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Nutrient digestion and utilization in farm animals: modelling approaches.

Book cover for Nutrient digestion and utilization in farm animals: modelling approaches.

Description

This book contains 34 chapters on nutrition physiology and presents scientific research in modelling nutrient digestion and utilization in domestic animals, including cattle, sheep, pigs, poultry and fishes. It is divided into 6 parts that cover fermentation, absorption and passage; growth and development; mineral metabolism; methodology and model development; environmental impacts and animal prod...

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Chapter 13 (Page no: 127)

Empirical model of dairy cow body composition.

The knowledge of body condition and dynamic body reserve changes in dairy cows is of major importance in the understanding of lactation processes. An empirical model of dairy cow chemical body composition was developed and fitted to literature data. This model was aimed at predicting the concentrations of fat, protein, water, and minerals in empty body weight (EBW; kg) in relation to body condition score (BCS) on a 0-5 scale. Data were available for 239 groups of 1-36 animals. Body composition data were determined by direct analysis, anatomical dissection and organ weighing, or by indirect analysis. The relationship between body fat (F; kg) and fat-free EBW (FFEBW; kg) was estimated with the sigmoidal model of Richards (1959), where the asymptote was assumed to be linearly dependent on BCS. This model, selected for its flexibility, was fitted to the data in two steps. First, the model was fitted to mean values of F by classes of FFEBW [<50, (50-100), ..., (400-450), ≥450] assuming that these intraclass values were representative of a mean BCS (∼2.5). Second, the asymptotic parameter of the Richards model was re-evaluated on each data-set for which BCS was available. The model finally obtained was F={[117.4+39.8 (BCS-2.5)] × [1-exp (-0.0068FFEBW)]3.7235} with an estimated root mean squared prediction error (RMSPE) of 20 kg. This model was not usable as such (since FFEBW=EBW - F) but, given EBW and BCS, the EB fat was the numerical solution of this equation. The ratios of body water (W; kg) to FFEBW, body protein (P; kg) and body minerals (M; kg) to dry FFEBW (DFFEBW=FFEBW - W; kg) as well as their standard errors were estimated by bootstrap analysis on data limited to direct analysis: 100 W/FFEBW=72.6±0.1% (n=169), 100P/DFFEBW=78.9±0.1% (n=164) and 100M/DFFEBW=21.0±0.1% (n=164). The complete chemical body composition of a cow (EBW=F+P+W+M) could therefore be simulated. The proposed model predicted body composition data in dairy cows from a broad experimental context and provided a practical prediction tool to study body reserves, particularly from a dynamic viewpoint.

