- H.Y. Loh, O. Renn, M.G. Maquivar, N.A. Irlbeck, and T.E. Engle. 2023. PSV-13 Characterization of the relative abundance of duodenal mrna related to genes involved in copper absorption in different breeds of sheep. J. Anim. Sci. 101 (Suppl. 3):399. doi 10.1093/jas/skad281.474
- V.L. Daley, M.P. Reis, L.V.F.M. Carvalho, P. Ferket, N.K. Sakomura, M.D. Hanigan. 2019. Digestible lysine requirement of broilers: Model evaluation and development of a Shiny online application in R. Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT). Brazil.
Presentation - T.F.V. Bompadre, M.D. Hanigan, V.L. Daley, L.M. Campos, A.L. Abdalla, H. Louvandini. 2019. Model of phosphorus flux and excretion in growing lambs. 2019 Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT). Brazil.
- Prestegaard, J. A, V.L. Daley, M.D. Hanigan. 2019. Optimizer use in a commercial ration balancing software can reduce diet costs as compared to those of dairy nutritionists in the mid-Atlantic region. Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT). Brazil.
- M.D. Hanigan, S. J. R. Woodward, M.M. Li, V. L. Daley, T. J. Hackman, P. C. Beukes. Molly at 32: what works and what does not.Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT). Brazil.
- V.L. Daley, M.D. Hanigan. Prediction of total milk fat of dairy cows: A multi-model approach. 2019. 6th EAAP International Symposium on Energy and Protein Metabolism and Nutrition (ISEP). "Energy and protein metabolism and nutrition in relation to sustainable livestock intensification". Brazil.
Presentation
V.L. Daley, T. F. V. BomPadre, M.D. Hanigan. 2019. Effects of absorbed amino acids on the milk fat yield: A meta-analytic approach. J. Dairy Sci. Vol. 102, Suppl. 1, p. 77.
Prestegaard, J. A, V.L. Daley, M.D. Hanigan. 2019. A survey of U.S. dairy nutritionist perceptions and methods of balancing lower crude protein rations for lactating cows. J. Dairy Sci. Vol. 102, Suppl. 1, p. 102.
M. S. Edwards, A. Schlageter-Tello. 2019. National Animal Nutrition Program: Feed Ingredient Nutrient Composition – What’s in it for Equids? Equine Science Society Symposium. 3 - 6 June, Asheville, North Carolina, USA
DocumentEdwards_ESS_20190605 (002).pdf (1.92 MB)
- A. Schlageter-Tello, R. N. Dilger, P. S. Miller. 2019. National Animal Nutrition Program: Development of online feed composition tables. Multi-State Poultry Feeding and Nutrition Conference and Silvateam’s Technical Symposium, 21 – 23 May 2019, Indianapolis, Indiana
- V.L. Daley, J.K. Drackley, C.M.M. Bittar, L.O. Tedeschi, S.Y. Morrison, P.A. LaPierre, M.D. Hanigan. 2018. Estimation of starter intake in young dairy calves during the preweaning phase. Journal of Dairy Science. 101, Suppl. 2, p. 260
- V.L. Daley, L.E. Armentano, P.J. Kononoff, J.M. Prestegaard, M.D. Hanigan. 2018. Estimation of total fatty acid content and composition of feedstuffs for dairy cattle. Journal of Dairy Science. 101, Suppl. 2, p. 295
- V.L. Daley, L.E. Armentano, P.J. Kononoff, J.M. Prestegaard, M.D. Hanigan. 2018. Fatty acid digestion in dairy cows fed different fat sources: A meta-analytic approach. Journal of Dairy Science. 101, Suppl. 2, p. 304
- V.L. Daley, L.E. Armentano, M.D. Hanigan. 2018. Modeling fatty acids for dairy cattle: digestion and milk fat secretion. 2018. Annual Meeting of the Animal Science Modeling Group, June 23, Knoxville, Tennessee
- K.A. Beauchemin, G. E. Erickson, H. Tran, J.S. Caton, N.A. Cole, J.H. Eisemann, T.E. Engle, M.L. Galyean. 2016. The 8th Revised Edition of the Nutrient Requirements of Beef Cattle: Byproducts and feed composition. Journal of Animal Science. 94, Suppl. 5/Journal or Dairy Science. 99, Suppl. 1 p. 492
- Beckett,L, R. R. White, and M. D. 2016. Hanigan. Evaluating the effects of heat stress on rumen pH and temperature. Journal of Animal Science. 94, Suppl. 5/Journal or Dairy Science. 99, Suppl. 1. p.22
- Roman-Garcia, Y., R.R. White, J.L. Firkins. 2016. Meta-analysis of postruminal microbial nitrogen flows in dairy cattle. Journal of Animal Science. 94, Suppl. 5/Journal or Dairy Science. 99, Suppl. 1 p. 355
