Daniel Gianola

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Formación

  • Ingeniero Agrónomo, 1979. Universidad de la República, Uruguay.
  • M.S. (Dairy Science), 1973. University of Wisconsin-Madison
  • Ph.D. (Animal Breeding, minor in Statistics), 1975. University of Wisconsin-Madison.

Cargos

  • Profesor Titular, Department of Animal Sciences and Department of Dairy Science, University of Wisconsin-Madison. 1991-actualidad.

Áreas de interés en investigación

  • Mejoramiento genético animal.
  • Teoría estadística bayesiana.
  • Desarrollo de Metodología Estadística

Cursos dictados en la EPG

  • Análisis bayesiano en mejoramiento animal: selección genómica (director)

Publicaciones (últimos 5 años)

  • C.S. Wang, J.J. Rutledge and D. Gianola. 1993. Marginal inferences about variance components in a mixed linear model using Gibbs sampling. Genetics, Selection, Evolution 25: 41-62.
  • K. A. Weigel and D. Gianola. 1993. A computationally simple Bayesian method for estimation of heterogeneous within-herd phenotypic variances. J. Dairy Sci. 76:1455-1465.
  • K. A. Weigel, D. Gianola, B. S. Yandell and J. F. Keown. 1993. Identification of factors causing heterogeneous within-herd variance components using a structural model for variances. J. Dairy Sci. 76:1466-1478.
  • M. Perez-Enciso, R.J. Tempelman and D. Gianola. 1993. A comparison between linear and Poisson mixed models for litter size in Iberian pigs. Livestock Production Science 35: 303-316.
  • C. A. P. Matos, C. Ritter, D. Gianola and D. L. Thomas. 1993. Bayesian analysis of lamb survival using Monte Carlo numerical integration with importance sampling. J. Anim. Sci. 71: 2047-2054.
  • R. J. C. Cantet, D. Gianola, I. Misztal and R. L. Fernando. 1993. Estimates of dispersion parameters and of genetic and environmental trends for weaning weight in Angus cattle using a maternal animal model with genetic grouping. Livestock Production Science 34: 203-212.
  • R. J. Tempelman and D. Gianola. 1993. Marginal maximum likelihood estimation of variance components in Poisson mixed models using Laplace integration. Genetics, Selection, Evolution 25: 305-319.
  • Olesen, M.Perez-Enciso, D. Gianola and D. L. Thomas. 1994. A comparison of normal and nonnormal mixed models for number of lambs born in Norwegian sheep. Journal of Animal Science 72: 1166-1173.
  • C. S. Wang, J. J. Rutledge and D. Gianola. 1994. Bayesian analysis of mixed linear models via Gibbs sampling with an application to litter size in Iberian pigs. Genetics, Selection, Evolution 26: 91-115.
  • R. J. Tempelman and D. Gianola. 1994. Assessment of a Poisson animal model for embryo yield in a simulated multiple ovulation-embryo transfer scheme. Genetics, Selection, Evolution 26: 293-290.
  • C.S. Wang, D. Gianola, D.A. Sorensen, J. Jensen, A. Christensen and J.J. Rutledge. 1994. Response to selection for litter size in Danish Landrace pigs: a Bayesian analysis. Theoretical and Applied Genetics 88: 220-230.
  • J. Jensen, C.S. Wang, D.A. Sorensen and D. Gianola. 1994 Bayesian inference on variance and covariance components for traits influenced by maternal and direct genetic effects using the Gibbs sampler. Acta Agriculturae Scandinavica 44: 193-201.
  • D. Sorensen, C.S. Wang, J. Jensen and D. Gianola. 1994. Bayesian analysis of genetic change due to selection using Gibbs sampling. Genetics, Selection, Evolution 26: 333-360.
  • D. Gianola, C. S. Wang, J. L. Foulley and R. L. Fernando. 1994. Bayesian inference about heritability in a linear model with additive genetic effects. Revista Portuguesa de Zootecnia 1: 63-86.
  • D. Sorensen, S. Andersen, D. Gianola and I. Korsgaard. 1995. Bayesian inference in threshold models using Gibbs sampling. Genetics, Selection, Evolution 27: 229-249.
  • D. Gianola. 1995. Discussion of “Heterogeneous variances in Gaussian linear mixed models”, by J. L. Foulley and R. L. Quaas. Genetics, Selection, Evolution 27: 227-228
  • R.J. Tempelman and D. Gianola. 1996. A mixed effects model for overdispersed count data in animal breeding. Biometrics 52: 265-279.
  • J. L. Foulley and D. Gianola. 1996. Statistical analysis of ordered categorical data via a structural heteroskedastic threshold model. Genetics, Selection, Evolution 28: 249-273.
  • C.A.P. Matos, D.L. Thomas, D. Gianola, R.J. Tempelman and L.D. Young. 1997. Genetic analysis of discrete reproductive traits in sheep using linear and nonlinear models. I. Estimation of genetic parameters. Journal of Animal Science 75: 76-87.
  • C.A.P. Matos , D.L. Thomas, D. Gianola, M. Perez-Enciso and L.D. Young. 1997. Genetic analysis of discrete reproductive traits in sheep using linear and nonlinear models. II. Goodness of fit and predictive ability. Journal of Animal Science 75: 88-94.
  • S. L. Rodriguez-Zas, D. Gianola and G. E. Shook. 1997. Factors affecting liability to intramammary infection and mastitis: an approximate Bayesian analysis. Journal of Dairy Science 80: 75-85.
  • Próximas defensas

    • 01/03/2021

      15/03 Defensa de tesis Juan Mattera

    • 11/02/2021

      12/03/21 Defensa de tesis Agostina Torres

    • 05/02/2021

      03/03/2021 Defensa de tesis Maria Eugenia Abdala

    • 05/02/2021

      02/03 Defensa de Trabajo Final de Sofia Ercilia Corina.

    • 04/02/2021

      23/02. Defensa de Trabajo Final de Daniel Ezequiel Garcia.

  • Cursos en breve

    • 03/03/2021

      Ecología de poblaciones vegetales

    • 01/03/2021

      Impacto de la actividad agropecuaria en aguas y suelos

    • 25/02/2021

      Fertilidad de suelos y uso de fertilizantes

    • 25/02/2021

      Ecofisiología de semillas

    • 03/02/2021

      Bases moleculares para la producción animal

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