Hostname: page-component-8448b6f56d-m8qmq Total loading time: 0 Render date: 2024-04-24T19:28:59.824Z Has data issue: false hasContentIssue false

Estimation of direct additive and maternal additive genetic effects for weaning weight in Mashona cattle of Zimbabwe using an individual animal model

Published online by Cambridge University Press:  02 September 2010

C. T. Khombe
Affiliation:
Macdonald Campus, McGill University, Quebec, Canada
J. F. Hayes
Affiliation:
Macdonald Campus, McGill University, Quebec, Canada
R. I. Cue
Affiliation:
Macdonald Campus, McGill University, Quebec, Canada
K. M. Wade
Affiliation:
Macdonald Campus, McGill University, Quebec, Canada
Get access

Abstract

Weaning weights (or weight nearest to 205 days of age) from 8086 Mashona calves were collected from seven herds covering the period 1976 to 1988. Estimates of (co)variance components were obtained by restricted maximum likelihood using a derivative free algorithm and fitting an individual animal model. Estimates of direct additive heritability, maternal additive heritability, their correlation, total heritability and repeatability, obtained under two models were 0·243 and 0·281, 0·113 and 0·392, –0·282 and –0·269, 0·252 and 0·298, and 0·409 and 0·573, respectively. Trends within herd were estimated from the mean value of progeny born within a particular year. There were no significant trends in direct additive breeding values. A general decline in maternal breeding values was observed. Only one herd (herd 1) had a significant eroiyonmeYital freni (0·385 kg/year). It IMS emphftsilfiti that any future revision of the method used to improve the weaning weights of beef cattle should also improve their maternal breeding values.

Type
Research Article
Copyright
Copyright © British Society of Animal Science 1995

