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Abstract
Administration of exogenous progesterone is widely used in hormonal protocols for estrous (re)synchronization of dairy cattle without regarding pharmacological issues for dose calculation. This happens because it is difficult to estimate the metabolic level of progesterone for each individual cow before administration. In the present contribution, progesterone pharmacokinetics has been determined in lactating Holstein cows with different milk production [ver mas...]
dc.contributor.authorTurino, Ludmila Noelia
dc.contributor.authorCristaldi, Mariano Daniel
dc.contributor.authorMariano, Rodolfo Nicolás
dc.contributor.authorBoimvaser, Sonia
dc.contributor.authorScandolo Lucini, Daniel Edgardo
dc.date.accessioned2018-11-16T15:16:39Z
dc.date.available2018-11-16T15:16:39Z
dc.date.issued2014
dc.identifier.issn1695-971X
dc.identifier.issn2171-9292
dc.identifier.otherhttp://dx.doi.org/10.5424/sjar/2014122-5271
dc.identifier.urihttp://revistas.inia.es/index.php/sjar/article/view/5271/2069
dc.identifier.urihttp://hdl.handle.net/20.500.12123/3921
dc.description.abstractAdministration of exogenous progesterone is widely used in hormonal protocols for estrous (re)synchronization of dairy cattle without regarding pharmacological issues for dose calculation. This happens because it is difficult to estimate the metabolic level of progesterone for each individual cow before administration. In the present contribution, progesterone pharmacokinetics has been determined in lactating Holstein cows with different milk production yields. A Bayesian approach has been implemented to build two probabilistic progesterone pharmacokinetic models for high and low yield dairy cows. Such models are based on a one-compartment Hill structure. Posterior probabilistic models have been structurally set up and parametric probability density functions have been empirically estimated. Moreover, a global sensitivity analysis has been done to know sensitivity profile of each model. Finally, posterior probabilistic models have adequately recognized cow’s progesterone metabolic level in a validation set when Kullback-Leibler based indices were used. These results suggest that milk yield may be a good index for estimating pharmacokinetic level of progesterone.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)es_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceSpanish Journal of Agricultural Research 12 (2) : 396-404 (2014)es_AR
dc.subjectVacas Lecherases_AR
dc.subjectDairy Cowseng
dc.subjectRazas (animales)es_AR
dc.subjectBreeds (animals)eng
dc.subjectProgesteronaes_AR
dc.subjectProgesteroneeng
dc.subjectAnálisis de Probabilidades_AR
dc.subjectProbability Analysiseng
dc.subjectMétodos Estadísticoses_AR
dc.subjectStatistical Methodseng
dc.subject.otherRaza Holsteines_AR
dc.titleMetabolic level recognition of progesterone in dairy Holstein cows using probabilistic modelses_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)
dc.description.origenEEA Rafaelaes_AR
dc.description.filFil: Turino, Ludmila Noelia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentinaes_AR
dc.description.filFil: Cristaldi, Mariano Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Instituto de Desarrollo y Diseño; Argentinaes_AR
dc.description.filFil: Mariano, Rodolfo Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentinaes_AR
dc.description.filFil: Boimvaser, Sonia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentinaes_AR
dc.description.filFil: Scandolo Lucini, Daniel Edgardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela; Argentinaes_AR
dc.subtypecientifico


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