09/30/2016

2016. Tran, A. Caprez, P. Kononoff, P. S. Miller and W. Weiss. 2016. Automation of statistical procedures to screen raw data and construct feed composition databases. J. Anim. Sci. Col 94, E-Suppl. 5:670/ J. Dairy Sci. Vol. 99, E- Suppl. 1:670. 

2016. P. McNamara, M. D. Hanigan, and R. R. White. 2016. Experimental design, data reporting, and sharing in support of animal systems modeling research. J. Dairy Sci. 99 :9355–9371

12/20/2017

R. White, Y. Roman-Garcia, J. L. Firkins, M. J. VandeHaar, L. E. Armentano, W. P. Weiss, T. McGill, R. Garnett, and 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. doi: 10.3168/jds.2015-10800.

R. R. White, Y. Roman-Garcia, J. L. Firkins, P. Kononoff, M. J. VandeHaar, H. Tran, T. McGill, R. Garnett, and 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. doi: 10.3168/jds.2015-10801.

10/15/2018

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. Bovine Mammary Gland Biopsy Techniques. J. Vis. Exp. (142), e58602, doi:10.3791/58602 (2018).

Daley, V.L, 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. J. Dairy Sci. 101, Suppl. 2, p. 260.

Daley, V.L., 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. J. Dairy Sci. 101, Suppl. 2, p. 295.

Daley, V.L., 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. J. Dairy Sci. 101, Suppl. 2, p. 304.

Daley, V.L., 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.  

Hackmann, T., M.D. Hanigan, V.L. Daley. 2018. Workshop: National Animal Nutrition Program (NANP) Models. J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.

Hanigan, M. D., V. L. Daley, T. J Hackmann. 2018.  Introduction and model construction: Part II (exercises). J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.

Kebreab, E.. 2018. Model evaluation: Part I (lecture). J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.

Kebreab, E.. 2018. Model evaluation: Part II (exercises). J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.

White, R. R.. 2018. Meta-analysis: Part I (lecture). J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.

Liebe, D. M., R. R. White. 2018. Meta-analysis: Part II (exercises). J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.

Smith, S. I.,  M. A. Mirando, 2018. Opportunities for federal funding of modeling research. J. Dairy Sci. Vol. 101, Suppl. 2, p.1-2.

12/01/2019

Mark D. Hanigan and Veridiana L. Daley. Use of Mechanistic Nutrition Models to Identify Sustainable Food Animal Production. 2020. Annual Review of Animal Biosciences. Vol. 8, https://doi.org/10.1146/annurev-animal-021419-083913

C.F Nicholson, A.R.P. Simões, P.A. LaPierre, M.E. Van Amburgh. ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Modeling complex problems with system dynamics: applications in animal agriculture. Journal of Animal Science, v.97, Issue 5, May 2019, p.1903–1920, https://doi.org/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. Journal of Animal Science, v.7, Issue 5, May 2019, p.1921–1944, https://doi.org/10.1093/jas/skz092 

Trottier, N. L., and L. O. Tedeschi. 2019. Dietary nitrogen utilisation and prediction of amino acid requirements in equids. Anim. Prod. Sci. 59 (11):2057-2068. doi: 10.1071/AN19304

A. Schlageter-Tello, P. S. Miller. 2019. Creation of a feed composition database: Machine learning techniques for automated classification of corn grain products, preliminary results. ASAS-CSAS Annual Meeting and Trade Show, July 8th – 11th, Austin, TX.

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. June 3rd -6th, Asheville, North Carolina.

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, May 21st – 23th, Indianapolis, IN.

Schlageter-Tello, M. Hannas, J. Jespersen, K. Hahn, M. S. Rasheed, M. Oelschlager, L. Bauer, A. Bigge, D. Hanna, R.N. Dilger. 2019. Development of the feed composition tables for poultry species. International Production and Processing Expo (IPPE), February 12th – 14th, Atlanta, GA.

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

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.

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.

09/24/2020

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. 2020. Modeling fatty acids for dairy cattle: Models to predict total fatty acid concentration and fatty acid digestion of feedstuffs. J. Dairy Sci. 103:P6982-6999. 103:P3786-3803. Doi:10.3168/jds.2019-17407