Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-24T07:20:06.241Z Has data issue: false hasContentIssue false
  • English
  • Français

Introgression of genes responsible for disease resistance in a cattle population selected for production: genetic and economic consequences

Published online by Cambridge University Press:  18 August 2016

E.H. van der Waaij  and
J.A.M. van Arendonk
E.H. van der Waaij
Affiliation:
Animal Breeding and Genetics Group, Wageningen Institute of Animal Sciences, Wageningen University, PO Box 338, 6700 AH Wageningen, The Netherlands
J.A.M. van Arendonk
Affiliation:
Animal Breeding and Genetics Group, Wageningen Institute of Animal Sciences, Wageningen University, PO Box 338, 6700 AH Wageningen, The Netherlands
Get access

Abstract

The genetic and economic consequences of introgression of either one or two genes that explain the complete between-breed difference for disease resistance between donor and recipient breeds were investigated. Four backcross strategies (0, 1, 3 or 7 generations of backcrossing) were compared for four initial breed differences (0·1, 1, 2·5 and 5 phenotypic s.d.) when female reproductive capacity was either high (10 offspring) or lower (four offspring). Selection in donor and recipient populations was for production using a selection index. Genetic comparison was based on production level between the hybrid population, after fixation of the disease resistance alleles, and the donor population. Tor a large initial breed difference and high female reproductive capacity, application of seven generations of backcrossing resulted in the largest genetic difference between donor and hybrid populations. Introgression of one or two genes made no difference to the genetic results. From an economic point of view, optimal number of generations depends on the number of genes involved in the introgression, on the female reproductive capacity and ön the initial breed difference. Seven generations of backcrossing in most cases are too many and none to three generations of backcrossing often is more optimal. Introgression of two genes is economically less attractive, especially in case of low female reproduction capacity.

Keywords

cattledisease resistanceintrogressionproduction
Type
Breeding and genetics
Information
Animal Science , Volume 70 , Issue 2 , April 2000 , pp. 207 - 220
Copyright
Copyright © British Society of Animal Science 2000

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

Bredbacka, P. 1998. Recent developments in embryo sexing and its field application. Reproduction, Nutrition, Development 38: 605–613.CrossRefGoogle ScholarPubMed
Bulmer, M.G. 1971. The effect of selection on genetic variability. American Naturalist 105: 201–211.Google Scholar
Burrows, P. M. 1972. Expected selection differentials for directional selection. Biometrics 28:1091–1100.CrossRefGoogle ScholarPubMed
Dijkhuizen, A. A. and Morris, R. S. 1997. Animal health economics. Principles and applications. Post Graduate Foundation publication of the University of Sydney, Sydne.Google Scholar
Falconer, D. S. 1989. Introduction to quantitative genetics, third edition. Longman Scientific and Technical, New York.Google Scholar
Food and Agriculture Organization. 1999. Productivity of trypanotolerant livestock. Animal production and health paper no. 20, pp. 87–97.Google Scholar
Gama, L. T., Smith, C. and Gibson, J.P. 1992. Transgene effects, introgression strategies and testing schemes in pigs. Animal Production 54: 427–440.Google Scholar
Gowe, R. S., Robertson, A. and Latter, B. D. H. 1959. Environment and poultry breeding problems. 5. The design of poultry control strains. Poultry Science 38: 462–471.Google Scholar
Groen, A. F. and Smith, C. 1995. A stochastic simulation study of the efficiency of marker-assisted introgression in livestock. Journal of Animal Breeding and Genetics 112: 161–170.Google Scholar
Heelsum, A.M.van, Visscher, P. M. and Haley, C.S. 1997a. Marker-assisted introgression using non-unique marker alíeles. I. Selection on the presence of linked marker alíeles. Animal Genetics 28:181–187.Google Scholar
Heelsum, A. M. van, Visscher, P.M. and Haley, C. S. 1997b. Marker-assisted introgression using non-unique marker alíeles. II. Selection on probability of presence of the introgressed alíele. Animal Genetics 28:188–194.Google Scholar
Hill, W. G., Caballero, A. and Dempfle, L. 1996. Prediction of response to selection within families. Genetics, Selection, Evolution 28: 379–383.Google Scholar
Hospital, F. and Charcosset, A. 1997. Marker-assisted introgression of quantitative trait loci. Genetics 147: 1469–1485.Google Scholar
Hospital, F., Chevalet, A. and Mulsant, P. 1992. Using markers in gene introgression breeding programs. Genetics 132:1199–1210.Google Scholar
International Laboratory for Research into Animal Diseases. 1989. N’Dama cattle: managing Africa’s genetic resources. ILRAD report, October 1989. Intern publication, Nairobi.Google Scholar
Kemp, S.J., Iraqi, F., Darvasi, A., Soller, M. and Teale, A. J. 1997. Localization of genes controlling resistance to trypanosomiasis in mice. Nature Genetics 16:194–196.Google Scholar
Koudandé, O. D., Thomson, P.C. and Arendonk, J. A. M. van. 1999. A model for population growth of laboratory animals subjected to marker-assisted introgression: how many animals do we need? Heredity 82:16–24.Google Scholar
Lande, R. 1981. The minimum number of genes contributing to quantitative variation between and within populations. Genetics 99: 541–553.Google Scholar
Murray, M., Trail, J. C. M., Davis, C. E. and Black, S. J. 1984. Genetic resistance to African trypanosomiasis. Journal of Infectious Diseases 149: 311–319.Google Scholar
Paling, R. W. and Dwinger, R. H. 1993. Potential of trypanotolerance as a contribution to sustainable livestock production in tsetse affected Africa. Veterinary Quarterly 15: 60–67.CrossRefGoogle ScholarPubMed
Tanksley, S. D. 1983. Molecular markers in plant breeding. Plant Molecular Biology 1: 3–8.Google Scholar
Trail, J. C. M., d’leteren, G. D. M., Maille, J. C. and Yangari, G. 1991. Genetic aspects of anaemia development in trypanotolerant N’Dama cattle. Acta Tropica 48: 285–291.CrossRefGoogle ScholarPubMed
Visscher, P. M. and Haley, C. S. 1999. On the efficiency of marker-assisted introgression. Animal Science 68: 59–68.Google Scholar
Visscher, P. M., Haley, C.S. and Thompson, R. 1996. Marker-assisted introgression in backcross breeding programs. Genetics 144: 1923-1932.Google Scholar
Zeng, Z.-B. 1990. How informative is Wright’s estimator of the number of genes affecting a quantitative character? Genetics 126: 235–247.Google Scholar
Zeng, Z.-B. 1992. Correcting the bias of Wright’s estimates of the number of genes affecting a quantitative character: a further improved method. Genetics 131: 987–1001.Google Scholar