Survival, growth and sexual maturation in Atlantic salmon exposed to infectious pancreatic necrosis: a multi-variate mixture model approach

[1]  P. Madsen,et al.  Survival, growth and sexual maturation in Atlantic salmon exposed to infectious pancreatic necrosis: a multi-variate mixture model approach , 2013, Genetics Selection Evolution.

[2]  A. Kause Genetic analysis of tolerance to infections using random regressions: a simulation study. , 2011, Genetics research.

[3]  Ø. Evensen,et al.  Quantitative genetics of disease resistance in vaccinated and unvaccinated Atlantic salmon (Salmo salar L.) , 2011, Heredity.

[4]  C. Haley,et al.  The susceptibility of Atlantic salmon fry to freshwater infectious pancreatic necrosis is largely explained by a major QTL , 2010, Heredity.

[5]  P. Madsen,et al.  A simple algorithm to estimate genetic variance in an animal threshold model using Bayesian inference , 2010, Genetics Selection Evolution.

[6]  A. Sonesson,et al.  Confirmation and fine-mapping of a major QTL for resistance to infectious pancreatic necrosis in Atlantic salmon (Salmo salar): population-level associations between markers and trait , 2009, BMC Genomics.

[7]  P. Madsen,et al.  Genetic analysis of somatic cell score in danish holsteins using a liability-normal mixture model. , 2008, Journal of dairy science.

[8]  A. Storset,et al.  Genetic analysis of resistance to infectious pancreatic necrosis in Atlantic salmon (Salmo salar L.) , 2007 .

[9]  D. Gianola,et al.  Genetic analysis of somatic cell scores in US Holsteins with a Bayesian mixture model. , 2007, Journal of dairy science.

[10]  S. Brotherstone,et al.  Analysis of the incidence of infectious pancreatic necrosis mortality in pedigreed Atlantic salmon, Salmo salar L., populations. , 2006, Journal of fish diseases.

[11]  D Gianola,et al.  A Bayesian threshold-normal mixture model for analysis of a continuous mastitis-related trait. , 2005, Journal of dairy science.

[12]  Daniel Gianola,et al.  Mixture model for inferring susceptibility to mastitis in dairy cattle: a procedure for likelihood-based inference , 2004, Genetics Selection Evolution.

[13]  D. Gianola,et al.  Detection of mastitis in dairy cattle by use of mixture models for repeated somatic cell scores: a Bayesian approach via Gibbs sampling. , 2003, Journal of dairy science.

[14]  Robin Thompson,et al.  ASREML user guide release 1.0 , 2002 .

[15]  Geoffrey J. McLachlan,et al.  Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.

[16]  Trygve Gjedrem,et al.  Genetic improvement of cold‐water fish species , 2000 .

[17]  B. Damsgård,et al.  Effects of infectious pancreatic necrosis virus (IPNV) on appetite and growth in Atlantic salmon, Salmo salar L. , 1998 .

[18]  H. Simianer,et al.  Genetic parameters and genotype × environment interaction for early sexual maturity in Atlantic salmon (Salmo salar) , 1994 .

[19]  H. Simianer,et al.  Estimates of genetic and phenotypic parameters for body weight, growth rate and sexual maturity in Atlantic salmon , 1994 .

[20]  Adrian E. Raftery,et al.  [Practical Markov Chain Monte Carlo]: Comment: One Long Run with Diagnostics: Implementation Strategies for Markov Chain Monte Carlo , 1992 .

[21]  T. Lwin,et al.  Probits of mixtures. , 1989, Biometrics.

[22]  Anil K. Bera,et al.  A test for normality of observations and regression residuals , 1987 .

[23]  B. Gjerde,et al.  Estimates of phenotypic and genetic parameters for carcass traits in Atlantic salmon and rainbow trout , 1984 .