Accounting for residual correlations among regional genomic predictions via GMACE
Despite encouraging preliminary results with GMACE, further research has identified some important problems. Errors can be expected in the arbitrary input parameters needed to approximate residual correlations, and GMACE results are quite sensitive to these errors. Restricting bulls to a single GEBV in S-GMACE addresses this concern by eliminating the need for within-sire residual correlations. However, fitting only within-sire residual correlations may be inadequate due to the accumulation of information among relatives via the relationship matrix. It is recommended to further restrict S-GMACE, by preventing the accumulation of genomic information among relatives, to expedite an international genomic evaluation service for young genomically-tested animals. Research should also continue to develop and test less-restricted and/or full-scale GMACE applications
LicenseAuthors 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).