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CABI Book Chapter

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 22 (Page no: 242)

Empirical modelling through meta-analysis vs mechanistic modelling.

During the 1980s numerous papers had underlined that a mechanistic model would be more appropriate than an empirical one to understand and simulate animal responses to diets. The major criticism against empirical models was the strong limitation of their possibilities of application beyond the range of data used for the statistical treatment. The trend in the last three decades has been an increase in the numbers of publications and data per publication. This evolution stressed the necessity to largely increase the process of extraction/integration of data into knowledge. Two aspects were necessary for each topic: the building of databases from the literature and thereafter the interpretation, through statistical meta-analysis, of these databases. Meta-analysis of databases is faced with several difficulties. An important point is that there are missing values and it does not constitute a classic experimental design. Otherwise it is a necessary process to conduct a careful interpretation, associating closely both graphical studies and statistical treatments. The major challenge of this last aspect is to split the variations among and within the experiments. Meta-analysis can be conducted on two levels between mechanistic and empirical models: (i) to provide valuable underlying parameters to build mechanistic models; and (ii) to use global and aggregated empirical models to perform the external evaluation of a mechanistic model. There are other ways to connect the two approaches. Meta-analysis of databases can be usefully applied to comparatively evaluate mechanistic models. Such a process was recently performed to compare three mechanistic models of rumen (Offner and Sauvant, 2004). It appeared that mechanistic modelling and meta-analysis do not basically compete; they present, on the contrary, strong possibilities of synergy. Therefore, they will likely be more and more closely associated in a common process of data mining in the near future.

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: 13 (Page no: 127) Empirical model of dairy cow body composition. Author(s): Martin, O. Sauvant, D.
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: 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
  • 20063093907