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Inbreeding is caused by mating between related individuals and it is associated with inbreeding depression. Recently, some models have been described to predict individual inbreeding depression loads with the aim of avoiding undesirable mating and to perform artificial purging. In this study, those models were implemented using a single-step GBLUP approach with two main objectives: (1) to evaluate the increase of accuracy of the prediction of inbreeding loads thanks to genomic information; and (2) to use the equivalence between GBLUP and SNP-BLUP to estimate the SNP effects and to identify the genomic regions associated with the largest variance of inbreeding loads. The results of this study revealed that the increase of accuracy was only relevant for genotyped individuals, and that the inbreeding load variance is heterogeneously distributed along the genome, indicating that the procedure may be adequate to detect potential candidate genes which explain the phenomenon of inbreeding depression.
Varona et al. (Sat,) studied this question.