Albuquerque, L.G. and Meyer, K. 2001. Estimates of covariance functions for growth from birth to 630 days of age in Nelore cattle. Journal of Animal Science 79:2776–2789.
Banos, G., Schaeffer, L.R. and Burnside, E.B. 1991. Genetic relationships and linear model comparisons between United States and Canadian Ayrshire and Jersey bull populations. Journal of Dairy Science 74:1060–1068.
Belkhir, K., Borsa, P., Chikhi, L., Raufaste, N. and Bonhomme, F. 1996–2004 GENETIX 4.05, logiciel sous Windows TM pour la génétique des populations. Laboratoire Génome, Populations, Interactions, CNRS UMR 5000, Université de Montpellier II, Montpellier (France).
Calus, P.M. 2006. Estimation of genotype × environment interaction for yield, health and fertility in dairy cattle. Ph.D. thesis, Animal Breeding and Genetics, Wageningen University, Wageningen, The Netherlands.
Cavalli-Sforza, L.L., Menozzi, P. and Piazza, A. 1994. The history and geography of human genes. Princeton University Press, Princeton, New Jersey, USA.
Chagunda, M.G.G. 2000. Genetic evaluation of the performance of Holstein Friesian cattle on large-scale dairy farms in Malawi. PhD thesis, Georg-August-University, Göttingen, Germany.
Chakraborty, R. 1985. Gene identity in racial hybrids and estimation of admixture rates. In: Neel, J.V. and Ahuja, Y. (eds), Genetic microdifferentiation in man and other animals. Indian Anthropological Association, Delhi, India. pp. 171–180.
Deka R.L., Shriver, M.D., Yu, L.M. and Decroo, S. 1995. Population genetics of dinucleotide (dC-dA)n.(dG-dT)n polymorphisms in world populations. American Journal of Human Genetics 56:461–474.
Dickerson, G.E. 1962. Implications of genetic–environmental interaction in animal breeding. Animal Production 4:47–63.
Dickerson, G.E. 1973. Inbreeding and heterosis in animals. In: Proceedings of the animal breeding and genetics symposium in honour of Dr J.L. Lush. American Society of Animal Science and Dairy Science Association, Champaign, Illinois, USA. pp. 54–77.
Dieringer, D. and Schlštterer, C. 2003. Microsatellite analyser (MSA): a platform independent analysis tool for large microsatellite data sets. Molecular Ecology Notes 3(1): 167–169.
Ducrocq, V. 1997. Survival analysis, a statistical tool for longevity data. In: 48th Annual meeting of the European Association of Animal Production. Vienna, Austria. pp. 1–14,
Excoffier, L., Smouse, P. and Quattro, J. 1992. Analysis of molecular variance inferred from metric distances among DNA haplotypes: Application to human mitochondrial DNA restriction data. Genetics 131:479–491.
Falconer, D.S. and Mackay, T.F.C. 1996. Introduction to quantitative genetics. 4th Edition. Longman Publishing Group, London, UK. 160 pp.
Fernando R. L. Billingsley, R.D. and Gianola D. 1983. Effects of method of scaling on heritability estimates and sire evaluations for frame size at weaning in angus cattle Journal of Animal Science 56:1047-1056
Grisart, B., W. Coppieters, F. Farnir, L. Karim, C. Ford, P. Berzi, N. Cambisano, M. Mni, S. Reid, P. Simon, R. Spelman, M. Georges, and R. Snell. 2002. Positional candidate cloning of a QTL in dairy cattle: Identification of a missense mutation in the bovine DGAT1 gene with major effect on milk yield and composition. Genome Res. 12:222–231
Goddard, M. E., and B. J. Hayes. 2007. Genomic selection. Journal of Animal Breeding and Genetics 124:323–330
Goldstein, D.B., Ruiz Linares, A., Cavalli-Sforza, L.L. and Feldman, M.W. 1995. An evaluation of genetic distances for use with microsatellite loci. Genetics 139:463–471.
