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Peer-Reviewed Papers
- Tran, H., A. Schlageter-Tello, A. Caprez, P. S. Millerm M. B. Hall, W. P. Weiss, and P. J. Kononoff. 2020. Development of feed composition tables using a statistical screening procedure. J. Dairy Sci. 103:P3786-3803. doi:10.3168/jds.2019-16702
- Schlageter-Tello, A., G. C. Fahey, T. Freel, L. Koutsos, P. S. Miller, and W. P. Weiss. 2020. ASAS-NANP Symposium: Ruminant/Nonruminant Feed Composition: Challenges and opportunities associated with creating large feed ingredient composition tables. J. Anim. Sci. 98. doi:10.1093/jas/skaa240
- Menendez III, H. M. and L. O. Tedeschi. 2020. The characterization of the cow-calf, stocker and feedlot cattle industry water footprint to assess the impact of livestock water use sustainability. J. Agric. Sci. doi:10.1017/S0021859620000672
- Mark D. Hanigan and Veridiana L. Daley. 2020. Use of Mechanistic Nutrition Models to Identify Sustainable Food Animal Production. Annu. Rev. Anim. Biosci. 8:355-376. doi:10.1146/annurev-animal-021419-083913
- Daley, V. L., L. E. Armentano, P. J. Kononoff, and M. D. Hanigan. 2019. Modeling fatty acids for dairy cattle: models to predict total fatty acid concentration and fatty acid digestion of feedstuffs. J. Dairy Sci. 103:6982-6999. doi:10.3168/jds.2019-17407
- C.F Nicholson, A.R.P. Simões, P.A. LaPierre, M.E. Van Amburgh. 2019. ASN-ASAS Symposium: Future of Data Analytics in Nutrition: Modeling complex problems with system dynamics: applications in animal agriculture. J. Anim. Sci. 97:1903–1920. doi:10.1093/jas/skz105
- L.O. Tedeschi. ASN-ASAS Symposium: Future of Data Analytics in Nutrition: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models, and thoughts for upcoming predictive analytics. J. Anim. Sci. 7:1921–1944. doi:10.1093/jas/skz092
- Daley, V. L., Dye, C., Bogers, S. H., Akers, R. M., Rodriguez, F. C., Cant, J. P., Doelman, J., Yoder, P., Kumar, K., Webster, D., Hanigan, M. D. 2018. Bovine mammary gland biopsy techniques. J. Vis. Exp. 142:e58602. doi:10.3791/58602.
- R. R. White, Y. Roman-Garcia, J. L. Firkins, P. Kononoff, M.J. VandeHaar, H. Tran, T. McGill, R. Garnett, M.D. Hanigan. 2017. Evaluation of the National Research Council (2001) dairy model and derivation of new prediction equations. 2. Rumen degradable and undegradable protein. J. Dairy Sci. 100:3611-3627. doi:10.3168/jds.2015-10801
- R. R. White, Y. Roman-Garcia, J. L. Firkins, M.J. VandeHaar, L.E. Armentano, W.P. Weiss, T. McGill, R. Garnett, M.D. Hanigan. 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. J. Dairy Sci. 100:3591-3610. doi:10.3168/jds.2015-10800
- J. P. McNamara, M. D. Hanigan, R. R. White. 2016. Invited review: Experimental design, data reporting, and sharing in support of animal systems modeling research. J. Dairy Sci. 99:9355–9371. doi:10.3168/jds.2015-10303
- R. R. White, Y. Roman-Garcia, J. L. Firkins. 2016. Meta-analysis of postruminal microbial nitrogen flows in dairy cattle. II. Approaches to and implications of more mechanistic prediction. J. Dairy Sci. 99:7932-7944. doi:10.3168/jds.2015-10662
- Y. Roman-Garcia, R. R. White, J. L. Firkins. 2016. Meta-analysis of postruminal microbial nitrogen flows in dairy cattle. I. Derivation of equations. J. Dairy Sci. 99:7918-7931. doi:10.3168/jds.2015-10661
- R.R. White, M.D. Hanigan. 2016. Modeling cross species intake responses to environmental stress. J. Agric. Sci. 154:136-150. doi:10.1017/S0021859615001033
- R. R. White, P. S. Miller, M. D. Hanigan. 2015. Evaluating equations estimating change in swine feed intake during heat and cold stress. J. Anim. Sci. 93:5395–5410. doi:10.2527/jas2015-9220