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Resumen
Stochastic models are valuable tools to describe and analyze tick population dynamic in a given area, and to evaluate different control schemes. The objective of this study was to provide a tool to predict a priori how a control scheme could affect the abundance of Rhipicephalus microplus in an area highly favourable for its development, through the building of a stochastic model of the population dynamic of this tick. The dynamic was stochastically [ver mas...]
dc.contributor.authorMiotti, Camila
dc.contributor.authorMorel, Nicolas
dc.contributor.authorSignorini Porchiett, Marcelo Lisandro
dc.contributor.authorNava, Santiago
dc.date.accessioned2024-01-10T13:56:22Z
dc.date.available2024-01-10T13:56:22Z
dc.date.issued2024-02
dc.identifier.issn0304-4017
dc.identifier.issn1873-2550
dc.identifier.otherhttps://doi.org/10.1016/j.vetpar.2023.110095
dc.identifier.urihttp://hdl.handle.net/20.500.12123/16507
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0304401723002261
dc.description.abstractStochastic models are valuable tools to describe and analyze tick population dynamic in a given area, and to evaluate different control schemes. The objective of this study was to provide a tool to predict a priori how a control scheme could affect the abundance of Rhipicephalus microplus in an area highly favourable for its development, through the building of a stochastic model of the population dynamic of this tick. The dynamic was stochastically modelled using field data of the parasitic and non-parasitic phases of R. microplus. The host susceptibility to tick infestations was also considered by including representative values of natural resistance of three different breeds (Bos indicus, B. taurus and B. indicus x B. taurus). Two different control schemes (strategic and threshold methods) using three annual applications of synthetic acaricides in different moments were evaluated. Furthermore, we have evaluated the impact of different moments of pasture spelling as a tool for tick control on the dynamic of the non-parasitic phases of R. microplus. The results showed that the model appropriately fits to field data and can simulate the annual variability in female ticks count in animals from different ecological characteristics. The model has also captured the variability that host susceptibility has on tick abundance. This fact was expressed in the different levels of tick abundance obtained for the three breeds of bovines. According to the model, strategic control applications of chemical acaricides have more efficacy than the threshold control method. The model indicates that a pasture spelling started in early or mid-summer generates a higher reduction in the number of available eggs in pastures. Analysis of the results allows to conclude that the model developed in this study was useful to predict a priori the performance of different control methods based on the strategic application of chemical acaricides or by applying pasture spelling.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.relationinfo:eu-repograntAgreement/INTA/2019-PE-E5-I109-001, Convocatoria: Estudios para el control de enfermedades subtropicales y/o transmitidas por vectores (Tristeza Bovina, Garrapatas, Miasis, Tripanosomiasis, Lengua Azul y laes_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceVeterinary Parasitology 326 : 110095. (February 2024)es_AR
dc.subjectRhipicephaluses_AR
dc.subjectGanado Bovinoes_AR
dc.subjectCattleeng
dc.subjectControl de Plagases_AR
dc.subjectPest Controleng
dc.subjectModelos Estocásticoses_AR
dc.subjectStochastic Modelseng
dc.subjectEpidemiologíaes_AR
dc.subjectEpidemiologyeng
dc.subject.otherRhipicephalus micropluses_AR
dc.subject.otherGarrapatases_AR
dc.subject.otherTickseng
dc.titleStochastic modelling to predict a priori the potential outcomes of different control schemes against the cattle tick Rhipicephalus micropluses_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.origenEEA Rafaelaes_AR
dc.description.filFil: Miotti, Camila. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentinaes_AR
dc.description.filFil: Miotti, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Morel, Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentinaes_AR
dc.description.filFil: Morel, Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Signorini Porchiett, Marcelo Lisandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea (IDICaL); Argentinaes_AR
dc.description.filFil: Signorini Porchiett, Marcelo Lisandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Nava, Santiago. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentinaes_AR
dc.description.filFil: Nava, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.subtypecientifico


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