Golden BL, Garrick DJ, Benyshek LL. Milestones in beef cattle genetic evaluation. J Anim Sci. 2009;87(14 Suppl):E3–10. doi:10.2527/jas.2008-1430.
Article
PubMed
CAS
Google Scholar
Carolino I, Sousa CO, Ferreira S, Carolino N, Silva FS, Gama LT. Implementation of a parentage control system in Portuguese beef-cattle with a panel of microsatellite markers. Genet Mol Biol. 2009;32(2):306–11. doi:10.1590/S1415-47572009005000026.
Article
PubMed
PubMed Central
Google Scholar
Fernandez ME, Goszczynski DE, Liron JP, Villegas-Castagnasso EE, Carino MH, Ripoli MV, et al. Comparison of the effectiveness of microsatellites and SNP panels for genetic identification, traceability and assessment of parentage in an inbred Angus herd. Genet Mol Biol. 2013;36(2):185–91. doi:10.1590/S1415-47572013000200008.
Article
PubMed
CAS
PubMed Central
Google Scholar
Orru L, Napolitano F, Catillo G, Moioli B. Meat molecular traceability: how to choose the best set of microsatellites? Meat Sci. 2006;72(2):312–7. doi:10.1016/j.meatsci.2005.07.018.
Article
PubMed
CAS
Google Scholar
Vazquez JF, Perez T, Urena F, Gudin E, Albornoz J, Dominguez A. Practical application of DNA fingerprinting to trace beef. J Food Prot. 2004;67(5):972–9.
PubMed
CAS
Google Scholar
Dimauro C, Cellesi M, Steri R, Gaspa G, Sorbolini S, Stella A, et al. Use of the canonical discriminant analysis to select SNP markers for bovine breed assignment and traceability purposes. Anim Genet. 2013;44(4):377–82. doi:10.1111/age.12021.
Article
PubMed
CAS
Google Scholar
Ferguson LC. The blood groups of cattle. J Am Vet Med Assoc. 1947;111(849):466–9.
PubMed
CAS
Google Scholar
Ferguson LC. Heritabe antigens in the erythrocytes of cattle. J Immun Balt. 1941;40:213–42.
Google Scholar
Irwin MR, editor. Blood grouping and its utilization in animal breeding. VII International Congress of Animal Husbandry. Madrid: Executive Commission of the Congress; 1956.
Google Scholar
Stormont C, editor. On the application of blood groups in animal breeding. X International Congress of Genetics. Montreal, Canada: University of Toronto Press; 1958.
Google Scholar
Jeffreys AJ, Wilson V, Thein SL. Individual-specific ‘fingerprints’ of human DNA. Nature. 1985;316(6023):76–9.
Article
PubMed
CAS
Google Scholar
Jeffreys AJ, Wilson V, Thein SL. Hypervariable ‘minisatellite’ regions in human DNA. Nature. 1985;314(6006):67–73.
Article
PubMed
CAS
Google Scholar
Jeffreys AJ, Morton DB. DNA fingerprints of dogs and cats. Anim Genet. 1987;18(1):1–15.
Article
PubMed
CAS
Google Scholar
Trommelen GJ, Den Daas JH, Vijg J, Uitterlinden AG. DNA profiling of cattle using micro- and minisatellite core probes. Anim Genet. 1993;24(4):235–41.
Article
PubMed
CAS
Google Scholar
Trommelen GJ, Den Daas NH, Vijg J, Uitterlinden AG. Identity and paternity testing of cattle: application of a deoxyribonucleic acid profiling protocol. J Dairy Sci. 1993;76(5):1403–11. doi:10.3168/jds.S0022-0302(93)77471-8.
Article
PubMed
CAS
Google Scholar
Glowatzki-Mullis ML, Gaillard C, Wigger G, Fries R. Microsatellite-based parentage control in cattle. Anim Genet. 1995;26(1):7–12.
Article
PubMed
CAS
Google Scholar
Heyen DW, Beever JE, Da Y, Evert RE, Green C, Bates SR, et al. Exclusion probabilities of 22 bovine microsatellite markers in fluorescent multiplexes for semiautomated parentage testing. Anim Genet. 1997;28(1):21–7.
