Naslov
The potential of genomic prediction for boar taint reduction in pigs

Autori
Lukic, Boris ; Pong-Wong, Ricardo ; Rowe, Suzanne ; de Koning, Dirk-Jan ; Velander, Ingela ; Haley, Chris S. ; Archibald L., Alan ; Woolliams, John A.

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
4th International Conference of Quantitative Genetics, Edinburgh, Book of abstracts / Hill, Bill ; Buenger, Lutz ; Haley, Chris ; Kearsey, Mike ; DJ de Koning ; Kruuk, Loeske ; Pemberton, Josephine ; Wright, Alan - Edinburgh : ICQG 4 Conference, 2012, 142-142

Skup
4th International Conference of Quantitative Genetics, Edinburgh

Mjesto i datum
Edinburgh, Ujedinjeno Kraljevstvo, 17.06.2012. - 22.06.2012

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
boar taint ; genomic selection ; heritability ; Danish Landrace

Sažetak
Androstenone and skatole accumulate in the fat of mature non- castrated male pigs and is detected as boar taint - an offensive odour affecting the smell and taste of cooked pork. Genetic variation exists for their concentrations and so selection may provide a more sustainable solution than castration for reducing taint in commercial pigs. Genetic progress is limited by the inability to measure taint prior to selection in young animals. The study objectives were to investigate the potential value of genomic selection methodology for predicting breeding values of androstenone and skatole within a commercial Danish Landrace population. Five hundred male pigs with high skatole (>0.3 μg/g) at slaughter were matched with low skatole male litter mates and measured for androstenone. Phenotypes for both traits were corrected for farm as a fixed effect and age as a covariate prior to genetic analysis. Genotyping was performed using the Illumina SNP60 porcine beadchip. After QC (call rate >0.95, MAF >0.01), 42, 916 SNPs and 938 individuals remained. A 5- fold cross- validation study (~751 training and ~187 validation animals per group) was carried out to compare the accuracy of GBLUP, Bayes A, Bayes SSVS and Bayesian Lasso to predict the unobserved phenotypes. Accuracy was calculated as the correlation between the estimated genomic breeding value and phenotype of validation animals. The range of accuracies obtained by different methods was narrow for androstenone, between 0.29 (Bayes SSVS) and 0.30 (Bayes A), but wider for skatole, between 0.21 (GBLUP) and 0.26 (Bayes SSVS). Relative accuracies corrected for h2, were 0.55- 0.56 and 0.77-0.96 for androstenone and skatole respectively, although these are biased by the selection of the cases and controls. Increasing the size of the training set should further improve genomic prediction, especially for androstenone. The results demonstrate that genomic selection has great potential for reducing boar taint in commercial pigs.

Izvorni jezik
Engleski

Znanstvena područja
Poljoprivreda (agronomija)

POVEZANOST RADA