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Estimation in vivo of the chemical composition of the bodies of mature cows

Published online by Cambridge University Press:  02 September 2010

I. A. Wright
Affiliation:
Hill Farming Research Organisation, Bush Estate, Penicuik, Midlothian EH26 0PY
A. J. F. Russel
Affiliation:
Hill Farming Research Organisation, Bush Estate, Penicuik, Midlothian EH26 0PY
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Abstract

A number of possible indices of body composition (live weight, skeletal size, total body water as estimated by deuterium oxide dilution, blood and red cell volumes as estimated by Evans Blue dilution, ultrasonic measurements of subcutaneous fat depth and eye-muscle area, and body condition scoring) was examined using 73 non-pregnant, non-lactating, mature cows of Hereford × Friesian, Blue-Grey, British Friesian, Galloway and Luing genotypes, ranging in body condition score from 0·75 to 4·5. Direct measurements of body composition in terms of water, fat, protein and ash were made following slaughter.

Live weight, deuterium oxide dilution, ultrasonic measurements of subcutaneous fat depth and eyemuscle area, and body condition score were all considered to be potentially useful predictors of body composition. Combinations of techniques offered better predictions than did any single index. Using a combination of measurements it was possible to predict body fat and protein with a residual s.d. of 13·1 kg and 3·15 kg respectively. Breed differences in the partition of fat among the main adipose tissue depots necessitated the development of specific prediction equations for body fat based on condition score and subcutaneous fat depth for different breeds. Equations remain to be developed for predicting body composition in cows in different physiological states.

Type
Research Article
Copyright
Copyright © British Society of Animal Science 1984

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References

REFERENCES

Agricultural Research Council. 1965 The Nutrient Requirements of Farm Livestock. No. 2, Ruminants. Agricultural Research Council, London.Google Scholar
Chinard, F. P. 1951. Estimation of plasma volume by dye dilution method. Meth. med. Res. 4: 3848.Google Scholar
Cowan, R. T., Robinson, J. J., Greenhalgh, J. F. D. and McHattie, I. 1979. Body composition changes in lactating ewes estimated by serial slaughter and deuterium dilution. Anim. Prod. 29: 8190.Google Scholar
Crabtree, R. M. 1976. Studies on the body composition of beef cattle as affected by type of food and the efficiency of energy utilisation. Ph.D. Thesis, Univ. Aberd.Google Scholar
Crabtree, R. M., Houseman, R. A. and Kay, M. 1974. The estimation of body composition in beef cattle by deuterium oxide dilution. Proc. Nutr. Soc. 33: 74A-75A (Abstr.).Google ScholarPubMed
Donnelly, J. R. and Freer, M. 1974. Prediction of body composition in live sheep. Aust. J. agric. Res. 25: 825834.CrossRefGoogle Scholar
Foot, Janet Z. and Greenhalgh, J. F. D. 1970. The use of deuterium oxide space to determine the amount of body fat in pregnant Blackface ewes. Br. J. Nutr. 24: 815825.CrossRefGoogle ScholarPubMed
Foot, Janet Z., Skedd, E. and McFarlane, D. N. 1979. Body composition in lactating sheep and its indirect measurement in the live animal using tritiated water. J. agric. Sci., Camb. 92: 6981.CrossRefGoogle Scholar
Houseman, R. A., Robinson, J. J. and Fraser, C. 1978. The estimation of body water and fat in pregnant ewes using deuterium oxide. Proc. Nutr. Soc. 37: 64A (Abstr.).Google ScholarPubMed
Lawes Agricultural Trust. 1977. Gens tat V, Mark 4.01. Rothamsted Experimental Station, Harpenderi, Hertfordshire.Google Scholar
Little, D. A. and McLean, R. W. 1981. Estimation of the body chemical composition of live cattle varying widely in fat content. J. agric. Sci., Camb. 96: 213220.CrossRefGoogle Scholar
Little, D. A. and Morris, J. G. 1972. Prediction of body composition of live cattle. J. agric. Sci., Camb. 78: 505508.CrossRefGoogle Scholar
Lohman, T. G. 1971. Biological variation in body composition. J. Anim. Sci. 32: 647653.CrossRefGoogle ScholarPubMed
Lowman, B. G., Scott, N. and Somerville, S. 1976. Condition scoring of cattle. Revised ed. Bull. E. Scotl. Coll. Agric, No. 6.Google Scholar
Reid, J. T., Bensadoun, A., Bull, L. S., Burton, J. H., Gleeson, P. A., Han, I. K., Joo, Y. D., Johnson, D. E., McManus, W. F., Paladines, O. L., Stroud, J. W., Tyrrell, H. F., Van Neikerk, B. D. H. and Wellington, G. W. 1968. Some peculiarities in the body composition of animals. In Body Composition of Animals and Man, pp. 1944. National Academy of Sciences, Washington, DC.Google Scholar
Reid, J. T., Wellington, G. H. and Dunn, H. O. 1955. Some relationships among the major chemical components of the bovine body and their application to nutritional investigations. J. Dairy Sci. 38: 13441359.CrossRefGoogle Scholar
Russel, A. J. F., Doney, J. M. and Gunn, R. G. 1969. Subjective assessment of body fat in live sheep. J. agric. Sci., Camb. 72: 451454.CrossRefGoogle Scholar
Russel, A. J. F., Foot, Janet Z. and McFarlane, D. N. 1982. Use of tritiated water for estimating body composition in grazing ewes. In Use of Tritiated Water in Studies of Production and Adaptation in Ruminants, pp. 4556. International Atomic Energy Agency, Vienna.Google Scholar
Tulloh, N. M., Truscott, T. G. and Lang, C. P. 1973. An evaluation of the “Scanogram” for predicting the carcass composition of live cattle. (A report submitted to the Australian Meat Board.) Rep. Sch. Agric. For. Univ. Melb. (Mimeograph).Google Scholar
Wainman, F. W., Smith, J. S. and Dewey, P. J. S. 1975. The nutritive value for sheep of ruminant Diet AA6, a complete cobbed diet containing 30% barley straw. J. agric. Sci., Camb. 84: 109111.CrossRefGoogle Scholar
Wright, I. A. and Russel, A. J. F. 1984. Partition of fat, body composition and body condition score in mature cows. Anim. Prod. 38: 2332.Google Scholar