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Skip to Search Results- 2Basarab, John A.
- 2Stothard, Paul
- 1Aalhus, Jennifer L.
- 1Baron, Vern S.
- 1Beauchemin, Karen A.
- 1Cai, Zhipeng
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2012
Wang, Lusheng, Moore, Steve S., Cai, Zhipeng, Goebel, Randy, Lin, Guohui, Wang, Yining, Stothard, Paul
Background Single nucleotide polymorphism (SNP) genotyping assays normally give rise to certain percents of no-calls; the problem becomes severe when the target organisms, such as cattle, do not have a high resolution genomic sequence. Missing SNP genotypes, when related to target traits, would...
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Genome-wide association and genomic prediction of breeding values for fatty acid composition in subcutaneous adipose and longissimus lumborum muscle of beef cattle
Download2015
Ekine-Dzivenu, Chinyere, Basarab, John A., Li, Changxi, Chen, Liuhong, Vinsky, Michael D., Aalhus, Jennifer L., Fitzsimmons, Carolyn J., Stothard, Paul, Dugan, Mike E. R.
Background Identification of genetic variants that are associated with fatty acid composition in beef will enhance our understanding of host genetic influence on the trait and also allow for more effective improvement of beef fatty acid profiles through genomic selection and marker-assisted diet...
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Reducing GHG emissions through genetic improvement for feed efficiency: Effects on economically important traits and enteric methane production
Download2013
Baron, Vern S., Ominski, Kim H., Guan, Leluo, Basarab, John A., Beauchemin, Karen A., Miller, Stephen P.
Genetic selection for residual feed intake (RFI) is an indirect approach for reducing enteric methane (CH4) emissions in beef and dairy cattle. RFI is moderately heritable (0.26 to 0.43), moderately repeatable across diets (0.33 to 0.67) and independent of body size and production, and when...