Modeling lactation curves and estimation of genetic parameters for first lactation test-day records of French Holstein cows

Journal of Dairy Science

Volumn 86, Issue 7, 2003, Pages 2480-2490

  Druet, T ^a,b   Jaffrezic F ^a   Boichard, D ^a   Ducrocq, V ^a  

^a CEMAGREF   (France)

^b UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

Genetic parameters; Lactation curve; Test day model

Indexed keywords

MAMMALIA;

ANIMAL; ARTICLE; BIOLOGICAL MODEL; CATTLE; FEMALE; GENETIC VARIABILITY; GENETICS; LACTATION; PHENOTYPE; PREGNANCY; REGRESSION ANALYSIS;

ANIMALS; CATTLE; FEMALE; LACTATION; MODELS, GENETIC; PHENOTYPE; PREGNANCY; REGRESSION ANALYSIS; VARIATION (GENETICS);

EID: 3442892762     PISSN: 00220302     EISSN: None     Source Type: Journal    
DOI: 10.3168/jds.S0022-0302(03)73842-9     Document Type: Article

References (39)

1. Ali, T. E., and L. R. Schaeffer. 1987. Accounting for covariances among test day milk yields in dairy cows. Can. J. Anim. Sci. 67:637.
2. Auvray, B., and N. Gengler. 2002. Feasibility of a Walloon test-day model and study of its potential as tool for selection and management. INTERBULL Bull. 29:123-127.
3. Babb, J. S. 1986. Pooling maximum likelihood estimates of variance components obtained from subsets of unbalanced data. M. Sc. Thesis, Cornell University, Ithaca, NY.
4. Brotherstone, S., I. M. S. White, and K. Meyer. 2000. Genetic modelling of daily milk yield using orthogonal polynomials and parametric curves. Anim. Sci. 70:407-415.
5. De Roos, A. P. W., A. G. F. Harbers, and G. de Jong. 2002. Herd specific random regression curves in a test-day model for protein yield in dairy cattle. Proc. 7th World Congr. Genet. Appl. Livest. Prod., Montpellier, France. CD-ROM. Communication No. 01-05.
6. Ducrocq, V. 1993. Genetic parameters for type traits in the French Holstein breed based on a multiple-trait animal model. Livest. Prod. Sci. 36:143-156.
7. Gengler, N., and G. Wiggans. 2001. Heterogeneity in (co)variances structures of test-day yields. INTERBULL Bull. 27:179-184.
8. Gilmour, A. R., B. R. Cullis, S. J. Welham, and R. Thompson. 2000. ASREML Manual. New South Wales Dep. Agric., Orange, Australia.
9. Green, P. J., and B. W. Silverman. 1994. Nonparametric regression and generalized linear models. Chapman & Hall, London.
10. Jaffrezic, F., I. M. S. White, R. Thompson, and W. G. Hill. 2000. A link function approach to model heterogeneity of residual variances over time in lactation curve analyses. J. Dairy Sci. 83:1089-1093.
11. Jakobsen, J. H., P. Madsen, J. Jensen, J. Pedersen, L. G. Christensen, and D. A. Sorensen. 2002. Genetic parameters for milk production and persistency for Danish Holsteins estimated in random regression models using REML. J. Dairy Sci. 85:1607-1616.
12. 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.
13. Jamrozik, J., L. R. Schaeffer, and F. Grignola. 1998. Genetic parameters for production traits and somatic cell score of Canadian Holsteins with multiple trait random regression model. Proc. 6th World Congr. Genet. Appl. Livest. Prod., Armidale, Australia XXIII:303-306.
14. Jensen, J. 2001. Genetic evaluation of dairy cattle using test-day models. J. Dairy Sci. 84:2803-2812.
15. Jensen, J., E. A. Mäntysaari, P. Madsen, and R. Thompson. 1996. Residual maximum likelihood estimation of (co)variance components in multivariate mixed linear models using average information. J. of the Indian Society of Agricultural Statistics. 215-236.
16. Kettunen, A., E. A. Mäntysaari, I. Strandén, J. Pöso, and M. Lidauer. 1998. Estimation of genetic parameters for first lactation test day milk production using random regression models. Proc. 6th World Congr. Genet. Appl. Livest. Prod., Armidale, Australia XXIII:307-310.
