References
- Abecasis, G. R., S. S. Cherny, W. O. Cookson and L. R. Cardon. 2002. Merlin-rapid analysis of dense genetic maps using sparse gene flow trees. Nat. Genet. 30:97-101 https://doi.org/10.1038/ng786
- Barendse, W., A. Reverter, R. J. Bunch, B. E. Harrison, W. Barris and M. B. Thomas. 2007. A validated whole-genome association study of efficient food conversion in cattle. Genetics 176:1893-1905 https://doi.org/10.1534/genetics.107.072637
- Benjamini, Y. and Y. Hochberg. 1995. Controlling the false discovery rat: a practical and powerful approach to multiple testing. J. R. Stat. Sco. B. 57:289-300
- Casas, E., S., D. Shackelford, J. W. Keele, R. T. Stone, S. M. Kappes and M. Koohmaraie. 2000. Quantitative trait loci affecting growth and carcass composition of cattle segregating alternate forms of myostatin. J. Anim. Sci. 78:560-569
- Casas, E., S. D. Shackelford, J. W. Keele, M. Koohmaraie, T. P. L. Smith and R. T. Stone. 2003. Detection of quantitative trait loci for growth and carcass composition in cattle. J. Anim. Sci. 81:2976-2983
- Casas, E., J. W. Keele, S. D. Shackelford, M. Koohmaraie and R. T. Stone. 2004. Identification of quantitative trait loci for growth and carcass composition in cattle. Anim. Genet. 35:2-6 https://doi.org/10.1046/j.1365-2052.2003.01067.x
- Churchill, G. A. and R. W. Doerge. 1994. Empirical threshold values for quantitative trait mapping. Genetics 138:963-971
- Decker, J. E., J. C. Pires, G. C. Conant, S. D. McKay, M. P. Heaton, J. Vilkki, C. M. Seabury, A. R. Caetano, G. S. Johnson, R. A. Brenneman, O. Hanotte, L. S. Eggert, P. Wiener, J.-J. Kim, K. S. Kim, T. S. Sonstegard, C. van Tassell, H. L. Neibergs, K. Chen, A. Cooper, J. McEwan, R. Brauning, M. C. McClure, M. M. Rolf, J. Kim, R. D. Schnabel and J. F. Taylor. 2009. Resolving the evolution of extant and extinct ruminants with high-throughput phylogenomics. Proc. Natl. Acad. Sci. USA 106:18644-18649 https://doi.org/10.1073/pnas.0904691106
- Devlin, B. and N. Risch. 1995. A comparison of linkage disequilibrium measures for fine-scale mapping. Genomics 29:311-322 https://doi.org/10.1006/geno.1995.9003
- Druet, T., S. Fritz, D. Biochard and J. J. Colleau. 2006. Estimation of genetic parameters for quantitative trait loci for dairy traits in the French Holstein population. J. Dairy Sci. 89:4070-4076 https://doi.org/10.3168/jds.S0022-0302(06)72451-1
- Eck, S. H., A. benet-Pages, K. Flisikowski, T. Meitinger, R. Fries and T. M. Strom. 2009. Whole genome sequencing of a single Bos taurus animal for single nucleotide polymorphism discovery. Genome Biol. 10:R82 https://doi.org/10.1186/gb-2009-10-8-r82
- Falconer, D. S. and T. F. C. Mackay. 1996. Introduction to quantitative genetics. 4rh ed. Pearson/Prentice Hall. London
- Goddard, M. E., B. Hayes, H. McPartlan and A. J. Chamberlain. 2006. Can the same genetic markers be used in multiple breeds? 8th World Congress on Genetics Applied to Livestock Production. Belo Horizonte, Brazil, 8 pp. 14-22
- Hayes, B. J., P. J. Bowman, A. J. Chamberlain and M. E. Goddard. 2009. Invited review: genomic selection in dairy cattle: progress and challenges. J. Dairy Sci. 92:433-443 https://doi.org/10.3168/jds.2008-1646
- Kim, J.-J., F. Farnir, J. Savell and J. F. Taylor. 2003. Detection of quantitative trait loci for growth and beef carcass fatness traits in a cross between Bos taurus (Angus) and Bos indicus (Brahman) cattle. J. Anim. Sci. 81:1933-1942
- Li, C., J. Basarab, W. M. Snelling, B. Benkel, J. Kneeland, B. Murdoch, C. Hansen and S. S. Moore. 2004. Identification and fine mapping of quantitative trait loci for backfat on bovine chromosomes 2, 5, 6, 19, 21, and 23 in a commercial line of Bos taurus. J. Anim. Sci. 82:967-972
- 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 chip. Proc. Plant and Animal Genome XVI. San Diego, CA
- Neter, J., W. Wasserman and M. H. Kutner. 1990. Applied linear statistical models. 3rd ed. Irwin. Boston
- Sellner, E. M., J. W. Kim, M. C. McClure, K. H. Taylor, R. D. Schnabel and J. F. Taylor. 2007. Board-invited review: Application of genomic information in livestock. J. Anim. Sci. 85:3148-3158 https://doi.org/10.2527/jas.2007-0291
- Sherman, E. L., J. D. Nkrumah and S. S. Moore. 2010. Whole genome single nucleotide polymorphism associations with feed intake and feed efficiency in beef cattle. J. Anim. Sci. 88:16-22 https://doi.org/10.2527/jas.2008-1759
- Takasuga, A., T. Watanabe, Y. Mizoguchi, T. Hirano, N. Ihara, A. Takano, K. Yokouchi, A. Fujikawa, K. Chiba, N. Kobayashi, K. Tatsuda, T. Oe, M. Furukawa-Kuroiwa, A. Nishimura-Abe, T. Fujita, K. Inoue, K. Mizoshita, A. Ogino and Y. Sugimoto. 2007. Identification of bovine QTL for growth and carcass traits in Japanese Black cattle by replication and identical-bydescent mapping. Mamm. Genome 18:125-136 https://doi.org/10.1007/s00335-006-0096-5
- The Bovine Genome Sequencing and Analysis Consortium, C. G. Elsik, R. L. Tellam and K. C. Worley. 2009. The genome sequence of taurine cattle: a window to ruminant biology and evolution. Science 324:522-528 https://doi.org/10.1126/science.1169588
- Van Eenennaam, A. L., J. Li, R. M. Thallman, R. L. Quaas, M. E. Dikeman, C. A. Gill, D. E. Franke and M. G. Thomas. 2007. Validation of commercial DNA tests for quantitative beef quality traits. J. Anim. Sci. 85:891-900 https://doi.org/10.2527/jas.2006-512
- Van Tassell, C. P., T. P. L. Smith, L. K. Matukumalli, J. F. Taylor, R. D. Schnabel, C. T. Lawley, C. D. Haudenschild, S. S. Moore, W. C. Warren and T. S. Sonstegard. 2008. SNP discovery and allele frequency estimation by deep sequencing of reduced representation libraries. Nat. Methods 5:247-252 https://doi.org/10.1038/nmeth.1185
- Zimin, A. V., A. L. Delcher, L. Florea, D. R. Kelley, M. C. Schatz, D. Puiu, F. Hanrahan, G. Pertea, C. P. van Tassell, T. S. Sonstegard, G. Marcais, M. Roberts, P. Subramanian, J. A. Yorke and S. L. Salzberg. 2009. A whole-genome assembly of the domestic cow, Bos taurus. Genome Biol. 10:R42 https://doi.org/10.1186/gb-2009-10-4-r42
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