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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.


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...


Chapter 9 (Page no: 84)

A model to evaluate beef cow efficiency.

The beef cattle seed stock industry in the USA is searching for ways to select for improved beef cow efficiency. Most selection indexes for efficiency have a goal of using less resource while obtaining the same outcome in a sustainable environment. However, the inputs required to determine individual beef cow feed efficiency are not readily available in practical conditions. A mathematical model was developed to use inputs readily available in each production situation to estimate the ratio of cow metabolizable energy (ME) required to calf weaning weight (WW) for computing an energy efficiency index (EEI). This model ranks EEI estimates and compares individual cow EEI within the range of expected EEI using Monte Carlo methods to identify the upper and lower cutoff values. It uses the National Research Council recommendations as implemented in the Cornell Net Carbohydrate and Protein System (CNCPS) for energy requirements for maintenance, lactation and pregnancy. Data containing varying levels of milk and forage intake of individual calves during the first 200 days after birth were used to develop a submodel to estimate calf forage and peak milk intake (PKM) based on calf body weight (BW) and forage composition. A database collected at the Bell Ranch, New Mexico (N=182), was used to evaluate the ranking from most to least efficient cows. The simulation indicated that as PKM increases, WW increases almost linearly, the difference in the calf WW between small and large cows tends to increase, and EEI estimates improve exponentially. As PKM increased, the EEI difference between small- and large-size cows decreased. The model-predicted least efficient cows corresponded with culling decisions made prior to evaluating the EEI ranking. The Monte Carlo simulation based on the distribution, mean and variability of cow BW, PKM and forage quality indicated that cows having EEI lower than 30.6 or higher than 38 Mcal/kg are within the 10% most efficient and least efficient cows, respectively. Our analysis suggested that this model could assist beef producers in identifying the most and least efficient cows for their resource, and can be used to simulate different production scenarios to identify the best match of cow type to alternative management systems.

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: 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: 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.

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