Article
PubMed
CAS
Google Scholar
Kemp SJ, Hishida O, Wambugu J, Rink A, Longeri ML, Ma RZ, et al. A panel of polymorphic bovine, ovine and caprine microsatellite markers. Anim Genet. 1995;26(5):299–306.
Article
PubMed
CAS
Google Scholar
Peelman LJ, Mortiaux F, Van Zeveren A, Dansercoer A, Mommens G, Coopman F, et al. Evaluation of the genetic variability of 23 bovine microsatellite markers in four Belgian cattle breeds. Anim Genet. 1998;29(3):161–7.
Article
PubMed
CAS
Google Scholar
Ma RZ, Russ I, Park C, Heyen DW, Beever JE, Green CA, et al. Isolation and characterization of 45 polymorphic microsatellites from the bovine genome. Anim Genet. 1996;27(1):43–7.
Article
PubMed
CAS
Google Scholar
Barendse W, Armitage SM, Kossarek LM, Shalom A, Kirkpatrick BW, Ryan AM, et al. A genetic linkage map of the bovine genome. Nat Genet. 1994;6(3):227–35. doi:10.1038/ng0394-227.
Article
PubMed
CAS
Google Scholar
Bishop MD, Kappes SM, Keele JW, Stone RT, Sunden SL, Hawkins GA, et al. A genetic linkage map for cattle. Genetics. 1994;136(2):619–39.
PubMed
CAS
PubMed Central
Google Scholar
Kappes SM, Keele JW, Stone RT, McGraw RA, Sonstegard TS, Smith TP, et al. A second-generation linkage map of the bovine genome. Genome Res. 1997;7(3):235–49.
Article
PubMed
CAS
Google Scholar
Moore SS, Byrne K, Berger KT, Barendse W, McCarthy F, Womack JE, et al. Characterization of 65 bovine microsatellites. Mamm Genome. 1994;5(2):84–90.
Article
PubMed
CAS
Google Scholar
Steffen P, Eggen A, Dietz AB, Womack JE, Stranzinger G, Fries R. Isolation and mapping of polymorphic microsatellites in cattle. Anim Genet. 1993;24(2):121–4.
Article
PubMed
CAS
Google Scholar
Toldo SS, Fries R, Steffen P, Neibergs HL, Barendse W, Womack JE, et al. Physically mapped, cosmid-derived microsatellite markers as anchor loci on bovine chromosomes. Mamm Genome. 1993;4(12):720–7.
Article
PubMed
CAS
Google Scholar
Vaiman D, Mercier D, Moazami-Goudarzi K, Eggen A, Ciampolini R, Lepingle A, et al. A set of 99 cattle microsatellites: characterization, synteny mapping, and polymorphism. Mamm Genome. 1994;5(5):288–97.
Article
PubMed
CAS
Google Scholar
Schutz E, Brenig B. Analytical and statistical consideration on the use of the ISAG-ICAR-SNP bovine panel for parentage control, using the Illumina BeadChip technology: example on the German Holstein population. Genet Sel Evol. 2015;47(1):3. doi:10.1186/s12711-014-0085-1.
Article
PubMed
PubMed Central
Google Scholar
Stock KF, Reents R. Genomic selection: status in different species and challenges for breeding. Reprod Domest Anim. 2013;48 Suppl 1:2–10. doi:10.1111/rda.12201.
Article
PubMed
Google Scholar
Werner FA, Durstewitz G, Habermann FA, Thaller G, Kramer W, Kollers S, et al. Detection and characterization of SNPs useful for identity control and parentage testing in major European dairy breeds. Anim Genet. 2004;35(1):44–9.
Article
PubMed
CAS
Google Scholar
Mariani S, Bekkevold D. The nuclear genome: neutral and adaptive markers in fisheries. Stock identification methods: applications in fishery science. 2nd ed. Oxford, UK: Elsevier Inc.; 2014.
Google Scholar
DeAtley KL, Rincon G, Farber CR, Medrano JF, Luna-Nevarez P, Enns RM, et al. Genetic analyses involving microsatellite ETH10 genotypes on bovine chromosome 5 and performance trait measures in Angus- and Brahman-influenced cattle. J Anim Sci. 2011;89(7):2031–41. doi:10.2527/jas.2010-3293.
