Hostname: page-component-7bb8b95d7b-lvwk9 Total loading time: 0 Render date: 2024-09-23T11:33:36.907Z Has data issue: false hasContentIssue false

Correlated responses in slaughter and carcass traits of crossbred progeny to selection for carcass lean content in sheep

Published online by Cambridge University Press:  02 September 2010

N. D. Cameron
Affiliation:
AFRC Institute of Animal Physiology and Genetics Research, Edinburgh Research Station, Roslin, Midlothian EH25 9PS
Get access

Abstract

Correlated responses in slaughter and carcass traits to divergent selection for high or low carcass lean content in Texel-Oxford sheep were measured in the crossbred progeny of 23 rams. Rams were selected using the selection index: -0·995 FATD + 0·206 WT20, where FATD and WT20 are the ultrasonic backfat depth and live weight at 20 weeks of age, with both traits standardized to have zero mean and unit phenotypic variance. A total of 329 crossbred lambs were slaughtered at 16 weeks of age and 250 lambs were slaughtered at fixed weight, 38 to 40 kg for castrated males and 36 to 38 kg for ewe lambs. Progeny from high-line rams grew faster, as indicated by the heavier slaughter weight of lambs slaughtered at fixed age (04 (s.e.d. 0·5) kg) and the lower age at slaughter for lambs slaughtered at fixed weight (-5 (s.e.d. 3) days). Subcutaneous and internal fat scores and the Meat and Livestock Commission carcass appraisal and conformation scores were all lower in the high line than in the low line and the magnitude of the selection line differences for lambs slaughtered at fixed weight was essentially double that of lambs slaughtered at fixed age (0·8 v. 0·5 score units).

Shoulder joints of 254 lambs, slaughtered at fixed age, were dissected and half carcasses were dissected on 66 of the lambs. Carcass and shoulder joint information was combined with double-sampling methodology, using multiple regression equations to predict carcass composition. For each tissue type, viz. lean, subcutaneous fat, internal fat and bone, the correlations between carcass content and shoulder joint content were at least 0·90 and the proportions of variation in carcass tissue content accounted for by the prediction equations were also at least 0·90. Progeny of high-line rams had higher carcass lean weight, (402 (s.e.d. 140) g) than progeny from the low line, with no difference in carcass fat weight, such that carcass lean content was higher, (10 (s.e.d. 5) g/kg), and carcass fat content was lower, (-10 (s.e.d. 7) g/kg). Based on the slaughter and carcass traits of these crossbred progeny, divergent selection for high and low carcass lean content has established lines of animals with different rates of lean growth but similar rates offat deposition.

Type
Research Article
Copyright
Copyright © British Society of Animal Science 1992

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

Bennett, G. L., Meyer, H. H. and Kirton, A. H. 1988. Effects of selection for divergent ultrasonic fat depth in rams on progeny fatness. Animal Production 47: 379386.Google Scholar
Bohren, B. B., McKean, H. E. and Yamada, Y. 1961. Relative efficiencies of heritability estimates based on regression of offspring on parent. Biometrics 17: 481491.CrossRefGoogle Scholar
Brown, W. R. 1989. A comparison of carcass compositions of lambs from Suffolk sires selected for high and low lean growth index. B.Sc. Thesis, University of Edinburgh.Google Scholar
Butterfield, R. M., Griffiths, D. A., Thompson, J. M., Zamora, J. and James, A. M. 1983. Changes in body composition relative to weight and maturity in large and small strains of Australian Merino rams. 1. Muscle, bone and fat. Animal Production 36: 2937.Google Scholar
Cameron, N. D. and Bracken, J. 1992. Selection for carcass lean content in a terminal sire breed of sheep. Animal Production 54: 367377.Google Scholar
Cameron, N. D. and Drury, D. J. 1985. Comparison of terminal sire breeds for growth and carcass traits in crossbred Iambs. Animal Production 40: 315322.Google Scholar
Cameron, N. D. and Smith, C. 1985. Estimation of carcass leanness in young rams. Animal Production 40: 303308.Google Scholar
Cameron, N. D. and Thompson, R. 1986. Design of multivariate selection experiments to estimate genetic parameters. Theoretical and Applied Genetics 72: 466476.CrossRefGoogle ScholarPubMed
Conniffe, D. and Moran, M. A. 1972. Double sampling with regression in comparative studies of carcass composition. Biometrics 28: 10111023.CrossRefGoogle Scholar
Cook, G. L., Jones, D. W. and Kempster, A. J. 1983. A note on a simple criterion for choosing among sample joints for use in double sampling. Animal Production 36: 493495.Google Scholar
Cuthbertson, A., Harrington, G. and Smith, R. J. 1972. Tissue separation — to assess beef and lamb variation. Proceedings of the British Society of Animal Production (New Series). 1: 113122.CrossRefGoogle Scholar
Falconer, D. S. 1981. Introduction to Quantitative Genetics. 2nd ed. Longman, London.Google Scholar
Hill, W. G. and Thompson, R. 1977. Design of experiments t o estimate offspring-parent regression using selected parents. Animal Production 24: 163168.Google Scholar
Juga, J. and Thompson, R. 1990. Estimation of bivariate variance components. Proceedings of the fourth world on genetics applied to livestock production (ed. Hill, W. G., , Thompson and Woolliams, J. A.), vol. 13, pp. 496499.Google Scholar
Kempster, A. J., Jones, D. W. and Wolf, B. T. 1986. A comparison of alternative methods for predicting the carcass composition of crossbred lambs of different breeds and crosses. Meat Science 18: 89110.CrossRefGoogle ScholarPubMed
Kempthorne, O. and Tandon, O. B. 1953. The estimation of heritability by regression of offspring on parent. Biometrics 9: 90100.CrossRefGoogle Scholar
McClelland, T. H., Bonaiti, B. and Taylor, St C. S. 1976. Breed differences in body composition of equally mature sheep. Animal Production 23: 281293.Google Scholar
Meat and Livestock Commission. 1990. Sheep Yearbook. Meat and Livestock Commission, Milton Keynes.Google Scholar
Meyer, K. 1989. Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm. Genetique, Selection, Evolution 21: 317340.CrossRefGoogle Scholar
Patterson, H. D. and Thompson, R. 1971. Recovery of inter-block information when block sizes are unequal. Biometrika 58: 545554.CrossRefGoogle Scholar
Simm, G. and Dingwall, W. S. 1989. Selection indices for lean meat production in sheep. Livestock Production Science 21: 223233.CrossRefGoogle Scholar
Taylor, St C. S. 1985. Use of genetic size-scaling in evaluation of animal growth. Journal of Animal Science 61: suppl. 2, pp. 118143.CrossRefGoogle Scholar
Thompson, J. M., Butterfield, R. M. and Perry, D. 1985. Food intake, growth and body composition in Australian Merino sheep selected for high and low weaning weight. 2. Chemical and dissectible body composition. Animal Production 40: 7184.Google Scholar
Thonney, M. L., Taylor, St C. S., Murray, J. I. and McClelland, T. H. 1987. Breed and sex differences in equally mature sheep and goats. 2. Body components at slaughter. Animal Production 45: 261276.Google Scholar
Wolf, B. T., Smith, C. and Sales, D. I. 1980. Growth and carcass composition in the crossbred progeny of six terminal sire breeds of sheep. Animal Production 31: 307313.Google Scholar