Integration of Interbull MACE breeding values into the multiple-trait single-step random regression test-day genetic evaluation for yield traits of Australian red breeds
Abstract
Interbull’s multiple across country evaluation provides national breeding organisations with breeding values for internationally used bulls which must be integrated into the domestic evaluation. For that purpose several methods have been proposed which either model Interbull breeding values as prior information in a Bayesian approach, or as additional pseudo data points. Single-step random regression test-day models add complexity to the integration because of the dimensionality discrepancy between the number of Interbull breeding values and the number of modelled genetic effects. This paper presents the results from integrating 16,063 Interbull breeding values into the domestic single-step random regression test-day model for milk, fat and protein yield for Australian red dairy cattle breeds. Results suggest that the integration was successful with regard to alignment of Interbull breeding values with their domestic equivalent as well as with regard to the individual and population-wide increase in reliabilities.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).