References
- Boldman, K. G., L. A. Kriese, L. D. Van Vleck, C. P. Van Tassell and S. D. Kachman. 1995. A Manual for Use of MTDFREML. A set of programs to obtain estimates of variances and covariances (Draft). U.S. Department of Agriculture, Agricultural Research Service.
- Brandt, H. and G. Grandjot. 1998. Genetic and environmental effects on male fertility of AI boars. Proc. 6th World Congr. Genet. Appl. Livest. Prod. 23:527-530.
- Du Mesnil du Buisson, F., M. Paquignon and M. Courot. 1978. Boar sperm production: use in artificial insemination - a review. Livest. Prod. Sci. 5:293-302. https://doi.org/10.1016/0301-6226(78)90057-X
- Henderson, C. R. 1984. Applications of linear models in animal breeding. Univ. of Guelph, Guelph, Canada.
- Huang, Y. T. and R. K. Johnson. 1996. Effect of selection for size of testes in boars on semen and testis traits. J. Anim. Sci. 74:750-760. https://doi.org/10.2527/1996.744750x
- Huisman, A. E., R. F. Veerkamp and J. A. M. van Arendonk. 2002. Genetic parameters for various random regression models to describe the weight data of pigs. J. Anim. Sci. 80:575-582. https://doi.org/10.2527/2002.803575x
- Masek, N., J. Kuciel, J. Masek and L. Maca. 1977. Genetical analysis of indicators for evaluating boar ejaculates. Acta Universitatis Agriculturae, Facultas Agronomica, Brno. 25:133-139.
- Meyer, K. 1998. Modeling 'repeated' records: covariance functions and random regression models to analyse animal breeding data. 6th World Congr. Genet. Appl. Livest. Prod. 25:517-520.
- Meyer, K. 2000. Random regressions to model phenotypic variation in monthly weights of Australian beef cows. Livest. Prod. Sci. 65:19-38. https://doi.org/10.1016/S0301-6226(99)00183-9
- Meyer, K. 2001. Estimates of direct and maternal covariance functions for growth of Australian beef calves from birth to weaning. Genet. Sel. Evol. 33:487-514. https://doi.org/10.1186/1297-9686-33-5-487
- Meyer, K. and W. G. Hill. 1997. Estimation of genetic and phenotypic covariance functions for longitudinal or 'repeated' records by restricted maximum likelihood. Livest. Prod. Sci. 47:185-200. https://doi.org/10.1016/S0301-6226(96)01414-5
- Morant, S. V. and A. Gnanasakthy. 1989. A new approach to the mathematical formulation of lactation curves. Anim. Produc. 49:151-162. https://doi.org/10.1017/S000335610003227X
- Oh, S.-H., M. T. See, T. E. Long and J. M. Galvin. 2006. Genetic parameters for various random regression models to describe total sperm cells per ejaculate over the reproductive lifetime of boars. J. Anim. Sci. 84:538-545. https://doi.org/10.2527/2006.843538x
- Olori, V. E., W. G. Hill, B. J. McGuirk and S. Brotherstone. 1999. Estimating variance components for test day milk records by restricted maximum likelihood with a random regression animal model. Livest. Prod. Sci. 61:53-63. https://doi.org/10.1016/S0301-6226(99)00052-4
- Strabel, T. and I. Misztal. 1999. Genetic parameters for first and second lactation milk yields of Polish Black and White Cattle with random regression test-day models. J. Dairy Sci. 82:2805-2810. https://doi.org/10.3168/jds.S0022-0302(99)75538-4
- Reents, R., J. C. M. Dekkers and L. R. Schaeffer. 1995. Genetic evaluation for somatic cell score with a test day model for multiple lactations. J. Dairy Sci. 78:2858-2870. https://doi.org/10.3168/jds.S0022-0302(95)76916-8
- Van der Werf, J. H. J., M. E. Goddard and K. Meyer. 1998. The use of covariance functions and random regressions for genetic evaluation of milk production based on test day records. J. Dairy Sci. 81:3300-3308. https://doi.org/10.3168/jds.S0022-0302(98)75895-3
Cited by
- Heritabilities and genetic correlations for litter size and semen traits in Czech Large White and Landrace pigs1 vol.88, pp.9, 2010, https://doi.org/10.2527/jas.2009-2555
- Estimation of Covariance Functions for Growth of Angora Goats vol.22, pp.7, 2009, https://doi.org/10.5713/ajas.2009.70036
- Relationship Between Number of Repeated Records and Accuracy of Breeding Value Estimates vol.54, pp.2, 2008, https://doi.org/10.5938/youton.54.2_44