Louis E. Armentano
Affiliations: | Dairy Science | University of Wisconsin, Madison, Madison, WI |
Area:
Ruminant nutritional physiologyWebsite:
https://nutrisci.wisc.edu/louis-e-armentano/Google:
"Louis E. Armentano"Bio:
https://dysci.wisc.edu/faculty/lou-armentano/
Armentano, Louis, Effects of monensin on volatile fatty acid kinetics in steers
(1982). Retrospective Theses and Dissertations. 7023.
https://lib.dr.iastate.edu/rtd/7023
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Parents
Sign in to add mentor| Jerry Wesley Young | grad student | 1982 | Iowa State | |
| (Effects of monensin on volatile fatty acid kinetics in steers.) | ||||
Children
Sign in to add trainee| Shawn Scott Donkin | grad student | 1992 | UW Madison |
| Claudia Leonardi | grad student | 2004 | UW Madison |
| Tanya F. Gressley | grad student | 2005 | UW Madison |
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Publications
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| Daley VL, Armentano LE, Kononoff PJ, et al. (2020) Modeling fatty acids for dairy cattle: Models to predict total fatty acid concentration and fatty acid digestion of feedstuffs. Journal of Dairy Science. 103: 6982-6999 |
| Weld KA, Armentano LE. (2018) Feeding high oleic acid soybeans in place of conventional soybeans increases milk fat concentration. Journal of Dairy Science. 101: 9768-9776 |
| Dórea JRR, Rosa GJM, Weld KA, et al. (2018) Mining data from milk infrared spectroscopy to improve feed intake predictions in lactating dairy cows. Journal of Dairy Science |
| Hardie LC, VandeHaar MJ, Tempelman RJ, et al. (2017) The genetic and biological basis of feed efficiency in mid-lactation Holstein dairy cows. Journal of Dairy Science |
| Dórea JRR, French EA, Armentano LE. (2017) Use of milk fatty acids to estimate plasma nonesterified fatty acid concentrations as an indicator of animal energy balance. Journal of Dairy Science. 100: 6164-6176 |
| Rathbun FM, Pralle RS, Bertics SJ, et al. (2017) Relationships between body condition score change, prior mid-lactation phenotypic residual feed intake, and hyperketonemia onset in transition dairy cows. Journal of Dairy Science |
| White RR, Roman-Garcia Y, Firkins JL, et al. (2017) Evaluation of the National Research Council (2001) dairy model and derivation of new prediction equations. 1. Digestibility of fiber, fat, protein, and nonfiber carbohydrate. Journal of Dairy Science |
| Yao C, de Los Campos G, VandeHaar MJ, et al. (2017) Use of genotype × environment interaction model to accommodate genetic heterogeneity for residual feed intake, dry matter intake, net energy in milk, and metabolic body weight in dairy cattle. Journal of Dairy Science |
| Weld KA, Armentano LE. (2017) The effects of adding fat to diets of lactating dairy cows on total-tract neutral detergent fiber digestibility: A meta-analysis. Journal of Dairy Science. 100: 1766-1779 |
| Lu Y, Vandehaar MJ, Spurlock DM, et al. (2016) Modeling genetic and nongenetic variation of feed efficiency and its partial relationships between component traits as a function of management and environmental factors. Journal of Dairy Science |