17. Kirkpatrick, M., D. Lofsvold, and M. Bulmer. 1990. Analysis of inheritance, selection and evolution of growth trajectories. Genetics 124:979-993.
18. Liu, Z., F. Reinhardt, and R. Reents. 2000. Estimating parameters of a random regression test day model for first three lactation milk production traits using the covariance function approach. INTERBULL Bull. 25:74-80.
19. Mayeres, P. 2002. Appui technique à la gestion des troupeaux de bovins laitiers àtravers la mise en évidence d'influences spécifiques au niveau troupeaux et des vaches sur les performances et l'efficacité biologique. Master thesis, Gembloux Agricultural University, Gembloux, Belgium.
20. Meyer, K., H.-U. Graser, and K. Hammond. 1989. Estimates of genetic parameters for first lactation test day production of Australian Black and White cows. Livest. Prod. Sci. 21:177-199.
21. Meyer, K. 1998. Estimating covariance functions for longitudinal data using a random regression model. Genet. Sel. Evol. 30:221-240.
22. 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.
23. Misztal, I., T. Strabel, J. Jamrozik, E. A. Mäntysaari, and T. H. E. Meuwissen. 2000. Strategies for estimating the parameters needed for different test-day models. J. Dairy Sci. 83:1125-1134.
24. Misztal, I., S. Tsuruta, T. Strabel, B. Auvray, T. Druet, and D. H. Lee. 2002. BLUF90 and related programs (BGF90). Proc. 7th World Congr. Genet. Appl. Livest. Prod., Montpellier, France. CD-ROM. Communication No. 28-07.
25. Oehlert, G. W. 1992. A note on the delta method. American Statistician 46:27-29.
26. Olori, V. E., S. Brotherstone, W. G. Hill, B. J. McGuirk. 1997. Effect of gestation stage on milk yield and composition in Holstein Friesian dairy cattle. Livest. Prod. Sci. 52:167-176.
27. 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.
28. Pander, B. L., W. G. Hill, and R. Thompson. 1992. Genetic parameters of test day records of British Holstein-Friesian heifers. Anim. Prod. 53:11-21.
29. Pool, M. H., and T. H. E. Meuwissen. 2000. Reduction of the number of parameters needed for a polynomial random regression test day model. Livest. Prod. Sci. 64:133-145.
30. Pool, M. H., L. L. G. Janss, and T. H. E. Meuwissen. 2000. Genetic parameters of Legendre polynomials for first parity lactation curves. J. Dairy Sci. 83:2640-2649.
31. Rekaya, R., M. J. Carabaño, and M. A. Toro. 1999. Use of test day yields for the genetic evaluation of production traits in Holstein-Friesian cattle. Livest. Prod. Sci. 57:203-217.
32. Samoré, A. B., P. Boettcher, J. Jamrozik, A. Bagnato, and A. F. Groen. 2002. Genetic parameters for production traits and somatic cell scores estimated with a multiple trait random regression model in Italian Holsteins. Proc. 7th World Congr. Genet. Appl. Livest. Prod., Montpellier, France. CD-ROM. Communication No. 01-07.
33. Smith, J. W., and J. E. Legates. 1962. Relation of days open and days dry to lactation milk and fat yields. J. Dairy Sci. 45:1192-1198.
34. 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.
35. Swalve, H. H. 1995. The effect of test day models on the estimation of genetic parameters and breeding values for dairy yield traits. J. Dairy Sci. 78:929-938.
36. 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.
37. White, I. M. S., R. Thompson, and S. Brotherstone. 1999. Genetic and environmental smoothing of lactation curves with cubic splines. J. Dairy Sci. 82:632-638.
38. Wilmink, J. B. M. 1987. Adjustment of test-day milk, fat, and protein yields for age season and stage of lactation. Livest. Prod. Sci. 16:335-348.
39. Yerex, R. P. 1988. Pooling restricted maximum likelihood estimates from data subsets under the animal model. Ph.D. thesis, Cornell University, Ithaca, NY.