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