Metabolic level recognition of progesterone in dairy Holstein cows using probabilistic models

Authors
Turino, Ludmila Noelia; Cristaldi, Mariano Daniel; Mariano, Rodolfo Nicolás; Boimvaser, Sonia; Scandolo Lucini, Daniel Edgardo
Publication Year
2014
Language
English
Format
article
Status
Published version
Description
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 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.
EEA Rafaela
Fil: 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; Argentina
Fil: Cristaldi, Mariano Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Instituto de Desarrollo y Diseño; Argentina
Fil: 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; Argentina
Fil: 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; Argentina
Fil: Scandolo Lucini, Daniel Edgardo. INTA. Estación Experimental Agropecuaria Rafaela; Argentina
Source
Spanish Journal of Agricultural Research 12 (2) : 396-404 (2014)
Subject
Vacas Lecheras
Razas (animales)
Progesterona
Análisis de Probabilidad
Métodos Estadísticos
Dairy Cows
Breeds (animals)
Progesterone
Probability Analysis
Statistical Methods
Raza Holstein
Access level
Open access
License
Repository
INTA Digital (INTA)
Institution
Instituto Nacional de Tecnología Agropecuaria
OAI Identifier
oai:localhost:20.500.12123/3921