Modelling Nutrient Digestion and Utilisation in Farm Animals

Table of Contents:
Preface. Part 1 -- Advances in methodological aspects of modeling. A generic framework for simulating agricultural production systems; R. Martin-Clouaire, J.-P. Rellier. Population based growth curve analysis: a comparison between models based on ordinary or stochastic differential equations implemented in a nonlinear mixed effect framework; A.B. Strathe et al. Regression procedures for relationships between random variables; M.S. Dhanoa et al. Extracting biologically meaningful features from time-series measurements of individual animals: towards quantitative description of animal status; N.C. Friggens et al. Turning a cow into a goat with a teleonomic model of lifetime performance; O. Martin, D. Sauvant. Techniques to facilitate metabolic modeling with reference to dairy cows; R.C. Boston et al. Implementation of a genetic algorithm for optimization within the Cornell Net Carbohydrate and Protein System framework; T.P. Tylutki et al. Assessing and optimizing the performance of a mechanistic mathematical model of the sheep mammary gland; C. Dimauro et al. A new development in pig growth modeling; P.C.H. Morel et al. Identifiability and accuracy: a closer look at contemporary contributions and changes in these vital areas of mathematical modeling; L.O. Tedeschi, R. Boston. Part 2 -- Modeling feeding behavior and regulation of feed intake. Modeling short-term feeding behavior; B.J. Tolkamp et al. A new Nordic structure evaluation systems for diets fed to dairy cows: a meta analysis; P. Norgaard et al. Modeling within-day variability in feeding behavior in relation to rumen pH: application to dairy goats receiving an acidogenic diet; S. Giger-Reverdin et al. Modeling of the effects of heat stress on some feeding behavior and physiological parameters in cows; T. Najar et al. Part 3 -- Modeling fermentation, digestion and microbial interactions in the gut. A generic multi-stage compartmental model for interpreting gas production profiles; S. Lopez et al. A mechanistic model of pH and gas exchanges in the rumen and its in vitro application; A. Serment, D. Sauvant. Modeling rumen volatile fatty acids and its evaluation on net portal fluxes in ruminants; P. Noziere et al. Representing tissue mass and morphology in mechanistic models of digestive function in ruminants; A. Bannink et al. Fluctuations in methane emission in response to feeding pattern in lactating dairy cows; L.A. Crompton et al. Prediction of methane production in beef cattle within a mechanistic digestion model; J.L. Ellis et al. Relationship between passage rate and extrinsic diet characteristics derived from rumen evacuation studies performed with dairy cows; S. Krizsan et al. Ability of mathematical models to predict faecal output with a pulse dose of an external marker in sheep and goat; A. Moharrery. Part 4 -- Modeling interactions between nutrients and physiological functions: consequence on product quality and animal health. Dynamic modeling of contractile and metabolic properties of bovine muscle; N.M. Schreurs et al. An isotope dilution model for partitioning phenylalanine uptake by the liver of lactating dairy cows; L.A. Crompton et al. Modeling the effects of insulin and amino acids on the phosphorylation of mTOR, Akt, and 4EBP1 in mammary cells; J.A.D.R.N. Appuhamy, M.D. Hanigan. From metabolisable energy to energy of absorbed nutrients: quantitative comparison of models; C. Loncke et al. Developemtn of a heat balance model for cattle under hot conditions; V.A. Thompson et al. An interactive, mechanistic nutrition model to determine energy efficiency of lactating dairy cows; L.O. Tedeschi et al. The development and evaluation of the Small Ruminant Nutrition System; A. Cannas et al. A model of phosphorus metabolism in growing sheep; R.S. Dias et al. A generic stoichiometric model to analyse the metabolic flexibility of the mammary gland in lactating dairy cows; S. Lemosquet et al. Model development of nutrient utilization to represent poultry growth dynamics: application to the turkey; V. Rivera-Torres et al. Modeling energy utilization in poultry; N.K. Sakomura et al. Model to estimate lysine requirements of broilers; J.C. Siqueira et al. Prediction of Nellore empty body composition using indirect measurements; M.I. Marcondes et al. Part 5 -- Extrapolating from the animal to the herd. Precision feeding can significantly reduce feeding cost and nutrient excretion in growing animals; C. Pomar et al. A herd modeling approach to determine the economically and environmentally most interesting dietary amino acid level during the fattening period; L. Brossard et al. Evaluation of two feeding strategies with a herd model integrating individual variability; L. Puillet et al. SIMBAL: a herd simulator for beef cattle; L. Perochon et al. Modeling the impacts of climate change on suckling grass-based systems with the Pasture Simulation Model; A.-I. Graux et al. Part 6 -- Modeling the environmental impact of animal production. The fate of dietary phosphorus in the digestive tract of growing pigs and broilers; M.P. Letourneau-Montminy et al. Modeling the profile of growth in monogastric animals; E. Kebreab et al. Effects of nutritional strategies on simulated nitrogen excretion and methane emission in dairy cattle; J. Dijkstra et al. A whole farm-model to simulate the environmental impacts of animal farming systems: MELODIE; X. Chardon et al. Development and validation of a biophysical model of enteric methane emissions from Australian beef feedlots; S.K. Muir et al. Index.