Other chapters from this book

Introduction Introduction: history, appreciation and future focus. Author(s): France, J.
Chapter: 1 (Page no: 1) The Nordic dairy cow model, Karoline - development of volatile fatty acid sub-model. Author(s): Sveinbjörnsson, J. Huhtanen, P. Udén, P.
Chapter: 2 (Page no: 15) A three-compartment model of transmembrane fluxes of valine across the tissues of the hindquarters of growing lambs infected with Trichostrongylus colubriformis. Author(s): Roy, N. C. Bermingham, E. N. McNabb, W. C.
Chapter: 3 (Page no: 28) Using rumen degradation model to evaluate microbial protein yield and intestinal digestion of grains in cattle. Author(s): Paengkoum, P.
Chapter: 4 (Page no: 33) Simulation of rumen particle dynamics using a non-steady state model of rumen digestion and nutrient availability in dairy cows fed sugarcane. Author(s): Collao-Saenz, E. A. Bannink, A. Kebreab, E. France, J. Dijkstra, J.
Chapter: 5 (Page no: 40) Modelling fluxes of volatile fatty acids from rumen to portal blood. Author(s): Nozière, P. Hoch, T.
Chapter: 6 (Page no: 48) The role of rumen fill in terminating grazing bouts of dairy cows under continuous stocking. Author(s): Taweel, H. Z. Tas, B. M. Tamminga, S. Dijkstra, J.
Chapter: 7 (Page no: 54) Functions for microbial growth. Author(s): López, S. Prieto, M. Dijkstra, J. Kebreab, E. Dhanoa, M. S. France, J.
Chapter: 8 (Page no: 69) Obtaining information on gastric emptying patterns in horses from appearance of an oral acetaminophen dose in blood plasma. Author(s): Cant, J. P. Walsh, V. N. Geor, R. J.
Chapter: 9 (Page no: 84) A model to evaluate beef cow efficiency. Author(s): Tedeschi, L. O. Fox, D. G. Baker, M. J. Long, K. L.
Chapter: 10 (Page no: 99) Prediction of energy requirement for growing sheep with the Cornell Net Carbohydrate and Protein System. Author(s): Cannas, A. Tedeschi, L. O. Atzori, A. S. Fox, D. G.
Chapter: 11 (Page no: 114) Prediction of body weight and composition from body dimension measurements in lactating dairy cows. Author(s): Yan, T. Agnew, R. E. Mayne, C. S. Patterson, D. C.
Chapter: 12 (Page no: 121) Relationships between body composition and ultrasonic measurements in lactating dairy cows. Author(s): Agnew, R. E. Yan, T. Patterson, D. C. Mayne, C. S.
Chapter: 14 (Page no: 135) Simulating chemical and tissue composition of growing beef cattle: from the model to the tool. Author(s): Hoch, T. Pradel, P. Champciaux, P. Agabriel, J.
Chapter: 15 (Page no: 144) 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. Author(s): Oltjen, J. W. Sainz, R. D. Pleasants, A. B. Soboleva, T. K. Oddy, V. H.
Chapter: 16 (Page no: 160) Growth patterns of Nellore vs British beef cattle breeds assessed using a dynamic, mechanistic model of cattle growth and composition. Author(s): Sainz, R. D. Barioni, L. G. Paulino, P. V. Valadares Filho, S. C. Oltjen, J. W.
Chapter: 17 (Page no: 171) A kinetic model of phosphorus metabolism in growing sheep. Author(s): Dias, R. S. Roque, A. R. Nascimento Filho, V. F. Vitti, D. M. S. S. Bueno, I. C. S.
Chapter: 18 (Page no: 180) Dynamic simulation of phosphorus utilization in salmonid fish. Author(s): Hua, K. Cant, J. P. Bureau, D. P.
Chapter: 19 (Page no: 192) Development of a dynamic model of calcium and phosphorus flows in layers. Author(s): Dijkstra, J. Kebreab, E. Kwakkel, R. P. France, J.
Chapter: 20 (Page no: 211) Estimating the risk of hypomagnesaemic tetany in dairy herds. Author(s): Bell, S. T. McKinnon, A. E. Sykes, A. R.
Chapter: 21 (Page no: 229) Modelling the effects of environmental stressors on the performance of growing pigs: from individuals to populations. Author(s): Wellock, I. J. Emmans, G. C. Kyriazakis, I.
Chapter: 22 (Page no: 242) Empirical modelling through meta-analysis vs mechanistic modelling. Author(s): Sauvant, D. Martin, O.
Chapter: 23 (Page no: 251) Iterative development, evaluation and optimal parameter estimation of a dynamic simulation model: a case study. Author(s): Barioni, L. G. Oltjen, J. W. Sainz, R. D.
Chapter: 24 (Page no: 257) Segmented, constrained, non-linear, multi-objective, dynamic optimization methodology applied to the dairy cow ration formulation problem. Author(s): Boston, R. C. Hanigan, M. D.
Chapter: 25 (Page no: 275) A model to simulate the effects of different dietary strategies on the sustainability of a dairy farm system. Author(s): Prado, A. del Scholefield, D. Brown, L.
Chapter: 26 (Page no: 281) Advantages of a dynamical approach to rumen function to help to resolve environmental issues. Author(s): Bannink, A. Dijkstra, J. Kebreab, E. France, J.
Chapter: 27 (Page no: 299) Evaluation of models to predict methane emissions from enteric fermentation in North American dairy cattle. Author(s): Kebreab, E. France, J. McBride, B. W. Odongo, N. Bannink, A. Mills, J. A. N. Dijkstra, J.
Chapter: 28 (Page no: 314) Investigating daily changes in food intake by ruminants. Author(s): Dryden, G. M.
Chapter: 29 (Page no: 328) An ingredient-based input scheme for Molly. Author(s): Hanigan, M. D. Bateman, H. G. Fadel, J. G. McNamara, J. P. Smith, N. E.
Chapter: 30 (Page no: 349) Metabolic control: improvement of a dynamic model of lactational metabolism in early lactation. Author(s): McNamara, J. P.
Chapter: 31 (Page no: 366) Rostock feed evaluation system - an example of the transformation of energy and nutrient utilization models to practical application. Author(s): Chudy, A.
Chapter: 32 (Page no: 383) The Nordic dairy cow model, Karoline - description. Author(s): Danfær, A. Huhtanen, P. Udén, P. Sveinbjörnsson, J. Volden, H.
Chapter: 33 (Page no: 407) The Nordic dairy cow model, Karoline - evaluation. Author(s): Danfær, A. Huhtanen, P. Udén, P. Sveinbjörnsson, J. Volden, H.
Chapter: 34 (Page no: 416) A composite model of growth, pregnancy and lactation. Author(s): Vetharaniam, I. Davis, S. R.

Chapter details

  • Author Affiliation
  • UMR INRA INA P-G, Physiologie de la Nutrition et Alimentation, 16 rue Claude Bernard, 75231 Paris Cedex 05, France.
  • Year of Publication
  • 2006
  • ISBN
  • 9781845930059
  • Record Number
  • 20063093897