Hostname: page-component-848d4c4894-5nwft Total loading time: 0 Render date: 2024-05-22T03:40:14.764Z Has data issue: false hasContentIssue false

A model of nutrient utilization and body composition in beef cattle

Published online by Cambridge University Press:  02 September 2010

J. France
Affiliation:
AFRC Institute of Grassland and Animal Production, Hurley, Maidenhead, Berkshire SL6 5LR
M. Gill
Affiliation:
AFRC Institute of Grassland and Animal Production, Hurley, Maidenhead, Berkshire SL6 5LR
J. H. M. Thornley
Affiliation:
AFRC Institute of Grassland and Animal Production, Hurley, Maidenhead, Berkshire SL6 5LR
P. England
Affiliation:
AFRC Institute of Grassland and Animal Production, Hurley, Maidenhead, Berkshire SL6 5LR
Get access

Abstract

A simple dynamic model of metabolism in growing beef cattle is described; the scheme is based on carbon and nitrogen fluxes. There are six state variables, three relating to blood metabolite levels and three to body composition. The blood metabolite variables are acetyl-coenzyme A equivalents, glucose equivalents and amino acids, and the body composition ones are ash, lipid and protein. The fluxes in the model are based on nine biochemical transactions, six of which are catabolic and three biosynthetic. The model simulates changes in carcass composition in response to changing nutrient input and gives a measure of agreement with comparative slaughter data. It also highlights the need for more complete data on profiles of nutrient absorption in association with comparative slaughter experiments.

Type
Research Article
Copyright
Copyright © British Society of Animal Science 1987

