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United States Department of Agriculture

Agricultural Research Service

Title: Prediction of International Breeding Values for Non-Measured Traits: Application to Clinical Mastitis

Authors
item Mark, T - ROYAL VET & AGRIC UNIV
item Fikse, W - INTERBULL CENTRE
item Sullivan, P - CANADIAN DAIRY NETWORK
item VANRADEN, PAUL

Submitted to: World Congress of Genetics Applied in Livestock Production
Publication Type: Proceedings
Publication Acceptance Date: May 6, 2006
Publication Date: August 13, 2006
Citation: Mark, T., Fikse, W.F., Sullivan, P.G., Van Raden, P.M. 2006. Prediction of international breeding values for non-measured traits: application to clinical mastitis. 8th World Congress of Genetics Applied in Livestock Production. Communication 01-31.

Interpretive Summary: A method to predict international breeding values for non-measured traits was applied to udder health data from multiple countries. The method predicts simulated breeding values for non-measured traits by g'V-1ui, where g is a vector containing the expected genetic correlations between the non-measured traits and the traits included in the multiple-trait-multiple-country evaluation (MT-Mace) for measured traits, and V is the (co)variance matrix among the international breeding values from MT-Mace. The method yielded simulated breeding values which enable more efficient selection for resistance to clinical mastitis in countries without direct mastitis records. The method was sensitive to the assumed genetic correlations.

Technical Abstract: A method to predict international breeding values for non-measured traits was applied to udder health data from multiple countries. The method predicts simulated breeding values for non-measured traits by g'V-1ui, where g is a vector containing the expected genetic correlations between the non-measured traits and the traits included in the multiple-trait-multiple-country evaluation (MT-Mace) for measured traits, and V is the (co)variance matrix among the international breeding values from MT-Mace. The method yielded simulated breeding values which enable more efficient selection for resistance to clinical mastitis in countries without direct mastitis records. The method was sensitive to the assumed genetic correlations.

Last Modified: 9/10/2014