Prediction of daily milk, fat, and protein production by a random regression test-day model

Journal of Dairy Science

Volumn 87, Issue 6, 2004, Pages 1925-1933

  Mayeres, P ^a   Stoll, J ^b   Bormann, J ^a,b   Reents, R ^c   Gengler, N ^a,d  

^a UNIVERSITY OF LIÈGE   (Belgium)

^b Luxembourgian Herdbook Federation   (Luxembourg)

^c United Datasystems for Animal Production (VIT)   (Germany)

^d FUND FOR SCIENTIFIC RESEARCH   (Belgium)

Author keywords

Management; Random regression; Test day yield

Indexed keywords

ANIMALIA;

EID: 3142537305     PISSN: 00220302     EISSN: None     Source Type: Journal    
DOI: 10.3168/jds.S0022-0302(04)73351-2     Document Type: Article

References (18)

1. Ali, T. E., and L. R. Schaeffer. 1987. Accounting for covariances among test-day milk yield in dairy cows. Can. J. Anim. Sci. 67:637-644.
2. Everett, R. W., F. Schmitz, and L. H. Wadell. 1994. A test day model for monitoring management and genetics in dairy cattle. J. Dairy Sci. 77(Suppl. 1):267. (Abstr.)
3. Gengler, N., A. Tijani, G. R. Wiggans, and I. Misztal. 1999. Estimation of (co)variance function coefficient for test day yield with expectation-maximization restricted maximum likelihood algorithm. J. Dairy Sci. 82:225. [Online.] Available: http://www.adsa.org/ manuscripts/8436e/.
4. Gengler, N., and G. R. Wiggans. 2001. Variance of effects of lactation stage within herd by herd yield. J. Dairy Sci. 84(Suppl. 1):216. (Abstr. 896)
5. INTERBULL. 2000. National genetic evaluations programs for dairy production traits practised in INTERBULL member countries 1999-2000. INTERBULL Bulletin 24. Upsala, Sweden. Available: http://www-interbull.slu.se/bulletins/ framesida-pub.htm.
6. Lidauer, M., E. A. Mäntysaary, I. Stranden, and J. Pösö. 2000. Multiple-trait random regression test-day model for all lactations. INTERBULL Bulletin 25:81-87. Available: http://www-interbull.-slu.se/bulletins/ framesida-pub.htm.
7. Mayeres, P., J. Stoll, R. Reents, and N. Gengler 2002. Alternative modeling of fixed effects in test day model to increase their usefulness for management decisions. INTERBULL Bulletin 29:128-132. Available: http://www-interbull.slu.se/bulletins/framesida-pub.htm.
8. 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.
9. Ptak, E., and L. R. Schaeffer. 1993. Use of test day yields for genetic evaluation of dairy sires and cows. Livest. Prod. Sci. 34:23-34.
10. 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.
11. Reents, R., L. Dopp, M. Schmutz, and F. Reinhardt. 1998. Impact of application of a test-day model to dairy production traits on genetic evaluation of cows. INTERBULL Bulletin 17:49-54. Available: http://www-interbull.slu.se/ bulletins/framesida-pub.htm.
12. Schaeffer, L. R., and J. Jamrozik. 1996. Multiple-trait prediction of lactation yields for dairy cows. J. Dairy Sci. 79:2044-2055.
13. 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.
14. Van Bebber, J., N. Reinsch, W. Junge, and E. Kalm. 1997. Accounting for herd, year and season effects in genetic evaluations of dairy cattle: A review. Livest. Prod. Sci. 51:191-203.
15. Van Bebber, J., N. Reinsch, W. Junge, and E. Kalm. 1999. Monitoring daily milk yields with a recursive test day repeatability model (Kalman Filter). J. Dairy Sci. 82:2421-2429.
16. VanRaden, P. 1997. Lactation yields and accuracies computed from test day yields and (co)variances by best prediction . J. Dairy Sci. 80:3015-3022.
17. Van Vleck, L. D. 1987. Contemporary groups for genetic evaluations. J. Dairy Sci. 70:2456-2464.
18. Wiggans, G. R. 1985. Procedures for calculating lactation records. Natl Coop. Dairy Herd Improvement Handbook. Fact Sheet G-1, p.10. Ext. Serv., USDA, Washington, DC.