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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 27 (Page no: 299)

Evaluation of models to predict methane emissions from enteric fermentation in North American dairy cattle.

The increasing focus on the environmental impact of agriculture means that there is a need for an accurate inventory of greenhouse gases (GHGs) to identify main sources of pollution and evaluate effects of potential mitigating options. A number of models have been developed to predict methane emissions from enteric fermentation applicable to North American cattle. The objectives of this work are to collate data on methane emissions from the literature and evaluate selected models using these independent data. Six models are considered: linear model of Moe and Tyrrell (1979b), linear and non-linear models of Mills et al. (2003), dynamic model of Kebreab et al. (2004) and Tier I and Tier II models recommended by the Intergovernmental Panel on Climate Change (IPCC, 1997). A database consisting of 47 records, not used in the development of the models, was used. Analyses were done on lactating cows only and on both dry and lactating cows. Assessment of the error of prediction relative to observed values was made by calculation of mean squared prediction error (MSPE). In addition, concordance correlation coefficient (CCC) was also used to evaluate if predicted values were precise and accurate when compared to observations. When data from lactating cows only were used, the models tended to underpredict methane production, except for the linear model of Mills et al. (2003). The linear model of Mills et al. (2003) predicted methane production from lactating dairy cows better than from a mixture of dry and lactating cows, while the opposite was true for the other linear model. The non-linear model improved MSPE and random error considerably accounting for more than 98% of MSPE for both data-sets. The dynamic simulation model also gave accurate and precise prediction for both sets of data with bias correction factor close to unity. Tier I model underpredicted mean methane production by 4%. Tier II model performed as well as the other linear models for the mixed data-set but not for the lactating cows data-set. The linear models are recommended for use if there is a lack of nutrient information and within the range in which they were developed. The non-linear model can be used for extrapolation but for assessment of mitigation options, more mechanistic models are recommended. Tier I model may be adequate for general inventory of methane emissions but Tier II model requires further refinement.

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: 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: 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
  • Centre for Nutrition Modelling, Department of Animal and Poultry Science, University of Guelph, 50 Gordon Street, Guelph, Ontario N1G 2W1, Canada.
  • Year of Publication
  • 2006
  • ISBN
  • 9781845930059
  • Record Number
  • 20063093913