Opportunities and challenges from the use of genomic selection for beef cattle breeding in Latin America

Animal Frontiers

Volumn 2, Issue 1, 2012, Pages 23-29

  Montaldo, Hugo H ^a   Casas, Eduardo ^b   Ferraz, José Bento Sterman ^c   Vega Murillo, Vicente E ^d   Román Ponce, Sergio Iván ^d,e  

^a UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^b NATIONAL ANIMAL DISEASE CENTER   (United States)

^c UNIVERSITY OF SÃO PAULO   (Brazil)

^d INSTITUTO NACIONAL DE INVESTIGACIONES FORESTALES   (Mexico)

^e UNIVERSITY OF MILAN   (Italy)

Author keywords

Beef cattle; Breeding program; Genome wide association study; Latin America; Selection; Single nucleotide polymorphism

Indexed keywords

EID: 84882697450     PISSN: 21606056     EISSN: 21606064     Source Type: Journal    
DOI: 10.2527/af.2011-0029     Document Type: Article

References (24)

1. Arelovich, H. M., R. D. Bravo, and M. F. Martínez. 2011. Development, characteristics, and trends for beef cattle production in Argentina. Anim. Front. 1(2):37-45. doi:10.2527/af.2011-0021
2. Bolormaa, S., J. E. Pryce, B. J. Hayes, and M. E. Goddard. 2010. Multivariate analysis of a genome-wide association study in dairy cattle. J. Dairy Sci. 93:3818-3833
3. Bullock, K. D., and E. J. Pollak. 2009. Beef Symposium: The evolution of beef cattle genetic evaluation. J. Anim. Sci. 87 (E-Suppl.):E1-E2
4. Calus, M. P. L. 2010. Genomic breeding value prediction: Methods and procedures. Animal 4:157-164
5. Chan, E. K. F., R. Hawken, and A. Reverter. 2009. The combined effect of SNPmarker and phenotype attributes in genome-wide association studies. Anim. Genet. 40:149-156
6. Cole, J. B., G. R. Wiggans, L. Ma, T. S. Sonstegard, T. J. Lawlor Jr., B. A. Cooker, C. P. Van Tassell, J. Yang, S. Wang, L. Matukumalli, and Y. Da. 2011. Genomewide association analysis of thirty-one production, health, reproduction and body conformation traits in contemporary U.S. Holstein cows. BMC Genomics 12:408
7. CONARGEN (Consejo Nacional de los Recursos Genéticos Pecuarios). 2010. Guía Técnica de programas de control de producción y mejoramiento genético en Bovinos de carne. Consejo Nacional de los Recursos Genéticos Pecuarios, México, D. F. Accessed Nov. 17, 2011. http://www.conargen.mx/documentos/ guias/guiabovinoscarne.pdf
8. Domingues Millen D., R. Dias Lauritano Pacheco, P. M. Meyer, P. H. Mazza Rodrigues, and A. De Beni Arrigoni. 2011. Current outlook and future perspectives of beef production in Brazil. Anim. Front. 1(2):46-52. doi:10.2527/ af.2011-0017
9. FAO (Food and Agriculture Organization of the United Nations). 2011. Faostat. Accessed Oct. 2, 2011. FAO, Rome, Italy. faostat.fao.org/
10. Ferraz, J. B. S., and P. E. de Felício. 2010. Production systems-An example from Brazil. Meat Sci. 84:238-243
11. Galyean, J. L., C. Ponce, and J. Schutz. 2011. The future of beef production in North America. Anim. Front. 1(2):29-36. doi:10.2527/af.2011-0013
12. Garrick, D. J., and B. L. Golden. 2009. Producing and using genetic evaluations in the United States beef industry of today. J. Anim. Sci. 87(E-Suppl.):E11-E18
13. Goddard, M. E., and B. J. Hayes. 2009. Mapping genes for complex traits in domestic animals and their use in breeding programmes. Nat. Rev. Genet. 10:381-391
14. Goddard, M. E., B. J. Hayes, and T. H. E. Meuwissen. 2010. Genomic selection in livestock populations. Genet. Res. (Camb.) 92:413-421. doi:10.1017/ S0016672310000613
15. Jiang, L., J. Liu, D. Sun, P. Ma, X. Ding, Y. Yu, and Q. Zhang. 2010. Genome wide association studies for milk production traits in Chinese Holstein population. PLoS ONE 5:e13661
16. Kuehn, L. A., J. W. Keele, G. L. Bennett, T. G. McDaneld, T. P. L. Smith, W. M. Snelling, T. S. Sonstegard, and R. M. Thallman. 2011. Predicting breed composition using breed frequencies of 50,000 markers from the US Meat Animal Research Center 2,000 Bull Project. J. Anim. Sci. 89:1742-1750
17. 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
18. Peel, D. S., R. J. Johnson, and K. H. Mathews Jr. 2010. Cow-Calf Beef Production in Mexico. Outlook Rep. No. LDPM-196-01. US Dept. Agric., Econ. Res. Serv., Washington, DC. Accessed Nov. 17, 2011. http://www.ers.usda.gov/ Publications/LDP/2010/10Oct/LDPM19601/
19. Pryce, J. E., S. Bolormaa, A. J. Chamberlain, P. J. Bowman, K. Savin, M. E. Goddard, and B. J. Hayes. 2010. A validated genome-wide association study in 2 dairy cattle breeds for milk production. J. Dairy Sci. 93:3331-3345
20. Schmitt, A. O., R. H. Bortfeldt, and G. A. Brockman. 2010. Tracking chromosomal positions of oligomers-A case study with Illumina's BovineSNP50 beadchip. BMC Genomics 11:80
21. Snelling, W. M., M. F. Allan, J. W. Keele, L. A. Kuehn, T. G. McDaneld, T. P. L. Smith, T. S. Sonstegard, R. M. Thallman, and G. L. Bennett. 2010. Genomewide association study of growth in crossbred beef cattle. J. Anim. Sci. 88:837-848
22. Snelling, W. M., M. F. Allan, J. W. Keele, L. A. Kuehn, R. M. Thallman, G. L. Bennett, C. L. Ferrell, T. G. Jenkins, H. C. Freetly, M. K. Nielsen, and K. M. Rolfe. 2011. Partial-genome evaluation of postweaning feed intake and efficiency of crossbred beef cattle. J. Anim. Sci. 89:1731-1741
23. VanRaden, P. M. 2008. Efficient methods to compute genomic predictions. J. Dairy Sci. 91:4414-4423
24. Wiggans, G. R., T. S. Sonstegard, P. M. VanRaden, L. K. Matukumalli, R. D. Schnabel, J. F. Taylor, F. S. Schenkel, and C. P. van Tassell. 2009. Selection of single-nucleotide polymorphisms and quality of genotypes used in genomic evaluation of dairy cattle in the United States and Canada. J. Dairy Sci. 92:3431-3436