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Estimation of genetic differences between Mashona bulls from different production systems using an animal

Published online by Cambridge University Press:  27 March 2009

C. T. Khombe ,
J. F. Hayes ,
H. P. R. Tawonezvi  and
M. Khombe
C. T. Khombe
Affiliation:
Macdonald Campus, McGill University, Quebec, H9X 3 V9, Canada Makolwli Research Station, Department of Research and Specialist Services, Box 8108, Causeway, Zimbabwe
J. F. Hayes
Affiliation:
Macdonald Campus, McGill University, Quebec, H9X 3 V9, Canada
H. P. R. Tawonezvi
Affiliation:
Makolwli Research Station, Department of Research and Specialist Services, Box 8108, Causeway, Zimbabwe
M. Khombe
Affiliation:
Makolwli Research Station, Department of Research and Specialist Services, Box 8108, Causeway, Zimbabwe
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Summary

This paper reports genetic differences between 20 Mashona bulls from smallholder farms, 14 from Makoholi Research Station, three from commercial farms and two reference sires, in Zimbabwe. An animal model, fitted through the derivative free Restricted Maximum Likelihood program (DFREML), was used to analyse 707 birth weight and 623 weaning weight records. Both the mean breeding values of the reference sires and the ranch bulls were significantly (P < 0·05) higher than the mean breeding values of smallholder bulls for birth weight (by 1·6 and 1·7 kg, respectively) and weaning weight (by 10·4 and 11·0 kg, respectively). However, seven of the 20 bulls from smallholder farms were among the top 45% of bulls with high breeding values for both birth and weaning weight. The mean breeding value of bulls from Makoholi was not different from any of the other groups, for all traits studied. It was proposed that future efforts to form nucleus herds to improve the weaning weights of indigenous cattle should include the genetic pool in smallholder farms.

Type
Animals
Information
The Journal of Agricultural Science , Volume 122 , Issue 3 , June 1994 , pp. 459 - 463
Copyright
Copyright © Cambridge University Press 1994

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References

Adeniji, K. O. (1984). Recommendations for specific breeds and species for conservation by management and preferred techniques. FAO Animal Production and Health Paper 44/1. Rome: FAO.Google Scholar
Animal Production Research Unit (1980). Ten Years of Animal Production and Range Research in Botswana Botswana: Ministry of Agriculture.Google Scholar
Baffour-Awuah, O. & Ward, H. K. (1987). Group breeding: an opportunity for accelerated improvement of Mashona, Nkone and Tuli cattle. In The Indigenous Cattle Breeds of Zimbabwe: Proceedings of a Workshop held at Matopos Research Station (Ed. Grant, J. L.), pp. 53–61. Harare, Zimbabwe: Cattle Co-operative.Google Scholar
Chavunduka, D. M. (1976). The role of cattle in the traditional African society. In Beef Cattle Production in Developing Countries (Ed. Smith, A. J.), pp. 398–403. Edinburgh: Centre for Tropical Veterinary Medicine.Google Scholar
Dionisio, A. C. & Syrstad, O. (1990). Production of Nguni and Africander cattle in Mozambique. Livestock Production Science 24, 29–36.CrossRefGoogle Scholar
International Livestock Centre for Africa (1992). Conservation of animal genetic resources: African project under way. ILCA Newsletter 11 (2), 3–4.Google Scholar
Khombe, C. T., Tawonezvi, H. P. R. & Khombe, M. R. S. (1990). Growth and food consumption of Mashona bulls from different herds tested together, (c) Evaluation of the effectiveness of central performance testing. Zimbabwe Journal of Agricultural Research 28, 83–87.Google Scholar
Meyer, K. (1989). Restricted Maximum Likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm. Genetic Selection and Evaluation 21, 317–340.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 mimeograph. Armidale: Animal Genetics and Breeding Unit, University of New England.Google Scholar
Nobbs, E. A. (1927). The native cattle of Southern Rhodesia. South African Journal of Science 24, 328–332.Google Scholar
Oliver, J. (1983). Beef cattle in Zimbabwe, 1890–1981. Zimbabwe Journal of Agricultural Research 21, 1–18.Google Scholar
Scholtz, M. M. (1988). Selection possibilities of hardy beef breeds in Africa. The Nguni example. In Proceedings of the 3rd World Congress on Genetics Applied to Livestock Production. 1. Beef and Sheep Breeding, pp. 19–23. Paris.Google Scholar
Setshwaelo, L. L. (1990). Beef cattle breeding in the tropics. In Proceedings of the 4th World Congress of Genetics Applied to Livestock Production. XIV. Dairy cattle genetics and breeding, adaptation, conservation (Eds Hill, W. G.,Thompson, R. & Woolliams, J. A.), pp. 349–359. Edinburgh.Google Scholar
Tawonezvi, H. P. R., Brownlee, J. W. T. & Ward, H. K.. (1986). Studies on the growth of Nkone cattle. 3. Estimation of genetic parameters. Zimbabwe Journal of Agricultural Research 24, 37–42.Google Scholar
Tawonezvi, H. P. R., Ward, H. K., Trail, J. C. M. & Light, D. (1988). Evaluation of beef breeds for rangeland weaner production in Zimbabwe. 1. Productivity of purebred cows. Animal Production 47, 351–359.Google Scholar
Thorpe, W. & 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. Mbabane: Ministry of Agriculture.Google Scholar