Goudet J. 1995. Fstat version 1.2: a computer program to calculate Fstatistics. Journal of Heredity 86(6):485–486.
Hammond, H.A., Jin, L., Zhong, Y., Caskey, C.T. and Chakraborty, R. 1994. Evaluation of 13 short tandem repeats loci for use in personal identification applications. American Journal of Human Genetics 55:175–189.
Hartl D.L., Clark A.G. 1997. Principles of population genetics. Sinauer Associates, Sunderland, MA
Harville, D.A. 1977. Maximum likelihood approaches to variance component estimation and to related problems. Journal of American Statistical Association 72:320–338.
Harville, D.A. and Mee, R.W. 1984. A mixed model procedure for analysing ordered categorical data. Biometrics 40:393–408.
Henderson, C.R. 1975. Best linear unbiased estimation and prediction under selection model. Biometrics 31:423–447.
Henderson, C.R. 1984. Applications of linear models in animal breeding. University of Guelph, Guelph, Canada.
Henderson, C.R. 1986. Recent developments in variance and covariance estimation. Journal of Animal Science 63:208–216.
Henderson, C.R. 1988. Theoretical bias and computational methods for a number of different animal models. Journal of Dairy Science 71:1–16.
Hill, W.G. and Meyer, K. 1988. Developments in methods for breeding value and parameter estimation in livestock. Occasional Publication. British Society of Animal Production 12:81–95.
Huisman, A.E., Veerkamp, R.F. and van Arendonk, J.A.M. 2002. Genetic parameters for various random regression models to describe the weight data of pigs. Journal of Animal Science 80:575–582.
Jansen, G.B. 1990. Large-scale application of animal models for genetic evaluation of dairy cattle. Proceedings of the 4th World Congress on Genetics Applied to Livestock Production, Edinburgh, Scotland. Volume 14:58–61.
Kotzé A. and Muller, G.H. 1994. Genetic relationship in South African cattle breeds. In: Proceedings of the 5th world congress on genetics applied to livestock production, Guelph, Canada. University of Guelph, Guelph, Ontario, Canada. Volume 21: 413–416.
Küttner, K. and Nitter, G. 1997. Effects of mating structure in purebred populations on the estimation of crossbreeding parameters. Journal of Animal Breeding and Genetics 114:275–288.
Lewis, R.M., and Brotherstone, S. 2002. A genetic evaluation of growth in sheep using random regression techniques. Animal Science 74:63–70.
Marshall, K., Quiros-Campos, C., Van Der Werf, J. H. J. & Kinghorn, B. 2009. Marker-based selection within small-holder productions systems in developing countries. Livestock Production Science, in print.
Mathur, P.K. and Horst, P. 1994. Methods for evaluating genotype-environment interactions illustrated by laying hens. Journal of Breeding and Genetics 111(4):265–288.
Meijering A. and Gianola D. 1985. Observations on sire evaluation with categorical data using heteroscedastic mixed linear models. Journal of Dairy Science 68:1226--1232
Meyer, K. 1987. Estimates of variances due to sire × herd interactions and environmental covariances between paternal half-sibs for first lactation dairy Production. Livestock Production Science 17:95–115.
Meyer, K. 1989. Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm. Genetic Selection Evolution 21:317–340.
Meyer, K. 1998. Modelling `repeated' records: Covariance functions and random regression models to analyse animal breeding data. Proceedings of the 6th World Congress on Genetics Applied to Livestock Production 25:517–520. University of New England, Armidale, Australia.
Meyer, K. and Hill, W.G. 1997. Estimation of genetic and phenotypic covariance functions for logitudonal or 'repeated' records by restricted maximum likelihood. Livestock Production Science 47:185–200.
Morrison, D.F. 1976. Multivariate statistical methods. McGraw-Hill, New York, USA.
Mrode, R.A. 2005. Linear models for the prediction of animal breeding values. 2nd Edition. CAB International, London, UK.
Nei, M. 1972 Genetic distances between populations. The American Naturalist.106, 282-292.
Nei, M. 1987. Molecular evolutionary genetics. Columbia University Press, New York, USA.
