UNASSIGNED: Genetic selection against boar taint, which is caused by high skatole and @entity29562 concentrations in fat, is a more acceptable alternative than is the current practice of castration. Genomic predictors offer an opportunity to overcome the limitations of such selection caused by the phenotype being expressed only in males at slaughter, and this study evaluated different approaches to obtain such predictors. Samples from 1000 @entity1707 were included in a design which was dominated by 421 sib pairs, each pair having one animal with high and one with low skatole concentration (>= 0.3   g/g). All samples were measured for both skatole and @entity29562 and genotyped using the Illumina SNP60 porcine BeadChip for 62  153 single @entity4334 polymorphisms. The accuracy of predicting phenotypes was assessed by cross-validation using six different genomic evaluation methods: genomic best linear unbiased prediction (GBLUP) and five Bayesian regression methods. In addition, this was compared to the accuracy of predictions using only QTL that showed genome-wide significance. The range of accuracies obtained by different prediction methods was narrow for @entity29562 , between 0.29 (Bayes Lasso) and 0.31 (Bayes B), and wider for skatole, between 0.21 (GBLUP) and 0.26 (Bayes SSVS). Relative accuracies, corrected for h(2) , were 0.54-0.56 and 0.75-0.94 for @entity29562 and skatole respectively. The whole-genome evaluation methods gave greater accuracy than using only the QTL detected in the data. The results demonstrate that GBLUP for @entity29562 is the simplest genomic technology to implement and was also close to the most accurate method. More specialised models may be preferable for skatole.

Efficiency of genomic prediction for boar taint reduction in Danish Landrace XXXX .

@entity1707 :: ('9823', 'Species') :: ['pigs'] @entity4334 :: ('D009711', 'Chemical') :: ['nucleotide'] @entity29562 :: ('CHEBI:37894', 'Chemical') :: ['androstenone']
@entity1707 :: (9823,Species) :: ['pigs']
