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Skip to Search Results- 3Beef cattle
- 3Carcass traits
- 2Single nucleotide polymorphisms
- 1Accuracy
- 1Candidate genes
- 1Feed efficiency
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2011
Plastow, G., Durunna, O. N., Stothard, P., Mujibi, F. D. N., Moore, S. S., Wang, Z., Basarab, J. A., Nkrumah, D. J., Crews Jr, D. H., Mah, J.
The benefit of using genomic breeding values (GEBV) in predicting ADG, DMI, and residual feed intake for an admixed population was investigated. Phenotypic data consisting of individual daily feed intake measurements for 721 beef cattle steers tested over 5 yr was available for analysis. The...
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Candidate genes and biological pathways associated with carcass quality traits in beef cattle
Download2013
Karisa, B. K., Bruce, H. L., Plastow, G. S., Moore, S. S., Thomson, J., Wang, Z.
The objective of this study was to use the candidate gene approach to identify the genes associated with carcass quality traits in beef cattle steers at the University of Alberta Ranch at Kinsella, Canada. This approach involved identifying positional candidate genes and prioritizing them...
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Developing a genome-wide selection model for genetic improvement of residual feed intake and carcass merit in a beef cattle breeding program
Download2012
Lai, S., Plastow, G., Zeng, Z., Li, X., Ma, J., Tang, G., Moore, S., Wang, Z.
Residual feed intake (RFI) and carcass merit (CM) are both complex traits emerging as critical targets for beef genetic improvement. RFI and CM traits are difficult and expensive to measure and genetic improvement for these traits through traditional selection methods is not very effective....
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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...