Free Access
Genet. Sel. Evol.
Volume 37, Number 3, May-June 2005
Page(s) 273 - 289
References of  Genet. Sel. Evol. 37 (2005) 273-289
  1. Bacon L.D., Influence of the MHC on disease and productivity, Poult. Sci. 66 (1997) 802-811.
  2. Bijma P., Woolliams J.A., Prediction of rates of inbreeding in populations selected on best linear unbiased prediction of breeding value, Genetics 156 (2000) 361-373.
  3. Bijma P., van Arendonk J.A.M., Woolliams J.A., A general procedure to predict rates of inbreeding in populations undergoing mass selection, Genetics 154 (2000) 1865-1877.
  4. Boichard D., Maignel L., Verrier E., The value of using probabilities of gene origin to measure genetic variability in a population, Genet. Sel. Evol. 29 (1997) 5-23.
  5. Bordas A., Tixier-Boichard M., Mérat P., Direct and correlated responses to divergent selection for residual food intake in Rhode Island Red laying hens, Br. Poult. Sci. 33 (1992) 741-754.
  6. Bovenhuis H., Bralten H., Nieuwland M.G.B., Parmentier H.K., Genetic parameters for antibody response of chickens to sheep red blood cells on a selection experiment, Poult. Sci. 81 (2002) 309-315.
  7. Bulmer M.G., The effect of selection on genetic variability, Am. Nat. 105 (1971) 201-211 [CrossRef].
  8. Bumstead N., Millard B., Barrow P., Cook J.K.A., Genetic basis of disease resistance in chickens, in: Owen J.B., Axford R.F.E. (Eds.), Breeding for disease resistance in farm animals, CAB International, Melksham, UK, 1991, pp. 10-23.
  9. Caballero A., Developments in prediction of effective population size, Heredity 73 (1994) 657-679.
  10. Clark A.G., Szumski F.M., Bell K.A., Keith L.E., Houtz S., Merriwether D.A., Direct and correlated responses to artificial selection on lipid and glycogen contents in Drosophila melanogaster, Genet. Res., 56 (1990) 49-56.
  11. Colleau J.J., Moureaux S., Briend M., Bechu J., A method for the dynamic management of genetic variability in dairy cattle, Genet. Sel. Evol. 36 (2004) 373-394 [EDP Sciences] [CrossRef].
  12. Falconer D.S., Mackay T.F.C., Introduction to quantitative genetics, 3${\rm rd}$ edn., Longman Scientific & Technical, Essex, UK, 1996.
  13. Huby M., Griffon L., Moureaux S., de Rochambeau H., Danchin-Burge C., Verrier E., Genetic variability of six French meat sheep breeds in relation to their genetic management, Genet. Sel. Evol. 35 (2003) 637-655 [EDP Sciences] [CrossRef].
  14. Kaufman J.F., Lamont S.J., The chicken major histocompatibility complex, in: Schook L.B., Lamont S.J. (Eds.), The major histocompatibility complex in domestic animal species, CRC Press, Boca Raton, Florida, 1996, pp. 35-64.
  15. Laval G., Chevalet C., Pitel F., Amigues Y., Bordas A., Coville J.L., Tixier-Boichard M., Modélisation et évaluation expérimentale de la diversité neutre ou adaptative dans le cadre de lignées sélectionnées chez la poule, in: Proceedings of 4$^{\rm e}$ Colloque national du BRG, 14-16 octobre 2002, La Châtre, France, Ed. BRG, Paris.
  16. Martinez V., Bunger L., Hill WG., Analysis of response to 20 generations of selection for body composition in mice: fit to infinitesimal model assumptions, Genet. Sel. Evol. 32 (2000) 3-21 [EDP Sciences] [CrossRef].
  17. Meuwissen T.H.E., Maximizing the response of selection with a predefined rate of inbreeding, J. Anim. Sci. 75 (1997) 934-940.
  18. Moureaux S., Verrier E., Ricard A., Mériaux J.C., Genetic variability within French race and riding-horse breeds from genealogical data and blood marker polymorphism, Genet. Sel. Evol. 28 (1996) 83-102.
  19. Ollivier L., On the use of animal models in the analysis of selection experiments, Genet. Sel. Evol. 31 (1999) 135-148.
  20. Parmentier H.K., Niewland M.G., Rijke E., De Vries Reilingh G., Schrama J.W., Different response to vaccines and divergent body weight of chicken lines selected for high and low humoral responsiveness to sheep red blood cells, Avian. Dis. 40 (1996) 634-644.
  21. Pinard M.-H., van Arendonk J.A.M., Nieuland M.G.B, van der Zipp A.J., Divergent selection for immune responsiveness in chickens: estimation of realized heritability with an animal model, J. Anim. Sci. 70 (1992) 2986-2993.
  22. Pinard-van der Laan M.-H., Immune modulation: the genetic approach, Vet. Immunol. Immunopathol. 87 (2002) 199-205.
  23. Robertson A., Inbreeding in selection programs, Genet. Res. 2 (1961) 189-194.
  24. Sanchez L., Woolliams J.A., Impact of nonrandom mating on genetic variance and gene flow in populations with mass selection, Genetics 166 (2004) 527-535 [CrossRef].
  25. Santiago E., Caballero A., Effective size of populations under selection, Genetics 139 (1995) 1013-1030.
  26. Van Raden P.M., Accounting for inbreeding and crossbreeding in genetic evaluation for large populations, J. Dairy Sci. 75 (1992) 3136-3144.
  27. Verrier E., Colleau J.J., Foulley J.L., Predicting cumulated response to directional selection in finite panmictic populations, Theor. Appl. Genet. 79 (1990) 833-840.
  28. Verrier E., Colleau J.J., Foulley J.L., Long term effects of selection based on the animal model BLUP in a finite population, Theor. Appl. Genet. 87 (1993) 446-454.
  29. Woolliams J.A., Bijma P., Predicted rated of inbreeding in population undergoing selection, Genetics 154 (2000) 1851-1864.
  30. Woolliams J.A., Mäntysaari E.A., Genetic contributions of Finnish Ayrshire bulls over four generations, Anim. Sci. 61 (1995) 177-187.
  31. Woolliams J.A., Wray N.R., Thompson R., Prediction of long-term contributions and inbreeding in populations undergoing mass selection, Genet. Res. Camb. 62 (1993) 231-242.
  32. Wray N.R., Thompson R., Prediction of rates of inbreeding in selected populations, Genet. Res. Camb. 55 (1990) 41-54.
  33. Wright S., Evolution and the genetics of population, in: The theory of gene frequencies, Vol. 2, Univ. of Chicago, Chicago, 1969.