Best prediction of yields for long lactations

Journal of Dairy Science

Volumn 92, Issue 4, 2009, Pages 1796-1810

  Cole, J B ^a   Null, D J ^a   vanRaden, P M ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Best prediction; Long lactation; Milk yield

Indexed keywords

ANIMAL; ARTICLE; BIOLOGICAL MODEL; BREEDING; CATTLE; CHEMISTRY; DAIRYING; FEMALE; LACTATION; METHODOLOGY; MILK; PHYSIOLOGY; REPRODUCIBILITY; SECRETION; TIME;

ANIMALS; BREEDING; CATTLE; DAIRYING; FEMALE; LACTATION; MILK; MODELS, BIOLOGICAL; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 65249105425     PISSN: 00220302     EISSN: 15253198     Source Type: Journal    
DOI: 10.3168/jds.2007-0976     Document Type: Article

References (36)

1. Bohmanova, J., I. Misztal, S. Tsuruta, H. D. Norman, and T. J. Lawlor. 2005. National genetic evaluation of milk yield for heat tolerance of United States Holsteins. Interbull Bull. 33:160-162.
2. Canavesi, F., S. Biffani, and E. L. Nicolazzi. 2007. Three versus four traits random regression TD model genetic evaluation for the Holstein breed in Italy. Page 64 in Proc. European Assoc. Anim. Prod. 58th Annu. Mtg., Dublin, Ireland.
3. Cole, J. B., and P. M. VanRaden. 2006. Genetic evaluation and best prediction of lactation persistency. J. Dairy Sci. 89:2722-2728.
4. Cole, J. B., and P. M. VanRaden. 2007. A Manual for Use of BESTPRED: A Program for Estimation of Lactation Yield and Persistency Using Best Prediction. http://www.aipl.arsusda.gov/ software/bestpred/. Accessed Dec.11, 2007.
5. De Vries, A. 2006. Ranking dairy cows for optimal breeding decisions. Pages 49-6 in Proc. 43rd Florida Dairy Prod. Conf., Gainesville.
6. DeGroot, B. J., J. F. Keown, L. D. Van Vleck, and S. D. Kachman. 2007. Estimates of genetic parameters for Holstein cows for testday yield traits with a random regression cubic spline model. Genet. Mol. Res. 6:434-444.
7. Dematawewa, C. M. B., R. E. Pearson, and P. M. VanRaden. 2007. Modeling extended lactations of Holsteins. J. Dairy Sci. 90:3924-3936.
8. Dijkstra, J., J. France, M. S. Dhanoa, J. A. Maas, M. D. Hanigan, A. J. Rook, and D. E. Beever. 1997. A model to describe growth patterns of the mammary gland during pregnancy and lactation. J. Dairy Sci. 80:2340-2354.
9. Gengler, N., G. R. Wiggans, and A. Gillon. 2004. Estimatedheterogeneity of phenotypic variance of test-day yield with a structural variance model. J. Dairy Sci. 87:1908-1916.
10. Hansen, L. B. 2000. Consequences of selection for milk yield from a geneticist's viewpoint. J. Dairy Sci. 83:1145-1150.
11. ICAR. 2006. International Agreement of Recording Practices. International Committee for Animal Recording, Rome, Italy.
12. Kachman, S. D. 2004. Relationship between the choice of a random regression model and the possible shapes of the resulting variance functions. J. Dairy Sci. 87(Suppl. 1):243. (Abstr.)
13. Knight, C. H. 2005. Extended lactation: Turning theory into reality. Adv. Dairy Technol. 17:113-124.
14. Lucy, M. C. 2001. Reproductive loss in high-producing dairy cattle: Where will it end? J. Dairy Sci. 84:1277-1293.
15. Morant, S. V., and A. Gnanasakthy. 1989. A new approach to the mathematical formulation of lactation curves. Anim. Prod. 49:151-162.
