Title |
QTLs associated with dry matter intake, metabolic mid-test weight, growth and feed efficiency have little overlap across 4 beef cattle studies
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Published in |
BMC Genomics, November 2014
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DOI | 10.1186/1471-2164-15-1004 |
Pubmed ID | |
Authors |
Mahdi Saatchi, Jonathan E Beever, Jared E Decker, Dan B Faulkner, Harvey C Freetly, Stephanie L Hansen, Helen Yampara-Iquise, Kristen A Johnson, Stephen D Kachman, Monty S Kerley, JaeWoo Kim, Daniel D Loy, Elisa Marques, Holly L Neibergs, E John Pollak, Robert D Schnabel, Christopher M Seabury, Daniel W Shike, Warren M Snelling, Matthew L Spangler, Robert L Weaber, Dorian J Garrick, Jeremy F Taylor |
Abstract |
The identification of genetic markers associated with complex traits that are expensive to record such as feed intake or feed efficiency would allow these traits to be included in selection programs. To identify large-effect QTL, we performed a series of genome-wide association studies and functional analyses using 50 K and 770 K SNP genotypes scored in 5,133 animals from 4 independent beef cattle populations (Cycle VII, Angus, Hereford and Simmental×Angus) with phenotypes for average daily gain, dry matter intake, metabolic mid-test body weight and residual feed intake. |
X Demographics
Geographical breakdown
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
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United States | 2 | 2% |
Colombia | 1 | 1% |
Argentina | 1 | 1% |
Unknown | 91 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 17 | 18% |
Student > Ph. D. Student | 15 | 16% |
Researcher | 14 | 15% |
Student > Bachelor | 7 | 7% |
Professor > Associate Professor | 6 | 6% |
Other | 18 | 19% |
Unknown | 18 | 19% |
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Biochemistry, Genetics and Molecular Biology | 5 | 5% |
Veterinary Science and Veterinary Medicine | 3 | 3% |
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Social Sciences | 1 | 1% |
Other | 2 | 2% |
Unknown | 26 | 27% |