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Understanding genomic selection in poultry breeding

Published online by Cambridge University Press:  15 May 2014

A. WOLC*
Affiliation:
Hy-Line International, Dallas Center, IA, USA Iowa State University, Ames, IA, USA
*
Corresponding author: awolc@hyline.com
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Abstract

Genomic selection is a recent paradigm shift for both animal and plant breeding. The availability of hundreds of thousands of markers covering the entire genome has provided an opportunity to increase the accuracy of estimated breeding values, better manage genetic variation and shorten generation intervals. This paper summarises how these new technologies can be applied to poultry breeding programmes to enhance genetic improvement.

Type
Review Article
Copyright
Copyright © World's Poultry Science Association 2014 

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References

AVIAGEN (2012) Aviagen includes genomics information for the on-going improvement of its broiler products. http://en.aviagen.com/aviagen-includes-genomics-information-for-the-on-going-improvement-of-its-broiler-products. Accessed on 07.10.2013.Google Scholar
BRILES, W.E., STONE, H.A. and COLE, R.K. (1977) Marek's disease: effects of B histocompatibility alloalleles in resistant and susceptible chicken lines. Science 195: 193-195.Google Scholar
COBB (2012) How Cobb is meeting changing market demand. http://www.thepoultrysite.com/articles/2685/how-cobb-is-meeting-changing-market-demand. Accessed on 07.10.2013.Google Scholar
HAZEL, L.N. (1943) The genetic basis for constructing selection indexes. Genetics 28: 476-490.Google Scholar
HENDERSON, C.R. (1950) Estimation of genetic parameters. Biometrics 6: 186.Google Scholar
HY-LINE INTERNATIONAL (2013) Hy-Line Int invests in multi-year expansion program. http://www.worldpoultry.net/Breeders/Markets-Trade/2013/7/Hy-Line-Int-invests-in-multi-year-expansion-program-1317128W/. Accessed on 07.10.2013.Google Scholar
ISA (2013) New SNP chip to speed up ISA's 500 eggs mission. http://www.isapoultry.com/en/news/new-snp-chip/. Accessed on 07.10.2013.Google Scholar
MEUWISSEN, T.H.E., HAYES, B.J. and GODDARD, M.E. (2001) Prediction of total genetic value using genome-wide dense marker maps. Genetics 157: 1819-1829.Google Scholar
QUAAS, R.L. and POLLAK, E.J. (1980) Mixed model methodology for farm and ranch beef cattle testing programs. Journal of Animal Science 51: 1277-1287.CrossRefGoogle Scholar
WOLC, A., STRICKER, C., ARANGO, J., SETTAR, P., FULTON, J.E., O'SULLIVAN, N., HABIER, D., FERNANDO, R., GARRICK, D.J., LAMONT, S.J. and DEKKERS, J.C.M. (2011) Breeding value prediction for production traits in layers using pedigree and marker based methods. Genetics Selection Evolution 43: 5.Google Scholar