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Abstracts & Presentations

  • 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

  • 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, 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

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