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

Animal Production Research Unit. 1980. Ten years of animal production and range research in Botszvana. Ministry of Agriculture, Gaborone.Google Scholar
Baker, R. L. 1990. The role of maternal effects on the efficiency of selection in beef cattle. A review. Proceedings of the New Zealand Society for Animal Production 40: 285303.Google Scholar
Benyshek, L. L., Johnson, M. H., Little, D. E., Bertrand, J. K. and Kriese, L. A. 1988. Application of an animal model in the United States beef cattle industry. Journal of Dairy Science 71: suppl. 2, pp. 3553.CrossRefGoogle Scholar
Dioniso, A. C. and Syrstad, O. 1990. Production of Nguni and Africander cattle in Mozambique. Livestock Productio Science 24: 2936.CrossRefGoogle Scholar
Gerstmayr, S. 1992. Impact of the data structure on the reliability of the estimated genetic parameters in an animal model with maternal effects. Journal of Animal Breeding and Genetics 109: 321336.CrossRefGoogle Scholar
Graser, H. U., Smith, S. P. and Tier, B. 1987. A derivative free approach for estimating variance components in animal models by restricted maximum likelihood. Journal of Animal Science 64:13621370.CrossRefGoogle Scholar
Kendall, M. G. and Stuart, A. 1968. The advanced theory of statistics. Volume 1. Distribution theory. Griffin, London.Google Scholar
Koch, R. M. 1972. The role of maternal effects in animal breeding. VI. Maternal effects in beef cattle. Journal of Animal Science 35: 13161323.CrossRefGoogle ScholarPubMed
Mackinnon, M. J., Meyer, K. and Hetzel, D. J. S. 1991. Genetic variation and covariation for growth, parasite resistance and heat tolerance in tropical cattle. Livestock Production Science 27:105122.CrossRefGoogle Scholar
Mangus, W. L. and Brinks, J. S. 1971. Relationships between direct and maternal effects on growth in Herefords. I. Environmental factors during preweaning growth. Journal of Animal Science 32:1725.CrossRefGoogle Scholar
Mavrogenis, A. P., Dillard, E. U. and Robison, O. W. 1978. Genetic analysis of postweaning performance of Hereford bulls. Journal of Animal Science 47:10041013.CrossRefGoogle Scholar
Meyer, K. 1989. Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm. Genetics Selection and Evolution 21: 317340.CrossRefGoogle Scholar
Meyer, K. 1991. DF-REML a set of programs to estimate variance components by restricted maximum likelihood using a derivative-free algorithm. User notes. Version 2.0. Animal Genetics and Breeding Unit, University of New England, Armidale. Mimeograph.Google Scholar
Meyer, K. 1992. Variance components due to direct and maternal effects for growth traits of Australian beef cattle. Livestock Production Science 31: 179204.CrossRefGoogle Scholar
Mrode, R. A. and Thompson, R. 1990. Genetic parameters for body weight in beef cattle in Britain. In Proceedings of the fourth world congress on genetics applied to livestock production, Edinburgh, Scotland, Vol. XV, pp. 271274.Google Scholar
Oliver, J. 1983. Beef cattle in Zimbabwe, 1980-81. Zimbabwe Journal of Agricultural Research 21:118.Google Scholar
Preston, T. R. and Leng, R. A. 1987. Matching ruminant systems with available resources in the tropics. International Colour Production, Queensland, Australia.Google Scholar
Robinson, D. L. 1990. Genetic variances and covariances for live weight in Queensland beef cattle. In Proceedings of the eighth conference of the Australian Association for Animal Breeding and Genetics, Hamilton, New Zealand, pp. 435438.Google Scholar
Scholtz, M. M. 1988. Selection possibilities of hardy beef breeds in Africa: the Nguni example. Proceedings of the third world congress on genetics applied to livestock production, vol. 1, beef and sheep breeding, Paris, pp. 1923.Google Scholar
Skaar, B. R. 1985. Direct genetic and maternal variance and covariance component estimates for Angus and Hereford field data. Ph.D. dissertation, Iowa State University, Ames.Google Scholar
Tawonezvi, H. P. R. 1984. Crossbreeding range beef cattle for weaner production in Zimbabwe. Ph.D. thesis, University of Zimbabwe.Google Scholar
Tawonezvi, H. P. R. 1989. Growth of Mashona cattle on range in Zimbabwe. II. Estimates of genetic parameters and predicted response to selection. Tropical Animal Health and Production 21: 170174.CrossRefGoogle ScholarPubMed
Tawonezvi, H. P. R., Brownlee, J. W. I. and Ward, H. K. 1986. Studies on the growth of Nkone cattle. 2. Estimation of genetic improvement in bodymass. Zimbabwe journal of Agricultural Research 24: 3135.Google Scholar
Tawonezvi, H. P. R. and Khombe, C. T. 1986. Growth and food consumption of Mashona bulls from different herds tested (a) Factors affecting individual performance; (b) regression equation for predicting final mass. Zimbabwe journal of Agricultural Research 24: 113130.Google Scholar
Tawonezvi, H. P. R., Ward, H. K., Trail, J. C. M. and Light, D. 1988. Evaluation of beef breeds for rangeland weaner production in Zimbabwe. 1. Productivity of purebred cows. Animal Production 47: 351359.Google Scholar
Thorpe, W. and Cruickshank, D. K. R. 1979. Productivities of cattle breeds in Zambia: results of research at Central Research Station, Mazabuka 1965-1977 and at Mochipapa Regional Research Station, Choma, 1972-1978. Overseas Development Administration, London.Google Scholar
Vilakati, D. 1990. Evaluation of the productivity of Nguni, Brahman, Simmental and crossbreds. The Swaziland National Beef Cattle Breeding Programme, Ministry of Agriculture, Mbabane.Google Scholar
Willham, R. L. 1972. The role of maternal effects in animal breeding. III. Biometrical aspects of maternal effects on anmals. Journal of Animal Science 35:12881293.CrossRefGoogle Scholar