PROPOSTA DE BLUP GENÔMICO COM EFEITOS ADITIVOS E DE DOMINÂNCIA EM AMBIENTE R
Main Article Content
Abstract
Recently, the dominance effects have been included in genomic selection of various species, being the GBLUP-D method the most widely used. This method consists in replacing, in the REML/BLUP procedure, the pedigree-based relationship matrices by marker-based relationship matrices. This method can be performed by means of GVCBLUP software or through R-package BGLR, which is based on Bayesian regression via Reproducing Kernel Hilbert Spaces – RKHS. In addition to these programs, we proposed the lmekin function implemented in the coxme package of R, which also allows the inclusion of additive and dominance genomic relationship matrices. In this context, we aimed to compare, via simulated data, the results from lmekin function with those from GVCBLUP software and BGLR. The results showed that the GBLUP and GBLUP-D methods fitted via REML in the GVCBLUP software and by means of the lmekin function are equivalent. The lmekin function is an efficient alternative for fitting genomic models with additive and dominance effects.
Article Details
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).