Free Access
Genet. Sel. Evol.
Volume 40, Number 3, May-June 2008
Page(s) 295 - 308
Published online 10 April 2008
References of  Genet. Sel. Evol. 40 (2008) 295-308
  1. Ducrocq V., Boichard D., Barbat A., Larroque H., Implementation of an approximate multi-trait BLUP evaluation to combine production traits and functional traits into a total merit index, in: Proceedings of the 52nd Annual Meeting of the European Association for Animal Production, 26-29 August 2001, Budapest, Hungary, Paper GI.4.
  2. Guo Z., Lund M.S., Madsen P., Korsgaard I., Jensen J., Genetic parameter estimation for milk yield over multiple parities and various lengths of lactation in Danish Jerseys by random regression models, J. Dairy Sci. 85 (2002) 1596-1606 [PubMed].
  3. Joliffe I.T., Principal Component Analysis, Springer Series in Statistics, Springer-Verlag, New York, 1986.
  4. Jorjani H., International genetic evaluation for female fertility traits, Interbull Bull. 34 (2006) 57-60.
  5. Leclerc H., Fikse W.F., Ducrocq V., Principal components and factorial approaches for estimating genetic correlations in international sire evaluation, J. Dairy Sci. 88 (2005) 3306-3315 [PubMed].
  6. Leclerc H., Minéry S., Delaunay I., Druet T., Fikse W.F., Ducrocq V., Estimation of genetic correlations among countries in international dairy sire evaluations with structural models, J. Dairy Sci. 89 (2006) 1792-1803 [PubMed].
  7. Liu Z., Reinhardt F., Bünger A., Dopp L., Reents R., Application of a random regression model to genetic evaluations of test day yields and somatic cell scores in dairy cattle, Interbull Bull. 27 (2001) 159-166.
  8. Liu Z., Reinhardt F., Bünger A., Reents R., Derivation and calculation of approximate reliabilities and daughter yield deviations of a random regression test-day model for genetic evaluation of dairy cattle, J. Dairy Sci. 87 (2004) 1896-1907 [PubMed].
  9. Liu Z., Reinhardt F., Reents R., A multi-trait MACE model for international bull comparison based on daughter yield deviations, Interbull Bull. 32 (2004) 46-52.
  10. Madsen P., Jensen J., Mark T., Reduced rank estimation of (co)variance components for international evaluation using AI-REML, Interbull Bull. 25 (2000) 46-50.
  11. Mantysaari E.A., Multiple-trait across-country evaluation using singular (co)variance matrix and random regression model, Interbull Bull. 32 (2004) 70-74.
  12. Meyer K., To have your steak and eat: genetic principal component analyses of beef cattle data, in: Proceedings of the 8th World Congress on Genetics Applied to Livestock, 13-18 August 2006, Belo Horizonte, Brasil, Paper 25-03.
  13. Meyer K., Kirkpatrick M., Restricted maximum likelihood estimation of genetic principal components and smoothed covariance matrices, Genet. Sel. Evol. 37 (2005) 1-30 [CrossRef] [PubMed] [EDP Sciences].
  14. Minéry S., Fikse W.F., Ducrocq V., Application of structural model to estimate genetic correlations between countries, Interbull Bull. 31 (2003) 175-179.
  15. Norman H.D., Wright J.R., Powell R.L., VanRaden P.M., Impact of maturity rate of daughters on genetic ranking of Holstein bulls, J. Dairy Sci. 88 (2005) 3337-3345 [PubMed].
  16. Rekaya R., Weigel K.A., Gianola D., Application of a structural model for genetic covariances in international dairy sire evaluations, J. Dairy Sci. 84 (2001) 1525-1530 [PubMed].
  17. Schaeffer L.R., Multiple-country comparison of dairy sires, J. Dairy Sci. 77 (1994) 2671-2678 [PubMed].
  18. Sullivan P., Wilton J.W., 2001. Multiple-trait MACE with a variable number of traits per country, Interbull Bull. 27 (2001) 68-72.
  19. Tarres J., Liu Z., Ducrocq V., Reinhardt F., Reents R., Parameter estimation and genetic evaluation of milk production traits from France and Germany with a multi-trait MACE model, Interbull Bull. 35 (2006) 76-87.
  20. Tarres J., Liu Z., Ducrocq V., Reinhardt F., Reents R., Validation of an approximate REML algorithm for parameter estimation in multi-trait MACE model. A simulation study, J. Dairy Sci. 90 (2007) 4846-4855 [CrossRef] [PubMed].