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Genetic parameters of milk, fat, and protein yields in the first three lactations, using an animal model and restricted maximum likelihood*
L.G. AlbuquerqueI,II; J.F. KeownII; L.D. Van Vleck III
IDepartamento de Melhoramento Genético Animal, Faculdade de Ciências Agrárias e Veterinárias de Jaboticabal (FCAVJ), Universidade Estadual Paulista (UNESP), 14870-000 Jaboticabal, SP, Brasil
IIDepartment of Animal Science, University of Nebraska, Lincoln, NE 68583-0908, USA
IIIRoman L. Hruska US Meat Animal Research Center, ARS, USDA A218
Animal Sciences, University of Nebraska, Lincoln, NE 68583-0908, USA
ABSTRACT
Milk, fat, and protein yields of Holstein cows from the States of New York and California in the United States were used to estimate (co)variances among yields in the first three lactations, using an animal model and a derivative-free restricted maximum likelihood (REML) algorithm, and to verify if yields in different lactations are the same trait. The data were split in 20 samples, 10 from each state, with means of 5463 and 5543 cows per sample from California and New York. Mean heritability estimates for milk, fat, and protein yields for California data were, respectively, 0.34, 0.35, and 0.40 for first; 0.31, 0.33, and 0.39 for second; and 0.28, 0.31, and 0.37 for third lactations. For New York data, estimates were 0.35, 0.40, and 0.34 for first; 0.34, 0.44, and 0.38 for second; and 0.32, 0.43, and 0.38 for third lactations. Means of estimates of genetic correlations between first and second, first and third, and second and third lactations for California data were 0.86, 0.77, and 0.96 for milk; 0.89, 0.84, and 0.97 for fat; and 0.90, 0.84, and 0.97 for protein yields. Mean estimates for New York data were 0.87, 0.81, and 0.97 for milk; 0.91, 0.86, and 0.98 for fat; and 0.88, 0.82, and 0.98 for protein yields. Environmental correlations varied from 0.30 to 0.50 and were larger between second and third lactations. Phenotypic correlations were similar for both states and varied from 0.52 to 0.66 for milk, fat and protein yields. These estimates are consistent with previous estimates obtained with animal models. Yields in different lactations are not statistically the same trait but for selection programs such yields can be modelled as the same trait because of the high genetic correlations.
Keywords: genetic parameters; milk; fat; protein; lactations; animal model; maximum likelihood.
REFERENCES
Banos, G. and Shook, G.E. (1990). Genotype by environment interaction and genetic correlations among parities for somatic cell count and milk yield. J. Dairy Sci. 73: 2563-2573.
Boldman, K.G. and Freeman, A.E. (1990). Adjustment for heterogeneity of variances by herd production level in dairy cow and sire evaluation. J. Dairy Sci. 73: 503-512.
Boldman, K.G. and Van Vleck, L.D. (1991). Derivative-free restricted maximum likelihood estimation in animal models with a sparse matrix solver. J. Dairy Sci. 74: 4337-4343.
Boldman, K.G., Kriese, L.A., Van Vleck, L.D. and Kachman, S.D. (1993). A Manual for Use of MTDFREML. USDA-ARS. Clay Center, NE, pp. 120.
Cassell, B.G. and McDaniel, B.T. (1983). Use of later records in dairy sire evaluation: a review. J. Dairy Sci. 66: 1-10.
DeVeer, J.C. and Van Vleck, L.D. (1987). Genetic parameters for first lactation milk yields at three levels of herd production. J. Dairy Sci. 70: 1434-1441.
Dobson, A.J. (1990). An Introduction to Generalized Linear Models. Chapman and Hall, New York, pp. 57.
Dong, M.C. and Van Vleck, L.D. (1989). Correlations among first and second lactation milk yield and calving interval. J. Dairy Sci. 72: 1933-1936.
