Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-25T03:05:21.398Z Has data issue: false hasContentIssue false
  • English
  • Français

Empty body chemical composition estimated from non-carcass parts in Belgian Blue double-muscled bulls

Published online by Cambridge University Press:  18 August 2016

S. de Campeneere ,
L. O. Fiems ,
J. M. Vanacker  and
Ch. V. Boucqué
S. de Campeneere
Affiliation:
Agricultural Research Centre — Ghent, Department of Animal Nutrition and Husbandry, Scheideweg 68, B-9090 Melle-Gontrode, Belgium
L. O. Fiems
Affiliation:
Agricultural Research Centre — Ghent, Department of Animal Nutrition and Husbandry, Scheideweg 68, B-9090 Melle-Gontrode, Belgium
J. M. Vanacker
Affiliation:
Agricultural Research Centre — Ghent, Department of Animal Nutrition and Husbandry, Scheideweg 68, B-9090 Melle-Gontrode, Belgium
Ch. V. Boucqué
Affiliation:
Agricultural Research Centre — Ghent, Department of Animal Nutrition and Husbandry, Scheideweg 68, B-9090 Melle-Gontrode, Belgium
Get access

Abstract

Properties of the non-carcass parts in combination with empty body and half carcass weight (EBW and CCW; kg) were used to generate equations for predicting empty body chemical composition. Therefore, chemical composition of the non-carcass parts and weight of the depot fatty tissues were determined on 18 Belgian Blue double-muscled fattening bulls. Very high coefficients of determination (R2) were found between the empty body composition and on the one hand the non-carcass parts composition and on the other hand the weight of the fatty tissues. Fat in the empty body was most difficult to predict. The very high coefficients of determination are partly caused by the large variation in slaughter weight (309 to 723 kg). Therefore equations to estimate proportional composition of the empty body are discussed. Although R2 values are strongly reduced, residual standard deviations remain very low and the precision of prediction is good. The proportion of protein is most difficult to predict, as it shows a very small variation. Estimations based on composition of the non-carcass parts are mostly a little more precise than the estimates based on weight of the fatty tissues but as the latter are much easier to determine, these equations will be more appropriate for practical use. Similarly the little improvement of the estimation based on EBW instead of CCW, cannot account for the extra costs and time to determine EBW. The results of the homogenizations have proven that there is very little variation in composition, despite the large range in slaughter weight. As the Belgian Blue double-muscled animals are very deviant from other breeds, the equations found in this study can only be applied for this breed type.

Keywords

Belgian Bluebody compositionoffal
Type
Research Article
Information
Animal Science , Volume 68 , Issue 1 , February 1999 , pp. 223 - 229
Copyright
Copyright © British Society of Animal Science 1999

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

Bergsma-Kadijk, J.A, Baumeister, B. and Deurenberg, P. 1996. Measurement of body fat in young and elderly women: comparison between a four-compartment model and widely used reference methods. British Journal of Nutrition 75: 649–657.CrossRefGoogle Scholar
Campeneere, S. de, Fiems, L. O. and Boucqué, Ch. V. 1999. In vivo estimation of body composition in cattle. Nutrition Abstracts and Reviews In press.Google Scholar
Campeneere, S. de, Fiems, L. O., Voorde, G. van de, Vanacker, J., Boucqué, Ch. V. and Demeyer, D. I. 1998. Estimation of chemical charcass composition from the 8th rib cut characteristics with Belgian Blue double-muscled bulls. Meat Science In press.Google Scholar
Clinquart, A., Eenaeme, C. van, Vooren, T. van, Hoof, J. van, Hornick, J. L. and Istasse, L. 1994. Meat quality in relation to breed (Belgian Blue vs Holstein) and conformation (double muscled vs dual purpose type). Sciences des Aliments 14: 401–407.Google Scholar
Fiems, L. O., Hoof, J. van, Uytterhaegen, L., Boucqué, Ch.V. and Demeyer, D. I. 1995. Comparative quality of meat from double-muscled and normal cattle. In Expression of tissue proteinases and regulation of protein degradation as related to meat quality (ed. A. Ouali, Demeyer, D. and Smulders, F. J. M.), pp. 381–393. Ecceamst, Utrecht.Google Scholar
Hammond, A. C., Rumsey, T. S. and Haaland, G. L. 1988. Prediction of empty body components in steers by urea dilution. Journal of Animal Science 66: 354–360.Google Scholar
Kempster, A. J. 1986. Correlations between direct and indirect measurements of body composition. Proceedings of the Nutrition Society 45: 55–62.Google Scholar
Ledger, H. P., Gilliver, B. and Robb, J. M. 1973. An examination of sample joint dissection and specific gravity techniques for assessing the carcass composition of steers slaughtered in commercial abattoirs. Journal of Agricultural Science, Cambridge 80: 381–392.CrossRefGoogle Scholar
Mitchell, A. D., Conway, J. M. and Potts, W. J. E. 1996. Body composition analysis of pigs by dual-energy x-ray absorptiometry. Journal of Animal Science 74: 2663–2671.Google Scholar
Reid, J. T. and Robb, J. 1971. Relationship of body composition to energy intake and energetic efficiency. Journal of Dairy Science 54: 553–564.Google Scholar
Robelin, J. and Geay, Y. 1978. Estimation de la composition chimique du corps entier des bovins à partir du poids des dépôts adipeux totaux. Annales de Zootechnie 27: 159–167.CrossRefGoogle Scholar
Statistical Packages for the Social Sciences. 1998. SPSS Base 8.0 for Windows. Users’s guide. SPSS inc., Chicago, IL.Google Scholar
Topel, D. G. and Kauffman, R. 1988. Live animal and carcass composition measurement. In Designing foods. Animal product options in the marketplace, pp. 258–272. National Academy Press, Washington, DC.Google Scholar
Velazco, J., Morrill, J. L., Kropf, D. H., Brandt Jr, R. T., Harmon, D. L., Preston, R. L. and Clarenburg, R. 1997. The use of urea dilution for estimation of carcass composition of Holstein steers at 3, 6, 9 and 12 months of age. Journal of Animal Science 75: 139–147.Google Scholar
Wilkinson, R. G. and Greenhalgh, J. F. D. 1995. Prediction of the body composition of lambs from the composition of their non-carcass components. Animal Science 61: 265–268.Google Scholar
Williams, D. B., Topel, D. G. and Vetter, R. L. 1974. Evaluation of a tissue-sawdust technique for predicting beef carcass composition. Journal of Animal Science 39: 849–854.Google Scholar