EDP Sciences logo
Search
Menu
All issues Volume 39 / No 1 (January-February 2007) Genet. Sel. Evol., 39 1 (2007) 39-53 References
Free Access
Issue
Genet. Sel. Evol.
Volume 39, Number 1, January-February 2007
Page(s) 39 - 53
DOI https://doi.org/10.1051/gse:2006030
References of  Genet. Sel. Evol. 39 (2007) 39-53
  1. BIF, Beef Improvement Federation Guidelines, North Carolina University Press, North Carolina, 1986.
  2. Casellas J., Piedrafita J., Correction factors for weight productive traits up to weaning in the Bruna dels Pirineus beef cattle breed, Anim. Res. 51 (2002) 43-50 [EDP Sciences] [CrossRef].
  3. Foulley J.L., Hanocq E., Boichard D., A criterion for measuring the degree of connectedness in linear models of genetic evaluation, Genet. Sel. Evol. 24 (1992) 315-330.
  4. García-Cortés L.A., Cabrillo C., Moreno C., Varona L., Hypothesis testing for the genetical background of quantitative traits, Genet. Sel. Evol. 33 (2001) 3-16 [EDP Sciences] [CrossRef] [PubMed].
  5. Gelfand A., Smith A.F.M., Sampling based approaches to calculating marginal densities, J. Am. Stat. Assoc. 85 (1990) 398-409.
  6. Geyer C.J., Practical Markov chain Monte Carlo, Stat. Sci. 7 (1992) 473-483.
  7. Gilks W.R., Richardson S., Spiegelhalter D.J., Markov chain Monte Carlo in practice, Chapman & Hall, London, UK, 1996.
  8. Golden B.L., Bourdon R.M., Snelling W.M., Additive genetic groups for animals evaluated in more than one Breed Association National Cattle Evaluation, J. Anim. Sci. 72 (1994) 2559-2567 [PubMed].
  9. Green P.J., Reversible jump Markov chain Monte Carlo computation and Bayesian model determination, Biometrika 82 (1995) 711-732 [MathSciNet].
  10. Hastings W.K., Monte Carlo sampling methods using Markov chains and their applications, Biometrika 57 (1970) 97-109.
  11. Henderson C.R., Sire evaluation and genetic trends, in: Proc. Anim. Breed. Genet. Symp. in Honor of Dr. Jay L. Lush, ASAS and ADSA, Champaign, IL, USA, 1973.
  12. Henderson C.R., Best linear unbiased estimation and prediction under a selection model, Biometrics 31 (1975) 423-435 [PubMed].
  13. Jeffreys H., Theory of probability, 3rd edn., Clarendon Press, Oxford, UK, 1984.
  14. Kass R.E., Raftery A.E., Bayes factors, J. Am. Stat. Assoc. 90 (1995) 773-795.
  15. Kennedy B.M., Moxley J.E., Comparison of genetic group and relationship methods for mixed model sire evaluation, J. Dairy Sci. 58 (1975) 1507.
  16. Lavine M., Schervish M.J., Bayes factors: What they are and what they are not, Am. Stat. 53 (1998) 119-122.
  17. Mood A.M., Graybill F., Boes D.C., Introduction to the theory of statistics, 3rd edn., McGraw Hill Book Co., NY, USA, 1974.
  18. Newton M.A., Raftery A.E., Approximate Bayesian inference with the weighted likelihood bootstrap, J. R. Stat. Soc. B. 56 (1994) 3-48.
  19. Peskovicová D., Groeneveld E., Wolf J., Effect of genetic groups on the efficienty of selection in pigs, Livest. Prod. Sci. 88 (2004) 213-222 [CrossRef].
  20. Phocas F., Laloë D., Should genetic groups be fitted in BLUP evaluation? Practical answer to French AI beef sire evaluation, Genet. Sel. Evol. 36 (2004) 325-345 [EDP Sciences] [CrossRef] [PubMed].
  21. Press W.H., Flannery B.P., Teulosky S.A., Vetterling W.T., Numerical Recipes. The art of scientific computing, Cambridge University Press, Cambrigde, UK, 1986.
  22. Quaas R.L., Additive genetic model with groups and relationships, J. Dairy Sci. 71 (1988) 1338-1345.
  23. Quintanilla R., Varona L., Pujol M.R., Piedrafita J., Maternal animal model with correlation between maternal environmental effects of related dams, J. Anim. Sci. 77 (1999) 2904-2917 [PubMed].
  24. Raftery A.E., Lewis S.M., Implementing MCMC, in: Gilks W.R., Richardson S., Spiegelhalter D.J. (Eds.), Markov Chain Monte Carlo in Practice, Chapman & Hall, London, UK, 1996, pp. 115-130.
  25. Stram D.O., Lee J.W., Variance components testing in the longitudinal mixed effect model, Biometrics 50 (1994) 1171-1177 [PubMed].
  26. Sullivan P.G., Schaeffer L.R., Fixed versus random genetic groups, in: Proc. 6th World Congr. Genet. Appl. to Lives. Prod., 1994, Guelph, Canada, pp. 483-486.
  27. Tarrés J., Puig P., Ducrocq V., Piedrafita J., Factors influencing length of productive life and replacement rates in the Bruna dels Pirineus beef breed, Anim. Sci. 78 (2004) 13-22.
  28. Varona L., García-Cortés L.A., Pérez-Enciso M., Bayes factor for detection of Quantitative Trait Loci, Genet. Sel. Evol. 33 (2001) 133-152 [EDP Sciences] [CrossRef] [PubMed].
  29. Varona L., Gómez-Raya L., Rauw W.M., Clop A., Ovilo C., Noguera J.L., Derivation of a Bayes factor to distinguish between linked or pleiotropic quantitative trait loci, Genetics 166 (2004) 1025-1035 [CrossRef] [PubMed].
  30. Varona L., Casellas J., Piedrafita J., Sánchez A., Garcia-Casado P., Arqué M., Noguera J.L., Bayes factor analysis for the genetic background of physiological and vitality variables of F2 Iberian $\times $ Meishan newborn piglets, J. Anim. Sci. 83 (2005) 334-339 [PubMed].
  31. Villalba D., Casasús I., Sanz A., Estany J., Revilla R., Preweaning growth curves in Brown Swiss and Pirenaica calves with emphasis on individual variability, J. Anim. Sci. 78 (2000) 1132-1140 [PubMed].
  32. Westell R.A., Quaas R.L., Van Vleck L.D., Genetic groups in an animal model, J. Dairy Sci. 71 (1988) 1310-1318.