EDP Sciences logo
Search
Menu
All issues Volume 62 / No 2 (March 2005) Ann. For. Sci., 62 2 (2005) 183-191 References
Free Access

This article has an erratum: [https://doi.org/10.1051/forest:2006095]

Issue
Ann. For. Sci.
Volume 62, Number 2, March 2005
Page(s) 183 - 191
DOI https://doi.org/10.1051/forest:2005010
References of Ann. For. Sci. 62 183-191
  1. Boldman K.G., Freeman A.E., Adjustment for heterogeneity of variances by herd production level in dairy cow and sire evaluation, J. Dairy Sci. 73 (1990) 503-512.
  2. Brotherstone S., Hill W.G., Heterogeneity of variance amongst herds for milk production, Animal Prod. 42 (1986) 297-303.
  3. Costa e Silva J., Wellendorf H., Borralho N.M.G., Prediction of breeding values and expected genetic gains in diameter growth, wood density and spiral grain from parental selection in Picea abies (L.) Karst, Silvae Genet. 49 (2000) 101-109.
  4. Costa e Silva J., Borralho N.M.G., Potts B.M., Additive and non-additive genetic parameters from clonally replicated and seedling progenies of Eucalyptus globulus, Theor. Appl. Genet. 108 (2004) 1113-1119 [CrossRef].
  5. Dieters M.J., White T.L., Hodge G.R., Genetic parameter estimates for volume from full-sib tests of slash pine (Pinus elliottii), Can. J. For. Res. 25 (1995) 1397-1408.
  6. Dodenhoff J., Swalve H.H., Heterogeneity of variances across regions of northern Germany and adjustment in genetic evaluation, Livest. Prod. Sci. 53 (1998) 225-236 [CrossRef].
  7. Garrick D.J., Van Vleck L.D., Aspects of selection for performance in several environments with heterogeneous variances, J. Animal Sci. 65 (1987) 409-421.
  8. Gianola D., On selection criteria and estimation of parameters when the variance is heterogeneous, Theor. Appl. Genet. 72 (1986) 671-677 [CrossRef].
  9. Gilmour A.R., Thompson R., Cullis B.R., Average information REML, an efficient algorithm for variance parameter estimation in linear mixed models, Biometrics 51 (1995) 1440-1450.
  10. Gilmour A.R., Cullis B.R., Welham S.J., Thompson R., ASREML Reference Manual, New South Wales Agriculture, Orange, Australia, 1999.
  11. Griffing B., Concept of general and specific combining ability in relation to diallel crossing systems, Aust. J. Biol. Sci. 9 (1956) 463-493.
  12. Henderson C.R., Sire evaluation and genetic trends, in: Proceedings of the animal breeding and genetics symposium in honour of Dr J. Lush, Champaign, Illinois, American Society of Animal Science, American Dairy Science Association, American Poultry Science Association, 1973, pp. 10-41.
  13. Henderson C.R., Applications of Linear Models in Animal Breeding, University of Guelph, Guelph, Ontario, 1984.
  14. Hill W.G., On selection among groups with heterogeneous variance, Animal prod. 39 (1984) 473-477.
  15. Hodge G.R., Volker P.W., Potts B.M., Owen J.V., A comparison of genetic information from open-pollinated and control-pollinated progeny tests in two eucalypt species, Theor. Appl. Genet. 92 (1996) 53-63.
  16. Jordan G.J., Dutkowski G.W., Potts B.M., MacDonald A.C., Tilyard P., Borralho N.M.G., Genetic variation in North Forest Products' Eucalyptus globulus ssp. globulus base population trials, CRC-SPF Technical Report 8, Hobart, Australia, 1998.
  17. Libby W.J., Jund E., Variance associated with cloning, Heredity 17 (1962) 533-540.
  18. Lopez G.A., Potts B.M., Dutkowski G.W., Apiolaza L.A., Gelid P.E., Genetic variation and inter-trait correlations in Eucalyptus globulus base population trials in Argentina, For. Genet. 9 (2002) 217-232.
  19. Lynch M., Walsh B., Genetics and Analysis of Quantitative Traits, Sinauer Associates Inc., Sunderland, MA, USA, 1998.
  20. Meuwissen T.H.E., Van der Werf J.H.J., Impact of heterogeneous within herd variances on dairy cattle breeding schemes: a simulation study, Livest. Prod. Sci. 33 (1992) 31-41.
  21. Meuwissen T.H.E., De Jong G., Engel B., Joint estimation of breeding values and heterogeneous variances of large data files, J. Dairy Sci. 79 (1996) 310-316.
  22. Mullin T.J., Park Y.S., Estimating genetic gains from alternative breeding strategies for clonal forestry, Can. J. For. Res. 22 (1992) 14-23.
  23. Patterson H.D., Thompson R., Recovery of interblock information when blocks sizes are unequal, Biometrika 31 (1971) 100-109.
  24. Stonecypher R.W., McCullough R.B., Estimates of additive and non-additive variances from a clonal diallel of Douglas-fir Pseudo-tsuga menziesii (Mirb.) Franco, in: Proceedings IUFRO Joint Meeting of Working Parties on Breeding Theory, Progeny Testing and Seed Orchards, Williamsburg, VA, USA, 13-17 October, 1986, pp. 211-227.
  25. Stram D.O., Lee J.W., Variance components testing in the longitudinal mixed effects setting, Biometrics 50 (1994) 1171-1177.
  26. Van der Werf J.H.J., Meuwissen T.H.E., De Jong G., Effects of correction for heterogeneity of variance on bias and accuracy of breeding value estimation for Dutch dairy cattle, J. Dairy Sci. 77 (1994) 3174-3184.
  27. Visscher P.M., Thompson R., Hill W.G., Estimation of genetic and environmental variances for fat yield in individual herds and an investigation into heterogeneity of variance between herds, Livest. Prod. Sci. 28 (1991) 273-290 [CrossRef].
  28. Visscher P.M., Hill W.G., Heterogeneity of variance and dairy cattle breeding, Animal Prod. 55 (1992) 321-329.
  29. Wei X., Borralho N.M.G., Genetic control of wood basic density and bark thickness and their relationships with growth traits of Eucalyptus urophylla in south east China, Silvae Genet. 46 (1997) 245-250.
  30. Wei X., Borralho N.M.G., Genetic control of growth traits of Eucalyptus urophylla S.T. Blake in south east China, Silvae Genet. 47 (1998) 158-165.
  31. Weigel K.A., Lawlor T.J., Adjustment for heterogeneous variance in genetic evaluations for conformation of United States Holsteins, J. Dairy Sci. 77 (1994) 1691-1701.
  32. White T.L., Hodge G.R., Predicting Breeding Values with Applications in Forest Tree Improvement, Kluwer Academic Publishers, Dordrecht, 1989.