Hostname: page-component-8448b6f56d-qsmjn Total loading time: 0 Render date: 2024-04-23T18:21:11.276Z Has data issue: false hasContentIssue false

Identification of early predictors of carriers of the Booroola gene in sheep using a mixed inheritance model

Published online by Cambridge University Press:  02 September 2010

G. J. Nieuwhof
Affiliation:
ID-DLO, Institute for Animal Science and Health, PO Box 65, 8200 AB Lelystad, The Netherlands
A. H. Visscher
Affiliation:
ID-DLO, Institute for Animal Science and Health, PO Box 65, 8200 AB Lelystad, The Netherlands
B. Engel
Affiliation:
ID-DLO, Institute for Animal Science and Health, PO Box 65, 8200 AB Lelystad, The Netherlands
J. H. J. van der Werf
Affiliation:
ID-DLO, Institute for Animal Science and Health, PO Box 65, 8200 AB Lelystad, The Netherlands
F. H. de Jong
Affiliation:
Department of Endocrinology and Reproduction, Erasmus University, PO Box 1738, 3000 DR Rotterdam, The Netherlands
M. Dijkstra
Affiliation:
ID-DLO, Institute for Animal Science and Health, PO Box 65, 8200 AB Lelystad, The Netherlands
Get access

Abstract

A study was conducted to find early predictors of the Booroola gene in several generations of a crossbred sheep population. Merino carriers of the Booroola gene were mated with Texel sheep to improve prolificacy of the latter. Ovulation rate at 8 months of age, litter size at 1 and 2 years of age and FSH and inhibin levels at 3, 4, 5 and 6 weeks of age were determined in about 700 females.

Gibbs sampling was applied for inference in a mixed inheritance model. Estimates for the gene effect in heterozygous females were +1·5 corpora lutea and +1·3 lambs at 2 years of age. The gene effect on litter size at 1 year was small. The only significant major gene effect for hormone levels found was for lnINH4 (–0·66).

A number of hormone levels and combinations of hormone levels appeared to be useful predictors of carrier status of individual animals. In comparison with a situation where only parents' genotype is known, posterior probabilities for non-carriers were on average increased from 50 to over 95% when FSH levels were used. However, the combined posterior probabilities of carriers and non-carriers increased only up to 67%. So in general, classification with Gibbs sampling resulted in too few animals being identified as carrier. The sum of FSH levels at 3, 4, 5 and 6 weeks of age is proposed as a predictor of presence of the Booroola gene in an animal. Multivariate analysis of mixed inheritance models could help to find more effective combinations.

Type
Research Article
Copyright
Copyright © British Society of Animal Science 1998

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

Barker, J. D. 1986. ABRO yearbook 1986, p. 37. Animal Breeding Research Organisation, Edinburgh.Google Scholar
Bindon, B. M., Findlay, J. K. and Piper, L. R. 1985. Plasma FSH and LH in prepubertal Booroola ewe lambs. Australian Journal of Biological Science 38:215220.CrossRefGoogle ScholarPubMed
Bindon, B. M. and Piper, L. R. 1986. The reproductive biology of prolific sheep breeds. In Oxford reviews of reproductive biology, volume 8 (ed. Clarke, J. R.), pp. 239286. Clarendon Press, London.Google Scholar
Bodin, L., Bibé, B., Blanc, M. R. and Ricordeau, G. 1988. Genetic relationship between prepuberal plasma FSH levels and reproductive performance in Lacaune ewe lambs. Génétique, Sélection, Evolution 20:489498.CrossRefGoogle ScholarPubMed
Boldman, K. G., Kriese, L. A., Vleck, L. D. van and Kachman, S. D. 1993. A manual for use ofMTDFREML. A set of programs to obtain estimates of variances and covariances (draft). US Department of Agriculture, Agricultural Research Service.Google Scholar
Box, G. E. P. and Cox, D. R. 1964. An analysis of transformations. Journal of the Royal Statistical Society, Series B 26: 211252.Google Scholar
Janss, L. L. G., Thompson, R. and Arendonk, J. A. M. van. 1995. Application of Gibbs sampling for inference in a mixed major gene-polygenic inheritance model in animal populations. Theoretical and Applied Genetics 91: 11371147.CrossRefGoogle Scholar
Montgomery, G. W., Crawford, A. M., Penty, J. M., Dodds, K. G., Ede, A. J., Henry, H. M., Pierson, C. A., Lord, E. A., Galloway, S. M., Schmack, A. E., Sise, J. A., Swarbrick, P. A., Hanrahan, V., Buchanan, F. C. and Hill, D. F. 1993. The ovine Booroola fecundity gene (FecB) is linked to markers from a region of human chromosome 4q. Nature Genetics 4:410414.CrossRefGoogle ScholarPubMed
Piper, L. R., Bindon, B. M. and Davis, G. H. 1985. The single gene inheritance of the high litter size of the Booroola Merino. In Genetics of reproduction in sheep (ed. Land, R. B. and Robinson, D. W.), pp. 115125. Butterworths, London.CrossRefGoogle Scholar
Raftery, A. E. and Lewis, S. M. 1994. The number of iterations, convergence diagnostics and generic Metropolis algorithms. In Practical Markov Chain Monte Carlo (ed. Gilks, W. R., Speigelhalter, D. G. and Richardson, S.), pp. 115. Chapman and Hall, London.Google Scholar
Shapiro, S. and Wilk, M. B. 1965. An analysis of variance test for normality (complete samples). Biometrika 52: 591611.CrossRefGoogle Scholar
Turner, H. N. 1982. Origins of the CSIRO Booroola. In The Booroola Merino (ed. Piper, L. R., Bindon, B. M. and Nethery, R. D.), pp. 17. CSIRO, Melbourne.Google Scholar
Van Kaam, J. B. C. H. M. 1995. Analysis of potential of Gibbs sampling compared to current methods of breeding values estimation. M.Sc. thesis, Wageningen Agricultural University. In Dutch with English summary.Google Scholar
Visscher, A. H. and Bekedam, M. 1984. Development of the Texel breed in The Netherlands. Proceedings of the 35th meeting of the European Association of Animal Production, The Hague, section 4.1.Google Scholar
Visscher, A. H., Haandel, B. B. P. G. van and Jong, F. H. de. 1991. Influence of Booroola F-gene on reproductive, growth and carcass characteristics in a Texel flock. Second international workshop on major genes for reproduction in sheep, 16-18 July 1990, Toulouse, France, pp. 391396.Google Scholar