Implementation of single-step evaluations for fitness traits in the German and Austrian Fleckvieh and Brown Swiss populations
Abstract
The official genomic evaluations for the German-Austrian-Czech Fleckvieh and German-Austrian Brown Swiss populations were implemented in 2011 and since then only bull genotypes were used in the calibration set of the two-step system. In April 2021, genomic breeding values from a routine single-step system for almost all traits in the breeding program were published for the first time. The single-step system includes roughly 300.000 Fleckvieh and 70.000 Brown Swiss genotyped animals, of which for some traits up to 285,000 and 58,000 had direct phenotypes for Fleckvieh and Brown Swiss, respectively. During the process of implementation of single-step for fitness traits, some important points came up that needed to be dealt with. One key aspect is the validation of the estimated breeding values (EBVs). The Linear-Regression-Method published by Legarra and Reverter (2018) shows some considerable advantages, for example to have large validation groups and validation groups of female animals, which are less strictly selected. Other points are scaling and singularity prevention of the genomic relationship matrix (G). Scaling the G to fit to the numerator relationship matrix (NRM) showed positive effects on the validation metrics. The application of singularity prevention methods has shown that there are effects on bias in Mendelian sampling in specific families.
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).