16. Nelder, J. A. 1966. Inverse polynomials, a useful group of multifactor response functions. Biometrics 22:128-141.
17. Norman, H. D., P. M. VanRaden, J. R. Wright, and J. S. Clay. 1999a. Comparison of test interval and best prediction methods for estimation of lactation yield from monthly, a.m.-p.m., and trimonthly testing. J. Dairy Sci. 82:438-444.
18. Norman, H. D., P. M. VanRaden, J. R. Wright, and L. A. Smith. 1999b. Mathematical representations of correlations among yield traits and somatic cell score on test day. J. Dairy Sci. 82:2205-2211.
19. Patterson, H. D., and R. Thompson. 1971. Recovery of inter-block information when block sizes are unequal. Biometrika 58:545-554.
20. Quist, M. A., S. J. LeBlanc, K. J. Hand, D. Lazenby, F. Miglior, and D. F. Kelton. 2007. Agreement of predicted 305-day milk yields relative to actual 305-day milk weight yields. J. Dairy Sci. 90:4684-4692.
21. Rajala-Schultz, P. J., Y. T. Gröhn, C. E. McCulloch, and C. L. Guard. 1999. Effects of clinical mastitis on milk yield in dairy cows. J. Dairy Sci. 82:1213-1220.
22. Reents, R., J. Jamrozik, L. R. Schaeffer, and J. C. M. Dekkers. 1995. Estimation of genetic parameters for TD records of somatic cell score. J. Dairy Sci. 78:2847-2857.
23. Rodriguez-Zas, S. L., D. Gianola, and G. E. Shook. 2000a. Evaluation of models for somatic cell score lactation patterns in Holsteins. Livest. Prod. Sci. 67:19-30.
24. Rodriguez-Zas, S. L., D. Gianola, and G. E. Shook. 2000b. Anapproximate Bayesian analysis of somatic cell score curves in Holsteins. Acta Agric. Scand. A50:291-299.
25. Rook, A. J., J. France, and M. S. Dhanoa. 1993. On the mathematical description of lactation curves. J. Agric. Sci. 121:97-102.
26. Sargent, F. D., V. H. Lytton, and O. G. Wall Jr. 1968. Test interval method of calculating dairy herd improvement association records. J. Dairy Sci. 51:170-179.
27. SAS Institute. 2007. SAS OnlineDoc 9.1.3. SAS Institute Inc., Cary, NC. http://support.sas.com/onlinedoc/913/docMainpage.jsp. Accessed Dec. 11, 2007.
28. Schaeffer, L. R., and J. Jamrozik. 1996. Multiple-trait prediction of lactation yields for dairy cows. J. Dairy Sci. 79:2044-2055.
29. Schutz, M. M., P. M. VanRaden, G. R. Wiggans, and H. D. Norman. 1995. Standardization of lactation means of somatic cell scores for calculation of genetic evaluations. J. Dairy Sci. 78:1843-1854.
30. Shook, G. E., E. L. Jensen, and F. N. Dickinson. 1980a. Factors for estimating sample-day yield in am-pm plans. DHI Letters 56:25-30.
31. Shook, G. E., L. P. Johnson, and F. N. Dickinson. 1980b. Factors for improving accuracy of estimates of test-interval yield. DHI Letters 56:9-24.
32. VanRaden, P. M. 1997. Lactation yields and accuracies computed from test-day yields and (co)variances by best prediction. J. Dairy Sci. 80:3015-3030.
33. 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.
34. Wilmink, J. B. M. 1987. Adjustment of test-day milk, fat and protein yield for age, season and stage of lactation. Livest. Prod. Sci. 16:335-348.
35. Windig, J. J., M. P. L. Calus, B. Beerda, and R. F. Veerkamp. 2006. Genetic correlations between milk production and health and fertility depending on herd environment. J. Dairy Sci. 89:1765-1775.
36. Wood, P. D. P. 1967. Algebraic model of the lactation curve in cattle. Nature 216:164-165.