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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...
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Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range
Download2015
Cox, Faith, Janssen, Peter H., Henderson, Gemma, Jonker, Arjan, Young, Wayne, Ganesh, Siva
Ruminant livestock are important sources of human food and global greenhouse gas emissions. Feed degradation and methane formation by ruminants rely on metabolic interactions between rumen microbes and affect ruminant productivity. Rumen and camelid foregut microbial community composition was...
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The isolation and characterization of two Stenotrophomonas maltophilia bacteriophages capable of cross-taxonomic order infectivity
Download2015
Lynch, Karlene H.Stothard, Paul, Peters, Danielle L., Dennis, Jonathan J.
Background A rapid worldwide increase in the number of human infections caused by the extremely antibiotic resistant bacterium Stenotrophomonas maltophilia is prompting alarm. One potential treatment solution to the current antibiotic resistance dilemma is “phage therapy”, the clinical...
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2015
Stothard, Paul, Wang, Yining, Lin, Guohui, Wylie, Tim
Background Despite ongoing reductions in the cost of sequencing technologies, whole genome SNP genotype imputation is often used as an alternative for obtaining abundant SNP genotypes for genome wide association studies. Several existing genotype imputation methods can be efficient for this...
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Whole-genome analyses of Korean native and Holstein cattle breeds by massively parallel sequencing
Download2014
Kim, Tae-Hun, Oh, Jae-Don, Han, Kwang-Jin, Choi, Jung-Woo, Choi, So-Young, Lee, Hak-Kyo, Stothard, Paul, Jeon, Heoyn-Jeong, Lee, Kyung-Tai, Lee, Jeong-Koo, Jeong, Dongkee, Kim, Namshin, Chung, Won-Hyong, Kim, Hyeong-Cheol, Liao, Xiaoping, Yang, Bokyoung, Miller, Stephen P., Lee, Sung-Jin
A main goal of cattle genomics is to identify DNA differences that account for variations in economically important traits. In this study, we performed whole-genome analyses of three important cattle breeds in Korea—Hanwoo, Jeju Heugu, and Korean Holstein—using the Illumina HiSeq 2000 sequencing...