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Strategy for applying genome‐wide selection in dairy cattle
Abstract
Summary: Animals can be genotyped for thousands of single nucleotide polymorphisms (SNPs) at one time, where the SNPs are located at roughly 1‐cM intervals throughout the genome. For each contiguous pair of SNPs there are four possible haplotypes that could be inherited from the sire. The effects of each interval on a trait can be estimated for all intervals simultaneously in a model where interval effects are random factors. Given the estimated effects of each haplotype for every interval in the genome, and given an animal's genotype, a ‘genomic’ estimated breeding value is obtained by summing the estimated effects for that genotype. The accuracy of that estimator of breeding values is around 80%. Because the genomic estimated breeding values can be calculated at birth, and because it has a high accuracy, a strategy that utilizes these advantages was compared with a traditional progeny testing strategy under a typical Canadian‐like dairy cattle situation. Costs of proving bulls were reduced by 92% and genetic change was increased by a factor of 2. Genome‐wide selection may become a popular tool for genetic improvement in livestock.
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Citations
Cited by
Efficient Methods to Compute Genomic Predictions
VanRaden, P. M. (2008) · Journal of Dairy Science · doi:10.3168/jds.2007-0980 · Cited by 6,050
Association mapping: critical considerations shift from genotyping to experimental design
Myles, S., Peiffer, J., Brown, P. J., Ersoz, E. S., Zhang, Z., Costich, D. E., & Buckler, E. S. (2009) · The Plant Cell · doi:10.1105/tpc.109.068437 · Cited by 857
Goddard, M. E., & Hayes, B. J. (2007) · Journal of Animal Breeding and Genetics · doi:10.1111/j.1439-0388.2007.00702.x · Cited by 721
The impact of genetic relationship information on genomic breeding values in German Holstein cattle
Habier, D., Tetens, J., Seefried, F.-R., Lichtner, P., & Thaller, G. (2010) · Genetics Selection Evolution · doi:10.1186/1297-9686-42-5 · Cited by 455
Prediction of response to marker‐assisted and genomic selection using selection index theory
Dekkers, J. C. M. (2007) · Journal of Animal Breeding and Genetics · doi:10.1111/j.1439-0388.2007.00701.x · Cited by 398
Metadata
- Authors
- Schaeffer, L. R.
- Venue
- Journal of Animal Breeding and Genetics
- Publisher
- Wiley
- Published
- 2006-07-11
- Volume
- 123
- Issue
- 4
- Pages
- 218-223
- ISSN
- 0044-3581 (ISSN-L)
- 0931-2668
- 1439-0388
- OpenAlex
- W2108583185
- Cited by
- 861
- References
- 0
- FWCI
- 12.37
- Type
- journal article
- Language
- en
- Open access
- closed
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