Ablondi, M., Sabbioni, A., Stocco, G., et al., Genetic diversity in the Italian Holstein dairy cattle based on pedigree and SNP data prior and after genomic selection, Front. Vet. Sci., 2022, vol. 8. https://doi.org/10.3389/fvets.2021.773985
Meuwissen, T., Hayes, B., and Goddard, M., Genomic selection: a paradigm shift in animal breeding, Anim. Front., 2016, vol. 6, no. 1, pp. 6—14. https://doi.org/10.2527/af.2016-0002
Meshcherov, R.K., Meshcherov, Sh.R., Khodykov, V.P., and Nikulkin, N.S., Breeding and pedigree resources of Holstein Black-and-White cattle in the Russian Federation: realities and prospects, Agrozootekhnika, 2023, vol. 6, no. 2, pp. 1—10. https://doi.org/10.15838/alt.2023.6.2.6
Adamov, N., Mickov, L., Petkov, V., and Adamov, M., Microsatellite markers for pedigree verification in cattle, Maced. J. Anim. Sci., 2011, vol. 1, no. 1, pp. 9—15.
MacHugh, D.E., Loftus, R.T., Cunningham, P., and Bradley, D.G., Genetic structure of seven European cattle breeds assessed using 20 microsatellite markers, Anim. Genet., 1998, vol. 29, no. 5, pp. 333—340. https://doi.org/10.1046/j.1365-2052.1998.295330.x
Article CAS PubMed Google Scholar
Agung, P.P., Saputra, F., Zein, M.S.A., et al., Genetic diversity of Indonesian cattle breeds based on microsatellite markers, Asian-Australas. J. Anim. Sci., 2019, vol. 32, no. 4, pp. 467—476. https://doi.org/10.5713/ajas.18.0283
Joshi, P., Vyas, P., and Kashyap, S.K., Molecular characterization of Nagori cattle using microsatellite markers, J. Pharmacogn. Phytochem., 2018, vol. 7, no. 2, pp. 3250—3252.
Gororo, E., Chatiza, F.P., Chidzwondo, F., and Makuza, S.M., Is neutral genetic diversity related to quantitative variation in semen traits in bulls?, Reprod. Domest. Anim., 2021, vol. 56, no. 10, pp. 1293—1301. https://doi.org/10.1111/rda.13991
Article CAS PubMed Google Scholar
Lenstra, J.A., Groeneveld, L.F., Eding, H., et al., Molecular tools and analytical approaches for the characterization of farm animal genetic diversity, Anim. Genet., 2012, vol. 43, no. 5, pp. 483—502. https://doi.org/10.1111/j.1365-2052.2011.02309.x
Article CAS PubMed Google Scholar
Kalashnikov, A.E. and Yaluga, V.L., Changes in the frequency of alleles of the EAB locus of blood groups in Kholmogory cattle due to holsteinization, Izv. Kabard.-Balkar. Gos. Agrar. Univ., 2022, no. 3(37), pp. 66—78. https://doi.org/10.55196/2411-3492-2022-3-37-66-78
Kalashnikov, A.E., Khrunova, A.I., Kalashnikov, V.E., and Ryzhova, N.G., Changes of haplotypes of blood group locus of the Kholmogory cattle in absorptive crossing, in Dostizheniya i aktual’nye problemy genetiki, biotekhnologii i selektsii zhivotnykh (Progress and Current Issues in Genetics, Biotechnology and Animal Breeding), Vitebsk, 2021, pp. 27—29.
Tyapugin, S.E., Kalashnikova, L.A., Novikov, A.A., et al., Geneticheskaya identifikatsiya sel’skokhozyaistvennykh i dikikh vidov zhivotnykh: metodicheskoe posobie (Genetic Identification of Farm and Wild Animal Species: Methodic Guide), Lesnye Polyany: Vserossiyskiy Nauchno-Issledovatel’skiy Institut Plemennogo Dela, 2021, pp. 1—98.
