S
Stephen P. Miller
Researcher at University of Guelph
Publications - 153
Citations - 3893
Stephen P. Miller is an academic researcher from University of Guelph. The author has contributed to research in topics: Population & Residual feed intake. The author has an hindex of 32, co-authored 147 publications receiving 3294 citations. Previous affiliations of Stephen P. Miller include City University of New York & AgResearch.
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Journal ArticleDOI
Association of a single nucleotide polymorphism in the calpastatin gene with carcass and meat quality traits of beef cattle.
Flavio S Schenkel,Stephen P. Miller,X. Ye,Stephen S. Moore,J. D. Nkrumah,Changxi Li,Jody Yu,Ira B Mandell,J. W. Wilton,John L. Williams +9 more
TL;DR: The CAST SNP allele C was associated with increased LM tenderness across days of postmortem aging and, importantly for the beef industry, had a significant reduction in the percentage of steaks rated unacceptably tough by consumers based on an assumed threshold level.
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Genetic parameters and breed differences for feed efficiency, growth, and body composition traits of young beef bulls
TL;DR: Genetic associations between feed efficiency, growth, and live ultrasound measured body composition traits were studied in purebred beef bulls of six breeds in Ontario bull test stations from 1991 to 2000.
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Reducing GHG emissions through genetic improvement for feed efficiency: effects on economically important traits and enteric methane production
John A. Basarab,Karen A. Beauchemin,Vern S. Baron,K. H. Ominski,Le Luo Guan,Stephen P. Miller,J. J. Crowley +6 more
TL;DR: Genetic selection for residual feed intake is an indirect approach for reducing enteric methane (CH4) emissions in beef and dairy cattle and is expected to improve feed efficiency and reduce enteric CH4 emissions from cattle by 0.75% to 1.0% per year at equal levels of body size, growth and body fatness.
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Assessing feed efficiency in beef steers through feeding behavior, infrared thermography and glucocorticoids
Y. R. Montanholi,Kendall C Swanson,Rupert Palme,Flavio S Schenkel,Brian W. McBride,Duc Lu,Stephen P. Miller +6 more
TL;DR: Feed behavior, IR thermography and glucocorticoids accounted for 18%, 59% and 7% of the total variation associated with RFI, respectively, and these classes of traits have usefulness in the indirect assessment of feed efficiency in cattle.
Journal ArticleDOI
Application of infrared thermography as an indicator of heat and methane production and its use in the study of skin temperature in response to physiological events in dairy cattle (Bos taurus)
Y. R. Montanholi,Nicholas E. Odongo,Kendall C Swanson,Flavio S Schenkel,Brian W. McBride,Stephen P. Miller +5 more
TL;DR: In this article, the authors used infrared thermography to predict heat and methane production in dairy cattle. But they did not detect physiological events (e.g., heat increment of feeding) in cows.