The German-Austrian genomic evaluation system for Fleckvieh (Siemmental) cattle
Abstract
In December 2010 a routine application for genomic breeding value estimation in the German-Austrian Fleckvieh population was established that is conducted monthly. Since August 2011 the evaluation system is ICAR proven and combined genomic breeding values (GEBV) have now become official. Genomic breeding values are estimated for a total of 45 traits. A special aspect of the current implementation is the division of labor between the three evaluation-centers in Bavaria, Austria and Baden-Württemberg that follows the joint alpine collaboration in conventional breeding value estimation. Starting from a central preparation step for genotypes, results are propagated to the partners for the estimation of genomic breeding values for their specific traits. A two step approach with method G-BLUP based on the use of a genomic relationship matrix is used for all traits. Results of the current validation show a substantial gain in realized reliabilities from genomic breeding values over the reliabilities of the simple parent-average. However, gains do not reach values reported for the Holstein population at a comparable size of the calibration sample, which is probably an effect of the significantly larger effective population size in Fleckvieh.
Downloads
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).