Nutrient Digestion and Utilization in Farm Animals

Ermias Kebreab teaches at the University of California, Davis. James France

1: Introduction: History and Future Focus, J France, University ofGuelph, Canada 2: The Nordic Dairy Cow Model Karoline - Development of VolatileFatty Acid Sub-Model, J Sveinbjörnsson, P Huhtanen, MTT Afrifood Research Institute,Finland and P Udén, Swedish University of Agricultural Science 3: A Three-Compartment Model of Transmembrane Fluxes of Valineacross the Tissues of the Hindquarters of Growing Lambs Infectedwith Trichostrongylus colubriformis, N C Roy, AgResearch Ltd,Palmerston North, New Zealand, E N Bermingham and W C McNabb 4: Using Rumen Degradation Model to Evaluate Microbial ProteinYield and Intestinal Digestion of Grains in Cattle, P Paengkoum,Suranaree University of Technology, Thailand 5: Simulation of Rumen Particle Dynamics using a Non-Steady StateModel of Rumen Digestion and Nutrient Availability in Dairy CowsFed Sugarcane, E A Collao-Saenz, A Bannink, E Kebreab, University of Guelph, Canada, J France and J Dijkstra 5: Modelling Fluxes of Volatile Fatty Acids from Rumen to PortalBlood, P Nozière, INRA, France and T Hoch 6: The Role of Rumen Fill in Terminating Grazing Bouts of DairyCows under Continuous Stocking, H Z Taweel, WageningenUniversity, Netherlands, B M Tas, S Tamminga and J Dijkstra 7: Functions for Microbial Growth, S López, Universidad de Leon, Spain,M Prieto, J Dijkstra, E Kebreab, M S Dhanoa, Institute of Grassland& Environmental Research (IGER), Wales, UK and J France 8: Obtaining Information on Gastric Emptying Patterns in Horses fromAppearance of an Oral Acetaminophen Dose in Blood Plasma,J P Cant, University of Guelph, Canada, V N Walsh and R J Geor 9: A Model to Evaluate Beef Cow Efficiency, L O Tedeschi, CornellUniversity, USA, D G Fox, M J Baker and K L Long 10: Prediction of Energy Requirement for Growing Sheep with theCornell Net Carbohydrate and Protein System, A Cannas,Universita of Sassari, Italy, L O Tedeschi, A S Atzori and D G Fox 11: Prediction of Body Weight and Composition from Body DimensionMeasurements in Lactating Dairy Cows, T Yan, Agricultural ResearchInstitute, Hillsborough, Ireland, R E Agnew, C S Mayne andD C Patterson 12: Relationships between Body Composition and UltrasonicMeasurements in Lactating Dairy Cows, R E Agnew, T Yan,D C Patterson and C S Mayne 13: Empirical Model of Dairy Cow Body Composition, O Martin,INRA, UMR Physiology de la Nutrition et Alimentation, France andD Sauvant, Institut National Agronomique Paris-Grignon, France 14: Simulating Chemical and Tissue Composition of the GrowingBeef Cattle: From the Model to the Tool, T Hoch, Ph Pradel,P Champciaux and J Agabriel, INRA, France 15: Representation of Fat and Protein Gain at Low Levels of Growth and Improved Prediction of Variable Maintenance Requirement in a Ruminant Growth and Composition Model, J W Oltjen,R D Sainz, A B Pleasants, T K Sobolevaand V H Oddy 16: Growth Patterns of Nellore vs. British Beef Cattle Breeds Assessedusing a Dynamic, Mechanistic Model of Cattle Growth andComposition, R D Sainz, L G Barioni, Embrapa Cerrados, Brazil,P V Paulino, S C Valadares Filho and J W Oltjen 17: A Kinetic Model of Phosphorus Metabolism in Growing Sheep,R Souza Dias ,Center for Nuclear Energy in Agriculture, Brazil,A P Roque, V F Nascimento Filho, D M S S Vitti and I C S Bueno 18: Dynamic Simulation of Phosphorus Utilization in Salmonid Fish,K Hua, University of Guelph, Canada, J P Cant and D P Bureau 19: Development of a Dynamic Model of Ca and P Flows in Layers,J Dijkstra, E Kebreab, R P Kwakkel and J France 20: Estimating the Risk of Hypomagnesaemic Tetany in Dairy Herds,S T Bell, A E McKinnon, Lincoln University, New Zealand and A R Sykes 21: Modelling the Effects of Environmental Stressors on ThePerformance of Growing Pigs: From Individuals to Populations,I J Wellock, Scottish Agricultural College, UK, G C Emmans and I Kyriazakis 22: Empirical Modelling Through Meta Analysis Vs MechanisticModelling, D Sauvant and O Martin 23: Iterative Development, Evaluation and Optimal Parameter Estimationof a Dynamic Simulation Model: A Case Study, L G Barioni,J W Oltjen and R D Sainz 24: Segmented, Constrained, Nonlinear, Multi-objective, DynamicOptimization Methodology Applied to the Dairy Cow RationFormulation Problem, R C Boston, University of Pennsylvania, USAand M D Hanigan, Land O Lakes, Missouri, USA 25: A Model to Simulate the Effects of Different Dietary Strategieson the Sustainability of a Dairy Farm System, A del Prado, Instituteof Grassland and Environmental Research (IGER), UK, D Scholefieldand L Brown 26: Advantages of a Dynamical Approach to Rumen Function to HelpResolve Environmental Issues, A Bannink, J Dijkstra, E Kebreaband J France 27: Evaluation of Models to Predict Methane Emissions from EntericFermentation in North American Dairy Cattle, E Kebreab, J France,B W McBride, N Odongo, A Bannink, J A N Mills and J Dijkstra 28: Investigating Daily Changes in Food Intake by Ruminants,G McL Dryden 29: An Ingredient-Based Input Scheme for Molly, M D Hanigan,H G Bateman, J G Fadel, University of California, USA,J P McNamara and N E Smith 30: Metabolic Control: Improvement of a Dynamic Model ofLactational Metabolism in Early Lactation, J McNamara 31: Rostock Feed Evaluation System - An Example of theTransformation of Energy and Nutrient Utilization Models to Practical Application, A Chudy, FBN / Degussa, Germany 32: The Nordic Dairy Cow Model Karoline - Model Description,A Danfær, P Huhtanen, P Udén, J Sveinbjörnsson and H Volden,Agricultural University of Norway, Norway 33: The Nordic Dairy Cow Model KAROLINE - Model Evaluation,A Danfær, P Huhtanen, P Udén, J Sveinbjörnsson and H Volden 34: A composite model of growth, pregnancy and lactation,K Vetharaniam, AgResearch Limited, New Zealand