- Tedeschi, L., R. R. White, C. F. Nicholson, B. L. Turner, M. A. Fonseca, M. D. Hanigan. 2016. Traditional versus structure-based model development strategies. Journal of Animal Science. 94, Suppl. 5/Journal or Dairy Science. 99, Suppl. 1, p. 613
- H. Tran, A. Caprez, P. J. Kononoff, P.S. Miller, W. P. Weiss. 2016. Automation of statistical procedures to screen raw data and construct feed composition databases. Journal of Animal Science. 94, Suppl. 5/Journal or Dairy Science. 99, Suppl. 1 p. 670
- H. Tran, W.P. Weiss, G. Erickson, P.S. Miller. 2015. Identification and removal of outliers in feed databases for beef cattle. Journal of Animal Science 93, Suppl. s3, p.442
- C.R. Angel, M.D. Hanigan, E. Kebreab, B. Kerr, J.P. McNamara, N. Trottier, L.O.Tedeschi, M.J. Vandehaar, R.R. White. 2015. Experimental design and data-reporting needs to help support the advancement of nutrition research and nutrient requirement models. Journal of Animal Science. 93, Suppl. s3, p.477-478
- R.R. White. T.J. Applegate, G.L. Cromwell, D.C. Beitz, M.L. Galyean, M.B. Hall, P.S. Miller, J. Odle, W.P. Weiss, M.D. Hanigan. 2015. Global impact of improving feed efficiency and technology transfer efficacy. Journal of Animal Science. 93, Suppl. s3, p.599
- R.R. White, M.D. Hanigan. 2015. Cross-species intake responses to temperature stress. Journal of Animal Science. 94, Suppl. 5, p. 715.
- White, R. and M.D. Hanigan. A multi-objective diet optimization to reduce land, water, and greenhouse gas emissions from US dairy production. J. Anim. Sci. Vol. 93, Suppl. s3/J. Dairy Sci. Vol. 98, Suppl. 2, p. 716
- J.C.Castro-Marquez, R.R. White, M.D. Hanigan. 2015. Pre-weaning calf responses to lysine, 1: Development and evaluation of functions explaining nitrogen retention responses to dietary lysine and body weight. Journal of Dairy Science. 98, Suppl. 2, p 743
- R.R. White, J.C. Castro-Marquez, and M.D. Hanigan. 2015. Pre-weaning calf responses to lysine, 2: Sensitivity and optimization of nitrogen retention responses to dietary lysine and body weight. Journal of Dairy Science. 98, Suppl. 2, p 744
- White, R.R., M.D. Hanigan and L.O. Tedeschi. 2015. Comparing meta-regression, weighted least-square regression, and orthogonal regression for quantitative literature summary. Animal Science Modelers Meeting. July 11th, 2015. Orlando, Florida
- Roche, J.R., E, N.A. Dennis, K.A. Macdonala, C.V.C. Phyn, P.R. Amer, R.R. White, J.K. Drackley. 2014. Heifer rearing to optimize farm profitability. Proceedings of the 5th Australasian Dairy Science Symposium
- R.R. White, M.D. Hanigan. 2014. Environmental stress effects on swine feed intake. 8th International Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals. September 15th - 17th. Cairns, QLD, Australia
- R.R. White, M.D. Hanigan. 2014. Environmental stress effects on swine maintenance energy requirements. 8th International Workshop on Modeling Nutrient Digestion and Utilization in Farm Animals. September 15th - 17th. Cairns, QLD, Australia
- Cromwell, G.L., T.J. Applegate, D.C. Beitz, M.L. Galyean, M.B. Hall, M.D. Hanigan, J. Odle, W.P. Weiss, C. Kirk Baer. 2014. The National Animal Nutrition Program. 2014. Update. Comparative Animal Nutrition Conference, August 1st - 5th 2014, Flat Rock, North Carolina
- M.D. Hanigan, C.R. Angel, C.F.M. de Lange, E. Kebreab, J.P. McNamara, L.O. Tedeschi, N.L. Trottier, M.J. VandeHaar. 2013. The National Animal Nutrition Program (NANP): Modeling Subcommittee goals and progress. Journal of Animal Science. 91, E-Suppl. 2, p. 21-22
- G.L. Cromwell, T.J. Applegate, D.C. Beitz, M.L. Galyean, M.B. Hall, M.D. Hanigan, J. Odle, W.P. Weiss, C. Kirk Baer. 2013. The National Animal Nutrition Program. Journal of Animal Science. 91, E-Suppl. 2, p. 103
- P. S. Miller, R. N. Dilger, W. P. Dozier, M. B. Hall, A. N. Hristov, V. R. Moreira, M. L. Nelson, N. R. St-Pierre, and W. P. Weiss. 2013. The National Animal Nutrition Program: Feed composition committee. J. Anim. Sci. Vol. 91, E-Suppl. 2/J. Dairy Sci. Vol. 96, E-Suppl. 1. p. 103