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Skip to Search Results- 4Candidate genes
- 3Single nucleotide polymorphisms
- 2Beef cattle
- 2Residual feed intake
- 1Association analyses
- 1Body fat deposition
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Association analyses of a SNP in the promoter of OLR1 with growth, feed efficiency, fat deposition, and carcass merit traits in hybrid, Angus and Charolais beef cattle
Download2013
Chen, L., Islam K., Li, C., Vinsky, M.
A single nucleotide polymorphism (SNP) in the promoter region of oxidized low density lipoprotein (lectin-like) receptor 1 (OLR1) (c. −495 T>C) was identified and analyzed for associations with 10 traits related to growth, feed efficiency, body fat deposition and carcass merit traits in hybrid...
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Association analyses of SNPs in candidate genes with body fat deposition and carcass merit traits in beef cattle
DownloadFall 2009
A candidate gene approach was used to identify single nucleotide polymorphisms (SNPs) and their associations with body fat deposition and carcass merit traits in beef cattle. In total, 37 SNPs from 9 candidate genes have been genotyped on 463 hybrid, 206 Angus and 187 Charolais steers for...
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CANDIDATE GENES, METABOLITES AND BIOLOGICAL PATHWAYS ASSOCIATED WITH RESIDUAL FEED INTAKE AND CARCASS QUALITY IN BEEF CATTLE
DownloadFall 2013
The main objective of this study was to identify genes, DNA variants and plasma metabolites associated with residual feed intake (RFI) in beef cattle. In the first study, a total of 117 SNPs were selected and genotyped in 531 steers at the University of Alberta. The population was split into a...
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Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle
Download2014
Squires, J. J., Moore, S., Stothard, P., Swanson, K. C., Miller, S. P., Abo-Ismail, M. K., Vander Voort, G., Liao, X., Plastow, G., Mandell, I. B.
Background This study was conducted to: (1) identify new SNPs for residual feed intake (RFI) and performance traits within candidate genes identified in a genome wide association study (GWAS); (2) estimate the proportion of variation in RFI explained by the detected SNPs; (3) estimate the...