Prediction of genetic correlations and international breeding values for missing traits

Journal of Dairy Science

Volumn 90, Issue 10, 2007, Pages 4805-4813

  Mark, T ^a   Fikse, W F ^b   Sullivan, P G ^c   VanRaden, P M ^d  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^c CANADIAN DAIRY NETWORK   (Canada)

^d AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Genetic correlation; International genetic evaluation; Prior information; Udder health

Indexed keywords

EID: 35748984100     PISSN: 00220302     EISSN: 15253198     Source Type: Journal    
DOI: 10.3168/jds.2007-0248     Document Type: Article

References (19)

1. Akaike, H. 1973. Information theory as an extension of the maximum likelihood principle. Pages 267-281 in Proc. Second Int. Symp. Informational Theory. B. N. Petrov and F. Csaki, ed. Akademiai Kiado, Budapest, Hungary.
2. Cappelen, J., and J. J. Jensen. 2001. Jordens Klima - Guide til vejr og klima i 156 lande. Teknisk rapport 01-17. Danmarks Meteorologiske Institut, Copenhagen, Denmark, (in Danish)
3. Harris, B., and D. Johnson. 1998. Information source reliability method applied to MACE. Interbull Bull. 17:31-36.
4. Henderson, C. R. 1977. Best linear unbiased prediction of breeding values not in the model for records. J. Dairy Sci. 60:783-787.
5. ICAR. 2006. Yearly enquiries. www.icar.org Accessed October 4, 2006.
6. Interbull. 2004. Description of national GES as applied in member countries. www.interbull.org Accessed October 4, 2006. Interbull, Uppsala, Sweden.
7. Jorjani, H., L. Klei, and U. Emanuelson. 2004. A simple method for weighted bending of genetic (co)variance matrices. J. Dairy Sci. 86:677-679.
8. Klei, L. 1995. Evaluating Holstein sires for conformation traits using data from the United States and the Netherlands. PhD Thesis. Cornell University, Ithaca, NY.
9. Mark, T., W. F. Fikse, U. Emanuelson, and J. Philipsson. 2002. International genetic evaluations of Holstein sires for milk somatic cell and clinical mastitis. J. Dairy Sci. 85:2384-2392.
10. Mark, T., W. F. Fikse, P. G. Sullivan, and P. M. VanRaden. 2006a. Prediction of international breeding values for non-measured traits: Application to clinical mastitis. Proc. 8th World Congr. Genet. Appl. Livest. Prod., Belo Horizonte, Brazil.
11. Mark, T., P. Madsen, J. Jensen, and W. F. Fikse. 2005a. Short communication: Difficulties in estimating across country genetic correlations for weakly linked bull populations. J. Dairy Sci. 88:3303-3305.
12. Mark, T., P. Madsen, J. Jensen, and W. F. Fikse. 2005b. Prior (co)variances can improve multiple-trait across-country evaluations of weakly linked bull populations. J. Dairy Sci. 88:3290-3302.
13. Mark, T., and P. G. Sullivan. 2006. Multiple-trait-multiple-country genetic evaluations for udder health traits. J. Dairy Sci. 89:4874-4885.
14. Mark, T., P. G. Sullivan, W. F. Fikse, and P. M. VanRaden. 2006b. Prior genetic correlations and non-measured traits. Interbull Bull. 35:72-75.
15. Rekaya, R., K. A. Weigel, and D. Gianola. 2001. Application of a structural model for genetic covariances in international dairy sire evaluations. J. Dairy Sci. 84:1525-1530.
16. Schaeffer, L. R. 2001. Multiple trait international bull comparisons. Livest. Prod. Sci. 69:145-153.
17. Sigurdsson, A., G. Banos, and J. Philipsson. 1996. Estimation of genetic (co)variance components for international evaluation of dairy bulls. Acta Agric. Scand. A, Anim. Sci. 46:129-136.
18. Sullivan, P. G., and J. W. Wilton. 2001. Multiple-trait MACE with a variable number of traits per country. Interbull Bull. 27:68-72.
19. Torsell, A. 2007. Prospects of performing multiple-country comparison of dairy sires among countries not participating in Interbull international breeding evaluations. MS Thesis no. 293. Swedish University of Agricultural Sciences, Uppsala.