Nobre, P.R.C., Misztal, I., Tsuruta, S., Bertrand, J.K., Silva, L.O.C. and Lopes, P.S. 2003. Genetic evaluation of growth in Nellore cattle by multiple- trait and random regression models. Journal of Animal Science 81:927–932.
Ojango, J.M.K and Pollot, G.E. 2002. The relationship between Holstein bull breeding values for milk yield derived in both the UK and Kenya. Livestock Production Science 74:1–12.
Okomo, M.A. 1997. Characterisation of the genetic diversity of East African cattle breeds using microsatellite DNA markers. MSc thesis, University of Nairobi, Kenya.
Ota, T. 1993. DISPAN: Genetic distance and phylogenetic analysis. Pennsylvania State University, Pennsylvania, USA.
Park, S.D.E. 2001. Trypanotolerance in West African cattle and the population genetic effects of selection. PhD thesis, University of Dublin, Dublin, Ireland.
Patterson, H.D. and Thompson, R. 1971. Recovery of inter-block information when block sizes are unequal. Biometrika 58:545–554.
Piry S, Alapetite A, Cornuet, J.-M., Paetkau D, Baudouin, L., Estoup, A. 2004. GeneClass2: A Software for Genetic Assignment and First-Generation Migrant Detection. Journal of Heredity 95:536–539.
Pritchard, J. K., Stephens, M. and Donnelly, P. 2000. Inference of population structure using multilocus genotype data. Genetics, 155:945–959.
Ptak, E. and Schaeffer, L.R. 1993. Use of test day yields for genetic evaluation of dairy sires and cows. Livestock Production Science 34:23–34.
Raymond, M. and Rousset, F. 1995a. An exact test for population differentiation. Evolution 49:1280–1283.
Raymond, M. and Rousset, F. 1995b. GENEPOP-population genetics software for exact tests and ecumenicism. Journal of Heredity 86:248–249.
Saitou, N. and Nei, M. 1987. The neighbour-joining method: A new method for reconstructing phylogenetic trees. Molecular Biology and Evolution 4:406–425.
Schaeffer, L.R. 1991. Class notes-Linear models and variance component estimation. University of Guelph, Guelph, Canada.
Schaeffer, L.R. 2004. Application of random regression models in animal breeding. Livestock Production Science 86: 35–45.
Searle, S.R. 1971. Linear models. John Wiley and Sons, Inc., New York, New York, USA.
Snedecor, G.W. and Cochran, W.G. 1980. Statistical methods. 7th Ed. Iowa State University Press, Iowa, USA.
Stanton, T.L., Jones, L.R., Everett, R.W. and Kachman, S.D. 1992. Estimating milk, fat, and protein lactation curves with a test day model. Journal of Dairy Science 75:1691–1700.
Strandberg, E. 2006. Analysis of genotype by environment interaction using random regression models. In: Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, August 13–18, 2006, Belo Horizonte, MG, Brazil.
Swalve, H.H. 1998. Use of test day records for genetic evaluation. In: Proceedings of the 6th world congress on genetics applied to livestock production. University of New England, Armidale, Australia. pp. 295–301.
Swan, A.A. and Kinghorn, B.P. 1992. Evaluation and exploitation of crossbreeding in dairy cattle. Journal of Dairy Science 75:624–639.
Takezaki, N. and Nei, M. 1996. Genetic distances and reconstruction of phylogenetic trees from microsatellite DNA. Genetics 144:189–399.
van der Werf, J.H.J., Goddard, M.E. and Meyer, K. 1998. The use of covariance functions and random regressions for genetic evaluation of milk production based on test day records. Journal of Dairy Science 81: 3300–3308.
van Raden, P.M. 1997. Lactation yields and accuracies computed from test day yields and (co)variances by best prediction. Journal of Dairy Science 80:3015–3022.
Wiggans, G.R. and Goddard, M.E. 1996. A computationally feasible test day model with separate first and later lactation genetic effects. Proceedings of the New Zealand Society of Animal Production 56:19–21.