Article
PubMed
CAS
Google Scholar
Meirelles SL, Gouveia GV, Gasparin G, Alencar MM, Gouveia JJ, Regitano LC. Candidate gene region for control of rib eye area in Canchim beef cattle. Genet Mol Res. 2011;10(2):1220–6. doi:10.4238/vol10-2gmr1175.
Article
PubMed
CAS
Google Scholar
Drogemuller C, Rossi M, Gentile A, Testoni S, Jorg H, Stranzinger G, et al. Arachnomelia in Brown Swiss cattle maps to chromosome 5. Mamm Genome. 2009;20(1):53–9. doi:10.1007/s00335-008-9157-2.
Article
PubMed
Google Scholar
Gutierrez-Gil B, Wiener P, Williams JL. Genetic effects on coat colour in cattle: dilution of eumelanin and phaeomelanin pigments in an F2-Backcross Charolais x Holstein population. BMC Genet. 2007;8:56. doi:10.1186/1471-2156-8-56.
Article
PubMed
PubMed Central
Google Scholar
Chu MX, Zhou GL, Jin HG, Shi WH, Cao FC, Fang L, et al. Study on relationships between seven microsatellite loci and somatic cell score in Beijing Holstein cows. Yi Chuan Xue Bao. 2005;32(5):471–5.
PubMed
CAS
Google Scholar
Smith SB, Zembayashi M, Lunt DK, Sanders JO, Gilbert CD. Carcass traits and microsatellite distributions in offspring of sires from three geographical regions of Japan. J Anim Sci. 2001;79(12):3041–51.
PubMed
CAS
Google Scholar
Butler JM, Reeder DJ. Cattle (bovine) STRs. 2015. http://www.cstl.nist.gov/strbase/. Accessed March 2015.
Google Scholar
Qanbari S, Pimentel EC, Tetens J, Thaller G, Lichtner P, Sharifi AR, et al. The pattern of linkage disequilibrium in German Holstein cattle. Anim Genet. 2010;41(4):346–56. doi:10.1111/j.1365-2052.2009.02011.x.
PubMed
CAS
Google Scholar
Jamieson A, Taylor SC. Comparisons of three probability formulae for parentage exclusion. Anim Genet. 1997;28(6):397–400.
Article
PubMed
CAS
Google Scholar
Hu ZL, Park CA, Wu XL, Reecy JM. Animal QTLdb: an improved database tool for livestock animal QTL/association data dissemination in the post-genome era. Nucleic Acids Res. 2013;41(Database issue):D871–9. doi:10.1093/nar/gks1150.
Article
PubMed
CAS
PubMed Central
Google Scholar
DHV. Facts and figures 2012. 2015. http://www.holstein-dhv.de/facts_and_figures.html. Accessed 09.03. 2015.
Google Scholar
Caballero A. Developments in the prediction of effective population size. Heredity. 1994;73(Pt 6):657–79.
Article
PubMed
Google Scholar
Hayes BJ. Efficient parentage assignment and pedigree reconstruction with dense single nucleotide polymorphism data. J Dairy Sci. 2011;94(4):2114–7. doi:10.3168/jds.2010-3896.
Article
PubMed
CAS
Google Scholar
Seroussi E, Glick G, Shirak A, Ezra E, Zeron Y, Ron M, et al. Maternity validation using sire-only BovineSNP50 BeadChip data. Anim Genet. 2013;44(6):754–7. doi:10.1111/age.12062.
Article
PubMed
CAS
Google Scholar
Strucken EM, Gudex B, Ferdosi MH, Lee HK, Song KD, Gibson JP, et al. Performance of different SNP panels for parentage testing in two East Asian cattle breeds. Anim Genet. 2014;45(4):572–5. doi:10.1111/age.12154.
Article
PubMed
CAS
Google Scholar
Strucken EM, Lee SH, Lee HK, Song KD, Gibson JP, Gondro C. How many markers are enough? Factors influencing parentage testing in different livestock populations. J Anim Breed Genet. 2015. doi:10.1111/jbg.12179.
PubMed
Google Scholar
Miller SA, Dykes DD, Polesky HF. A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res. 1988;16(3):1215.
Article
PubMed
CAS
PubMed Central
Google Scholar
Barton NH, Briggs DEG, Eisen JA, Goldstein DB, Patel NH. Random drift of allele frequencies. Evolution. Cold Spring Harbor, New York: Cold Spring Harbor Laboratory Press; 2007. p. 415.
Google Scholar