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Prediction of Genetic Correlations and International Breeding Values for Missing Traits

T. Mark^*,1, W. F. Fikse, P. G. Sullivan and P. M. VanRaden

^* Department of Large Animal Sciences, Faculty of Life Sciences, University of Copenhagen, Grønnegårdsvej 8, 1870 C, Denmark
Interbull Centre, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Box 7023, 75007 Uppsala, Sweden
Canadian Dairy Network, Guelph, Ontario, Canada N1G 4T2
Animal Improvement Programs Laboratory (AIPL), Agricultural Research Service, USDA, Beltsville, MD 20705-2350

¹ Corresponding author: thm{at}life.ku.dk

Prediction of genetic merit for missing traits is possible by combining available indicator traits. Indicator traits were combined using genetic correlations obtained from multiple regression equations of estimated genetic correlations among available indicator traits on variables explaining production circumstances and trait definitions. This prediction of missing traits was closer to actual breeding values than breeding values for any of the indicator traits. This was verified by evaluating clinical mastitis in each of the Nordic countries as a missing trait. The derived methodology was used to predict breeding values for clinical mastitis in the United States for local and international bulls with an average reliability of 43%.

Key Words: genetic correlation • international genetic evaluation • udder health • prior information