Comparison of molecular breeding values based on within- and across-breed training in beef cattle

@inproceedings{Kachman2012ComparisonOM,
  title={Comparison of molecular breeding values based on within- and across-breed training in beef cattle},
  author={Stephen D. Kachman and Matthew L. Spangler and Gary L. Bennett and Kathryn J Hanford and Larry A. Kuehn and Warren M. Snelling and Richard Mark Thallman and Mahdi Saatchi and Dorian J Garrick and Robert D. Schnabel and Jeremy F. Taylor and Elisabet Pollak},
  booktitle={Genetics Selection Evolution},
  year={2012}
}
Although the efficacy of genomic predictors based on within-breed training looks promising, it is necessary to develop and evaluate across-breed predictors for the technology to be fully applied in the beef industry. The efficacies of genomic predictors trained in one breed and utilized to predict genetic merit in differing breeds based on simulation studies have been reported, as have the efficacies of predictors trained using data from multiple breeds to predict the genetic merit of purebreds… CONTINUE READING
Highly Cited
This paper has 33 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 17 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 27 references

ASReml User Guide Release 3.0

AR Gilmour, BJ Gogel, BR Cullis, R Thompson
Hemel Hempstead: VSN International Ltd; • 2009
View 2 Excerpts
Highly Influenced

GenSel - User Manual for a Portfolio of Genomic Selection Related Analyses

R Fernando, D Garrick
Version 2.12 • 2009
View 3 Excerpts
Highly Influenced

Research and development of trial Brahman BREEDPLAN Tenderness EBVM

D Johnston, H Graser, B Tier
Pfizer Animal Health and American Brahman Breeders Association Introduce Tenderness GE - EPD • 2012

Components of the accuracy of genomic prediction in a multi - breed sheep population

HD Daetwyler, KE Kemper, van der Werf JHJ, BJ Hayes
J Anim Sci • 2011

Similar Papers

Loading similar papers…