Genetic parameters for various random regression models to describe total sperm cells per ejaculate over the reproductive lifetime of boars

Journal of Animal Science

Volumn 84, Issue 3, 2006, Pages 538-545

  Oh, S H ^a   See, M T ^a   Long, T E ^b   Galvin, J M ^b,c  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b Smithfield Premium Genetics   (United States)

^c Halifax Community College   (United States)

Author keywords

Genetic parameter; Pig; Random regression; Semen

Indexed keywords

ANIMALIA; SUS SCROFA;

EID: 33748797712     PISSN: 00218812     EISSN: None     Source Type: Journal    
DOI: 10.2527/2006.843538x     Document Type: Article

References (16)

1. Brandt, H., and G. Grandjot. 1998. Genetic and environmental effects on male fertility of AI boars. Proc. 6th World Cong. Genet. Appl. Livest. Prod. 23:627-530.
2. 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.
3. 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.
4. 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.
5. Jamrozik, J., and L. R. Schaeffer. 1997. Estimates of genetic parameters for a test day model with random regressions for yield traits of first lactation Holsteins. J. Dairy Sci. 80:762-770.
6. Lidauer, M., and E. Mäntysaari. 2001. A multiplicative random regression model for test-day data with heterogeneous variance. Proc. 2001 Interbull Meeting, Budapest, Hungary. Bulletin 27:167-171.
7. 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.
8. Meyer, K. 1998. "DXMRR" - A program to estimate covariance functions for longitudinal data by restricted maximum likelihood. Proc. 6th World Cong. Genet. Appl. Livest. Prod. 27:465-466.
9. Meyer, K. 2001a. Estimates of direct and maternal covariance functions for growth of Australian beef calves from birth to weaning. Genet. Sel. Evol. 33:487-514.
10. Meyer, K. 2001b. Estimating genetic covariance functions assuming a parametric correlation structure for environmental effects. Genet. Sel. Evol. 33:557-585.
11. 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.
12. Morant, S. V., and A. Gnanasakthy. 1989. A new approach to the mathematical formulation of lactation curves. Anim. Prod. 49:151-162.
13. Oh, S.-H., M. T. See, T. E. Long, and J. M. Galvin. 2006. Estimates of genetic correlations between production and semen traits in boar. Asian-Australasian J. Anim. Sci.
14. 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.
15. Schaeffer, L. R. 2000. Random regression models. Lecture notes. Available: http://www.aps.uoguelph.ca/~lrs/ANSC637/LRS14A/ ccessed Oct. 31, 2005.
16. 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.