Direct and indirect genomic evaluations in beef cattle
Keywords:
single-step genomic BLUP, genomic recursions, interim GEBV, big genotyped populationAbstract
We tested two modifications into single-step genomic BLUP (ssGBLUP) that allow it to work with a large amount of genotyped animals. The first method is based on genomic recursions (APY) to construct the inverse of the genomic relationship matrix without directly inverting it; all available genotyped animals are included in ssGBLUP with APY, but they are split into base and non-base, and the method returns direct predictions. The second method is an interim genomic evaluation (IP) for young genotyped animals; only a reference set of animals are used in ssGBLUP with IP, and the method returns indirect predictions for young genotyped animals. A dataset from American Angus with records for growth traits was used. Over 8 million animals were in the pedigree, of which 51,883 were genotyped. The ssGBLUP with APY was as accurate as regular ssGBLUP when the number of genotyped base animals was at least 10,000; this method was also faster and required less memory. The ssGBLUP with IP mimicking the previous official evaluation returned the same accuracy of GEBV for young animals as the regular ssGBLUP. While the first method enables complete genomic evaluations for huge genotyped populations, the second allows for quick genomic predictions on young animals without including their information into a new run of evaluation.Downloads
Published
2015-08-12
Issue
Section
Articles
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).