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Agricultural Research Council. 1980. The Nutrient Requirements of Ruminant Livestock. Commonwealth Agricultural Bureaux, Slough.Google Scholar
Baldwin, R. L. and Black, J. L. 1979. Simulation of the effects of nutritional status on the growth of mammalian tissues: description and evaluations of a computer program. Technical Paper, Animal Research Laboratories, No. 6. Commonwealth Scientific and Industrial Research Organisation, Melbourne.Google Scholar
Baldwin, R. L., Bywater, A. C., Taylor, J. and Murphy, M. 1983. Integration of metabolism in the rumen and host animal. In Herbivore Nutrition in the Sub-tropics and Tropics (ed. Gilchrist, F. M. C. and MacKie, R. I.), pp. 478502. The Science Press (PTY) Ltd, Craighill, South Africa.Google Scholar
Baldwin, R. L. and Smith, N. E. 1971. Intermediary aspects and tissue interactions of ruminant fat metabolism. Journal of Dairy Science 54: 583595.CrossRefGoogle ScholarPubMed
Bergman, E. N., Rose, W. E. and Kon, K. 1966. Quantitative aspects of propionate metabolism in sheep. American Journal of Physiology 211: 793799.CrossRefGoogle ScholarPubMed
Brody, S. 1945. Bioenergetics and Growth. Reinhold, New York.Google Scholar
Dixon, M. and Webb, E. C. 1964. Enzymes. 2nd ed. Longman, London.Google Scholar
Forbes, J. M. 1977a. Interrelationships between physical and metabolic control of voluntary food intake in fattening, pregnant and lactating sheep: a model. Animal Production 24: 91101.Google Scholar
Forbes, J. M. 1977b. Development of a model of voluntary food intake and energy balance in lactating cows. Animal Production 24: 203214.Google Scholar
Fowler, V. R. 1968. Body development and some problems of its evaluation. In Growth and Development of Mammals (ed. Lodge, G. A. and Lamming, G. E.), pp. 195211. Butterworths, London.Google Scholar
France, J., Thornley, J. H. M. and Beever, D. E. 1982. A mathematical model of the rumen. Journal of Agricultural Science, Cambridge 99: 343353.CrossRefGoogle Scholar
Geisler, P. A. and Neal, H. 1979. A model for the effects of energy nutrition on the pregnant ewe. Animal Production 29: 357369.Google Scholar
Gill, M. 1986. Dynamic models ‐ their use in understanding and predicting nutrient response. Proceedings of the Nutrition Society 45: 221229.CrossRefGoogle ScholarPubMed
Gill, M., Thornley, J. H. M., Black, J. L., Oldham, J. D. and Beever, D. E. 1984. Simulation of the metabolism of absorbed energy-yielding nutrients in young sheep. British Journal of Nutrition 52: 621649.CrossRefGoogle Scholar
Graham, N. McC, Black, J. L., Faichney, G. J. and Arnold, G. W. 1976. Simulation of growth and production in sheep — Model 1: a computer program to estimate energy and nitrogen utilisation, body composition and empty liveweight change, day by day for sheep of any age. Agricultural Systems 1: 113138.CrossRefGoogle Scholar
Hammond, J., Bowman, J. C. and Robinson, T. J. 1983. Hammond's Farm Animals. 5th ed. Arnold, London.Google Scholar
Katz, J. and Rognstad, R. 1976. Futile cycles in the metabolism of glucose. In Current Topics in Cellular Regulation No. 10 (ed. Horecker, B. and Stadman, E.), pp. 237289. Academic Press, New York.Google Scholar
Lindsay, D. B. 1976. Amino acids as sources of energy. In Protein Metabolism and Nutrition (ed. Cole, D. J. A., Boorman, K. N., Buttery, P. J., Lewis, D., Neale, R. J. and Swan, H.), pp. 183196. Butterworths, London.Google Scholar
Lonsdale, C. R. 1976. The effect of season of harvest on the utilization by young cattle of dried grass given alone or as a supplement to grass silage. Ph.D. Thesis, University of Reading.Google Scholar
Millward, D. J., Garlick, P. J. and Reeds, P. J. 1976. The energy cost of growth. Proceedings of the Nutrition Society 35: 339349.CrossRefGoogle ScholarPubMed
National Research Council. 1970. Nutrient Requirements of Domestic Animals. No. 4, Nutrient Requirements of Beef Cattle. 5th ed. National Academy of Sciences, Washington, DC.Google Scholar
National Research Council. 1971. Nutrient Requirements of Domestic Animals. No. 3, Nutrient Requirements of Dairy Cattle. 5th ed. National Academy of Science, Washington, DC.Google Scholar
National Research Council. 1975. Nutrient Requirements of Domestic Animals. No. 5, Nutrient Requirements of Sheep. 5th ed. National Academy of Science, Washington, DC.Google Scholar
Newton, J. E. and Edelsten, P. R. 1976. A model of the effect of nutrition on litter size and weight in the pregnant ewe. Agricultural Systems 1: 185199.CrossRefGoogle Scholar
Reeds, P. J. and Lobley, G. E. 1980. Protein synthesis: are there real species differences? Proceedings of the Nutrition Society 39: 4352.CrossRefGoogle ScholarPubMed
Reid, J. T., Wallington, G. H. and Dunn, H. O. 1955. Some relationships among major chemical components of the bovine body and their application to nutritional investigations. Journal of Dairy Science 38: 13441359.CrossRefGoogle Scholar
Ribeiro, J. M. C. R., MacRae, J. C. and Webster, A. J. F. 1981. An attempt to explain differences in the nutritive value of spring and autumn harvested dried grass. Proceedings of the Nutrition Society 40: 12A (Abstr.).Google Scholar
Royal Smithfield Club. 1966. A Comparison of the Growth of Different Types of Cattle for Beef Production. Underhill, London.Google Scholar
Schulz, A. R. 1978. Simulation of energy metabolism in the simple-stomached animal. British Journal of Nutrition 39: 235254.CrossRefGoogle ScholarPubMed
Searle, T. W. and Griffiths, D. A. 1983. Equations for postnatal chemical composition of the fat-free empty body of sheep and cattle. Journal of Agricultural Science, Cambridge 100: 693699.CrossRefGoogle Scholar
Thompson, D. J., Beever, D. E., Lonsdale, C. R., Haines, M. J., Cammell, S. B. and Austin, A. R. 1981. The digestion by cattle of grass silage made with formic acid and formic acid-formaldehyde. British Journal of Nutrition 46: 193207.CrossRefGoogle ScholarPubMed
Thornley, J. H. M. 1976. Mathematical Models in Plant Physiology. Academic Press, London.Google Scholar
Thornley, J. H. M. and France, J. 1984. Role of modelling in animal production research and extension work. In Proceedings of the Second International Workshop on Modelling Ruminant Digestion and Metabolism (ed. Baldwin, R. L. and Bywater, A. C.), pp. 49. University of California, Davis.Google Scholar
Tulloh, N. M. 1963. Relation between carcass composition and live weight in sheep. Nature, London 197: 809810.CrossRefGoogle Scholar
University of Missouri. 1922. Studies in animal nutrition. III. Changes in chemical composition on different planes of nutrition. Research Bulletin, Agricultural Experimental Station, No. 55.Google Scholar
Webster, A. J. F., Ahmed, A. A. M. and Frappell, J. P. 1982. A note on growth rates and maturation rates in beef bulls. Animal Production 35: 281284.Google Scholar
Wit, C. T. De 1970. Dynamic concepts in biology. In Prediction and Measurement of Phytosynthetic Productivity (ed. Setlik, I.), pp. 1723. Pudoc, Wageningen.Google Scholar
Young, J. W. 1977. Gluconeogenesis in cattle: significance and methodology. Journal of Dairy Science 60: 115.CrossRefGoogle ScholarPubMed