Abstract

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%

Published in

Journal of Dairy Science
2007, Volume: 90, number: 10, pages: 4805-4813
Publisher: AMER DAIRY SCIENCE ASSOC

SLU Authors

• Fikse, Freddy

  • Department of Animal Biosciences, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Animal and Dairy Science
Veterinary Science


Publication identifier

DOI: https://doi.org/10.3168/jds.2007-0248

Permanent link to this page (URI)

https://res.slu.se/id/publ/16899