Genomic prediction of simulated multibreed and purebred performance using observed fifty thousand single nucleotide polymorphism genotypes

Journal of Animal Science

Volumn 88, Issue 2, 2010, Pages 544-551

  Kizilkaya, K ^a,b   Fernando, R L ^a   Garrick, D J ^a,c  

^a IOWA STATE UNIVERSITY   (United States)

^b ADNAN MENDERES UNIVERSITY   (Turkey)

^c MASSEY UNIVERSITY   (New Zealand)

Author keywords

Across breed genomic prediction; Bayesian model averaging; Marker density; Single nucleotide polymorphism marker panel

Indexed keywords

ANIMAL; ANIMAL HUSBANDRY; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; BREEDING; CATTLE; GENE LINKAGE DISEQUILIBRIUM; GENETIC MARKER; GENETICS; GENOTYPE; GROWTH, DEVELOPMENT AND AGING; HYBRIDIZATION; METHODOLOGY; PHENOTYPE; QUANTITATIVE TRAIT; SINGLE NUCLEOTIDE POLYMORPHISM;

ANIMAL HUSBANDRY; ANIMALS; BAYES THEOREM; BREEDING; CATTLE; GENETIC MARKERS; GENOTYPE; HYBRIDIZATION, GENETIC; LINKAGE DISEQUILIBRIUM; MODELS, GENETIC; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT, HERITABLE;

ANIMALIA;

EID: 75949112012     PISSN: 00218812     EISSN: 15253163     Source Type: Journal    
DOI: 10.2527/jas.2009-2064     Document Type: Article

References (13)

1. Dekkers, J. C. M. 2007. Marker-assisted selection for commercial crossbred performance. J. Anim. Sci. 85:2104-2114.
2. Falconer, D. S., and T. F. C. Mackay. 1996. Introduction to Quantitative Genetics. Longman Group, Essex, UK.
3. Fernando, R. L., and D. J. Garrick. 2008. GenSel-User manual for a portfolio of genomic selection related analyses. Animal Breeding and Genetics, Iowa State University, Ames. http://taurus.ansci.iastate.edu/gensel Accessed Apr. 21, 2009.
4. Fernando, R. L., D. Habier, C. Sticker, J. C. M. Dekkers, and L. R. Totir. 2007. Genomic selection. Acta Agriculturae Scand. Section A 57:192-195.
5. Hassen, A., D. E. Wilson, and G. H. Rouse. 2003. Estimation of genetic parameters for ultrasound-predicted percentage of intramuscular fat in Angus cattle using random regression models. J. Anim. Sci. 81:35-45.
6. Henderson, C. R. 1984. Applications of Linear Models in Animal Breeding. Univ. Guelph, Guelph, Ontario, Canada.
7. Ibánez-Escriche, N., R. L. Fernando, A. Toosi, and A. J. C. M. Dekkers. 2009. Genomic selection of purebreds for crossbred performance. Genet. Sel. Evol. 41:12.
8. Matukumalli, L. K., R. D. Schnabel, C. T. Lawley, T. S. Sonstegard, T. P. L. Smith, S. S. Moore, J. F. Taylor, and C. P. Van Tassell. 2008. Characterization of the cattle HapMap population using the Illumina Bovine-50K SNP chip. Proc. Plant and Animal Genome XVI. San Diego, CA.
9. Meuwissen, T. H. E., B. J. Hayes, and M. E. Goddard. 2001. Prediction of total genetic value using genome-wide dense marker maps. Genetics 157:1819-1829.
10. Sorensen, D., and D. Gianola. 2002. Likelihood, Bayesian, and MCMC in Quantitative Genetics. Springer-Verlag, New York, NY.
11. Thallman, R. M., D. W. Moser, E. W. Dressler, L. R. Totit, R. L. Fernando, S. D. Kachman, J. M. Rumph, M. E. Dikeman, and E. J. Pollak. 2003. Carcass merit project: DNA marker validation. Proc. Beef Improv. Fed. 8th Genet. Prediction Workshop 8:70-90.
12. Toosi, A., R. L. Fernando, J. C. M. Dekkers, and R. L. Quaas. 2008. Genomic selection for purebreds using data from admixed populations. J. Anim. Sci. 86(E-Suppl. 2):361. (Abstr.)
13. Toosi, A., R. L. Fernando, J. C. M. Dekkers, and R. L. Quaas. 2009. Genomic selection in admixed and crossbred populations. J.Anim. Sci. 88:32-46.