Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-27T19:09:34.707Z Has data issue: false hasContentIssue false
  • English
  • Français

The use of loci associated with quantitative effects in dairy cattle improvement

Published online by Cambridge University Press:  02 September 2010

M. Soller
M. Soller
Affiliation:
Department of Genetics, The Hebrew University, Jerusalem, Israel
Get access

Abstract

The use in dairy cattle improvement of loci associated with quantitative effects that might be found by genetic analysis is discussed. These methods can make a significant contribution only if they result in the identification of quantitative loci whose inheritance can be followed in a simple Mendelian manner. Another possibility, the identification of genetic components of production having a higher heritability than overall production, would make only a minor contribution to increased genetic progress. Selection of young males, according to the estimated breeding value associated by linkage with particular marker alleles in their sire, will not make a detectable contribution to genetic improvement.

Type
Research Article
Information
Animal Production , Volume 27 , Issue 2 , October 1978 , pp. 133 - 139
Copyright
Copyright © British Society of Animal Science 1978

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

REFERENCES

Falconer, D. S. 1960. Introduction to Quantitative Genetics. Oliver and Boyd, Edinburgh.Google Scholar
Geldermann, H. 1976. Investigations on inheritance of quantitative characters in animals by gene markers. II. Expected effects. Theor. Appl. Genet. 47: 1–4.CrossRefGoogle ScholarPubMed
Hill, A. P. 1975. Quantitative linkage; statistical procedure of its detection and estimation. Ann. hum. Genet. 38: 439–449.CrossRefGoogle ScholarPubMed
Jayakar, S. D. 1970. On the detection and estimation of linkage between a locus influencing a quantitative character and a marker locus. Biometrics 26: 451–466.CrossRefGoogle Scholar
McMillan, I. and Robertson, A. 1974. The power of methods for the detection of majorgenes affecting quantitative characters. Heredity, Land. 32: 349–356.CrossRefGoogle Scholar
Neimann-Sorensen, A. and Robertson, A. 1961. The association between blood groups and several production characteristics in three Danish cattle breeds. Acta Agric. scand. 11: 163–196.CrossRefGoogle Scholar
Owen, J. B. 1975. Selection of dairy bulls on half-sister records. Anim. Prod. 20: 1–10.Google Scholar
Robertson, A. 1973. Linkage between marker loci and those affecting a quantitativetrait. Behav. Genet. 3: 389–391.CrossRefGoogle Scholar
Sales, Jill and Hill, W. G. 1976. Effect of sampling errors on efficiency of selection indices. 2. Use of information on associated traits for improvement of a single important trait. Anim. Prod. 23: 1–14.Google Scholar
Smith, C. 1967. Improvement of metric traits through specific genetic loci. Anim. Prod. 9: 349–358.Google Scholar
Soller, M. and Genizi, A. 1978. On the power of experimental designs for the detection of linkage between a marker locus and a locus affecting a quantitative trait in segregating populations. Biometrics 34. In press.Google Scholar
Spickett, S. G. 1963. Genetic and developmental studies of a quantitative character. Nature, Lond. 199: 870–873.CrossRefGoogle ScholarPubMed
Spickett, S. G., Shire, J. G. M. and Stewart, J. 1967. Genetic variation in adrenal and renal structure and function. Mem. Soc. Endocr. 15: 271–288.Google Scholar