasing the soil inoculum for future peanut cropping seasons. However, we are unaware of any published study on the role of wind (in terms of speed and direction) in how far smut spores spread. Therefore, we conducted an observational study where passive spore traps were distributed at harvest around six fields placed at 100, 200, 300, and 400 m away from each field’s centroid in four cardinal directions. Three time slices were sampled: from the beginning of harvest to 90-, 180-, and 270-minutes continuously during harvest. Wind speed and direction were recorded at each trap. A generalized additive model was fitted to describe the spore spread. Modeling the dispersal shows that the spread is influenced by wind speed and the smut severely damaged pods incidence present at the harvested field. Additionally, spore size and proportion of different smut spore types were assessed (from a single unit spore to a 5-multinuclear propagule). No statistical differences were observed in the proportion of the spore types trapped. However, fewer spores were trapped at distances farther from the harvested area. This work led us to understand a fundamental component of the peanut smut cycle and epidemiology, which is to design management strategies. For example, avoiding harvest on windy days (typically >10 km h-1) to prevent the distant spread of inoculum for subsequent seasons or predicting the risk surrounding an infected field.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpringeres_AR
dc.relationinfo:eu-repograntAgreement/INTA/2019-PD-E4-I090-001, Análisis de patosistemas en cultivos agrícolas y especies forestales. Caracterización de sus componenteses_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceTropical Plant Pathology : 1-13 (Published: 18 March 2024)es_AR
dc.subjectEpidemiologyeng
dc.subjectEpidemiologíaes_AR
dc.subjectGroundnutseng
dc.subjectCordoba (Argentina)es_AR
dc.subjectCacahuete
dc.subjectArachis hypogaea
dc.subject.otherInoculum Sourceeng
dc.subject.otherPeanut Diseaseeng
dc.subject.otherSpore Dispersaleng
dc.subject.otherSpore Trapeng
dc.subject.otherThecaphora Frezziies_AR
dc.subject.otherPeanutseng
dc.subject.otherManíes_AR
dc.titleAerial spread of smut spores during peanut harvestes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenInstituto de Patología Vegetales_AR
dc.description.filFil: Paredes, Juan Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentinaes_AR
dc.description.filFil: Paredes, Juan Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentinaes_AR
dc.description.filFil: Sparks, Adam H. Curtin University. Centre for Crop and Disease Management; Australiaes_AR
dc.description.filFil: Sparks, Adam H. Department of Primary Industries and Regional Development; Australiaes_AR
dc.description.filFil: Sparks, Adam H. University of Southern Queensland. Centre for Crop Health; Australiaes_AR
dc.description.filFil: Monguillot, Joaquín Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentinaes_AR
dc.description.filFil: Monguillot, Joaquín Humberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentinaes_AR
dc.description.filFil: Rago, Alejandro Mario. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP); Argentinaes_AR
dc.description.filFil: Rago, Alejandro Mario. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria; Argentinaes_AR
dc.description.filFil: Edwards Molina, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentinaes_AR
dc.subtypecientifico


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