Dong, M.C., Van Vleck, L.D. and Wiggans, G.R. (1988). Effect of relationships on estimation of variance components with an animal model and restricted maximum likelihood. J. Dairy Sci. 71: 3047-3052.
Graser, H.-U., Smith, S.P. and Tier, B. (1987). A derivative-free approach for estimating variance components in animal model by restricted maximum likelihood. J. Anim. Sci. 64: 1362-1370.
Maijala, K. and Hanna, M. (1974). Reliable phenotypic and genetic parameters in dairy cattle. In: Proceedings of the 1st World Congress on Genetics Applied to Livestock Production. Vol.1. Madrid, Spain, pp. 541-563.
Meyer, K. (1983). Scope for evaluating dairy sires using first and second lactation records. Livest. Prod. Sci. 10: 531-553.
Meyer, K. (1984). Estimates of genetic parameters for milk and fat yield for the first three lactations in British Friesian cows. Anim. Prod. 38: 313-322.
Meyer, K. (1985). Genetic parameters for dairy production of Australian Black and White cows. Livest. Prod. Sci. 12: 205-219.
Misztal, I., Lawlor, T.J., Short, T.H. and VanRaden, P.M. (1992). Multiple trait estimation of variance components of yield and type traits using an animal model. J. Dairy Sci. 75: 544-551.
Robertson, A. (1959). The sampling variance of the genetic correlation coefficient. Biometrics 15: 469-485.
Rothschild, M.F. and Henderson, C.R. (1979). Maximum likelihood estimates of parameters of first and second lactation milk records. J. Dairy Sci. 62: 990-995.
Smith, S.P. and Graser, H.-U. (1986). Estimating variance components in a class of mixed models by restricted maximum likelihood. J. Dairy Sci. 69: 1156-1165.
Swalve, H. and Van Vleck, L.D. (1987). Estimation of genetic (co)variances for milk yield in first three lactations using an animal model and restricted maximum likelihood. J. Dairy Sci. 70: 842-849.
Tong, A.K.W., Kennedy, B.W. and Moxley, J.E. (1979). Heritabilities and genetic correlations for the first three lactations from records subject to culling. J. Dairy Sci. 64: 1784-1790.
Ufford, G.R., Henderson, C.R., Keown, J.F. and Van Vleck, L.D. (1979). Accuracy of first lactation versus all lactation sire evaluations by best linear unbiased prediction. J. Dairy Sci. 62: 603-612.
Van Vleck, L.D. and Dong, M.C. (1988). Genetic (co)variances for milk, fat, and protein yield in Holsteins using an animal model. J. Dairy Sci. 71: 3040-3046.
Van Vleck, L.D., Dong, M.C. and Wiggans, G.R. (1988). Genetic (co)variances for milk and fat yield in California, New York, and Wisconsin for an animal model by restricted maximum likelihood. J. Dairy Sci. 71: 3053-3060.
Visscher, P.M. and Thompson, R. (1992). Univariate and multivariate parameter estimates for milk production traits using an animal model. I. Description and results of REML analyses. Genet. Sel. Evol. 24: 415-429.
Visscher, P.M., Hill, W.G. and Thompson, R. (1992). Univariate and multivariate parameter estimates for milk production traits using an animal model. II. Efficiency of selection when using simplified covariance structures. Genet. Sel. Evol. 24: 431-447.
Wiggans, G.R. and VanRaden, P.M. (1994). Effect of including parity-age classes on estimated genetic trend for milk and component yields. J. Dairy Sci. 72 (Suppl. 1): 267 (Abstract).
Wiggans, G.R., Misztal, I. and Van Vleck, L.D. (1988). Implementation of an animal model for genetic evaluation of dairy cattle in the United States. J. Dairy Sci. 71 (Suppl. 2): 54-69.
* Nebraska Agricultural Research Division. Journal Series No. 10794, University of Nebraska, Lincoln, NE 68583-0908, USA.