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Genomic prediction of direct genomic breeding values for fatty acid concentrations in subcutaneous adipose and longissimus lumborum muscle of beef cattle.

Chen, L., Vinsky, M.D., Ekine, C., Basarab, J.A., Aalhus, J.L., Dugan, M.E.R, Curtis, J., Fitzsimmons, C.J., Stothard, P., and Li, C. (2014). "Genomic prediction of direct genomic breeding values for fatty acid concentrations in subcutaneous adipose and longissimus lumborum muscle of beef cattle.", Livestock Gentec 5th Annual conference, Edmonton, AB, Canada, August 12-14, 2014. (Poster)

Abstract

The accuracy of predicting direct genomic breeding values for concentrations of 25 major fatty acids in both subcutaneous adipose and longissimus lumborum muscle (striploin) was evaluated with 1,350 crossbred beef steers and heifers genotyped on the Illumina BovineSNP50 BeadChip. Ten-fold cross-validations were implemented with two genomic prediction methods including genomic best linear unbiased prediction (GBLUP) and Bayesian mixture model prediction. Accuracies of genomic prediction of the 25 major fatty acid traits ranged from 0.21 (9c-c16:1) to 0.45 (13c-c18:1) for subcutaneous adipose and from 0.05 (conjugated linoleic acid, CLA) to 0.61 (c14:0) for striploin. Averaged across all traits, the GBLUP and Bayesian methods achieved an accuracy of 0.33 and 0.39 for striploin and 0.29 and 0.31 for subcutaneous adipose, respectively. Specifically, for CLA, trans vaccenic acid (11t-C18:1) and polyunsaturated fatty acids (PUFA), which have potential benefits to human health, the accuracy of genomic prediction using GBLUP (Bayesian in parenthesis) method was 0.06 (0.05), 0.31 (0.29), and 0.45 (0.45), respectively, for striploin, and 0.34 (0.33), 0.33 (0.33), and 0.35 (0.36) for subcutaneous adipose. The results suggest that genomic prediction has the potential to select genetically superior beef cattle to further enhance the healthfulness of beef. However, more studies are needed to improve the accuracy of genomic prediction for fatty acid composition.

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