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4.2 Flow of Information from Research

Published online by Cambridge University Press:  27 February 2018

J. M. Forbes
J. M. Forbes*
Affiliation:
Department of Animal Physiology and Nutrition, University of Leeds, Leeds
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Extract

The remit of this paper is to discuss “…provision of appropriate information to write suitable software for the animal production industry” and … how much material has actually flowed from Universities and Research Institutes into useable computer programs and what are seen as being the main stumbling blocks to the rate of flow and effectiveness of take-up?”. Canvassing opinion from several people, including some of those who have contributed at this Meeting, gave many useful ideas but some of them would not wish these ideas to be associated with their names, for a variety of reasons. Therefore, the author is reluctantly unable to thank those who helped by name but is very pleased to do so collectively. The remit has also been broadened slightly to include the feedback from the use of models in the field to the research worker and uses examples of the author's own attempts to model voluntary food intake in ruminants to illustrate some shortcomings.

Type
4. Policies for Future Use of Computers in Animal Production
Information
BSAP Occasional Publication , Volume 5 , 1981 , pp. 127 - 130
Copyright
Copyright © British Society of Animal Production 1981

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References

REFERENCES

A.R.C. 1965. The Nutrient Requirements of Farm Livestock No. 2, Ruminants. Agricultural Research Council, London.Google Scholar
Baldwin, R. L. and Koong, L. J. 1980. Mathematical modelling in analyses of ruminant digestive function: philosophy, methodology and application. In Digestive Physiology and Metabolism of Ruminants (ed. Ruckebusch, Y. and Thivend, P.), pp. 251–268. M.T.P., Lancaster.CrossRefGoogle Scholar
Beever, D. E. 1981. Simulation model of rumen fermentation. Computers in Animal Production. Occ. Publ. Br. Soc. Anim. Prod. No. 5.Google Scholar
Brody, S. 1945. Bioenergetics and Growth. Reinhold, New York.Google Scholar
Forbes, J. M. 1971. Physiological changes affecting voluntary food intake in ruminants. Proc. Nutr. Soc. 30:135–141.CrossRefGoogle ScholarPubMed
Forbes, J. M. 1977a. Interrelationships between physical and metabolic control of voluntary food intake in fattening, pregnant and lactating mature sheep: A model. Anim. Prod. 24: 91–101.Google Scholar
Forbes, J. M. 1977b. Development of a model of voluntary food intake and energy balance in lactating cows. Anim. Prod, 24: 203–214.Google Scholar
Forbes, J. M. 1978. Models of the control of food intake and energy balance in ruminants. In Hunger Models: Quantitative Theory of Feeding Control (ed. Booth, D. A.), pp. 323–346. Academic Press, London.Google Scholar
Forbes, J. M. 1980. A model of the short-term control of feeding in the ruminant: Effects of changing animal or feed characteristics. Appetite 1: 21–41.CrossRefGoogle Scholar
Sibbald, A. R., Maxwell, T. J. and Eadie, J. 1979. A conceptual approach to the modelling of herbage intake by sheep. Agric. Systems 4: 119–134.CrossRefGoogle Scholar
Whittemore, C. T. and Fawcett, R. H. 1976. Theoretical aspects of a flexible model to simulate protein and lipid growth in pigs. Anim. Prod. 22: 97–103.Google Scholar
Wright, A., Baars, J. A., Bryant, A. M., Reardon, T. F., Saunders, W. H. M. and Wilson, D. A. 1976. An evaluation of the role of systems modelling in an agricultural research programme. Proc. N.Z. Soc. Anim. Prod. 36: 150–160.Google Scholar