Heslot, N., Yang, H.P., Sorrells, M.E., and Jannink, J.L., Genomic selection in plant breeding: a comparison of models, Crop Sci., 2012, vol. 52, no. 1, pp. 146—160. https://doi.org/10.2135/cropsci2011.06.0297
Kemp, S.J., Brezinsky, L., and Teale, A.J., A panel of bovine, ovine and caprine polymorphic microsatellites, Anim. Genet., 1993, vol. 24, no. 5, pp. 363—365. https://doi.org/10.1111/j.1365-2052.1993.tb00341.x
Article CAS PubMed Google Scholar
McKay, S.D., Schnabel, R.D., Murdoch, B.M., et al., An assessment of population structure in eight breeds of cattle using a whole genome SNP panel, BMC Genet., 2008, vol. 20, no. 9, p. 37. https://doi.org/10.1186/1471-2156-9-37
Dunin, I.M., Tyapugin, S.E., Kalashnikova, L.A., et al., Gene pool of dairy cattle breeds in Russia: state of the art, prospects for conservation and use, Zootekhniya, 2019, no. 5, pp. 1—2. https://doi.org/10.25708/ZT.2019.18.21.001
Modorov, M.V., Tkachenko, I.V., Grin, A.A., et al., Population genetic structure of Ural Black Pied cattle, Russ. J. Genet., 2021, vol. 57, no. 4, pp. 453—459. https://doi.org/10.1134/S1022795421040104
Filippova, N.P., Pavlova, N.I., Koryakina, L.P., et al., Microsatellite analysis of Yakut cattle, Zhivotnovod. Kormoproizvod., 2018, vol. 101, no. 4, pp. 58—63.
Chasovshchikova, M.A., Genetic characterization of Holstein cattle using microsatellite DNA markers, Izv. Orlov. Gos. Agrar. Univ., 2019, vol. 2, no. 76, pp. 191—193.
Kalashnikova, L.A., Khabibrakhmanova, Ya.A., Ganchenkova, T.B., et al., Genetic characteristics of cattle using microsatellites, Zootekhniya, 2016, no. 2, pp. 9—11.
Shukyurova, E.B., Lukashina, A.A., and Buz’ko, A.N., Genetic characteristics of Holstein cattle inferred from DNA microsatellites, Vestn. Dal’nevost. Otd. Ross. Akad. Nauk, 2020, no. 4(212), pp. 47—52. https://doi.org/10.37102/08697698.2020.212.4.008
Zinov’eva, N.A. and Gladyr’, E.A., Genetic examination of farm animals: use of test systems based on microsatellites, Dostizh. Nauki Tekh. Agroprom. Kompleksa, 2011, no. 9, pp. 19—20.
Gladyr’, E.A., Gorelov, P.V., Maurcheva, V.N., et al., Evaluation of the efficiency of a test system based on microsatellites in conducting DNA examination of cattle, Dostizh. Nauki Tekh. Agroprom. Kompleksa, 2011, no. 8, pp. 51—54.
Kharzinova, V.R. and Karpushkina, T.V., Genetic examination of farm animals based on microsatellite analysis, Problemy i perspektivy nauchno-innovatsionnogo obespecheniya agropromyshlennogo kompleksa regionov (Problems and Prospects of Scientific and Innovative Support for the Regional Agro-Industrial Complex) (Collection of Reports at the International Scientific and Practical Conference), Kursk, 2019, pp. 567—569.
Rege, J.E.O. and Lipner, M.E., African animal genetic resources: their characterisation, conservation and utilisation, Proceedings of Research Planning Workshop, 1992, pp. 19—21.
Spelman, R.J., Utilisation of marker assisted selection in the New Zealand dairy industry, Master Degree of Agricultural Science Thesis, Massey: Massey Univ., 1995.
Tanana, L.A., Epishko, O.A., and Glinskaya, N.A., STR loci in parentage testing of Belarusian Black-and-White cattle, S.-kh. Zh., 2014, vol. 2, no. 7, pp. 204—207.
Mokhammad, A.A. and Bakai, A.V., Characteristics of the genetic structure of the Syrian cattle breed compared to Holstein and Aberdeen-Angus breeds, Gl. Zootekh., 2019, no. 12, pp. 23—30.
Karymsakov, T.N., Gladyr’, E.A., Nurbaev, S.D., et al., Comparative characteristics of the cattle allele pool of three breeds originated from the black-and-white root, bred in the Republic of Kazakhstan, Molochn. Myasn. Skotovod. (Moscow), 2017, no. 3, pp. 11—14.
Kuznetsov, V.M., Wright’s F-statistics: evaluation and interpretation, Probl. Biol. Prod. Zhivotn., 2014, vol. 4, pp. 80—104.
Ernst, L.K., Zinov’eva, N.A., Konovalova, E.N., et al., Investigation of the effect of the of Holstein blood on the gene pool alteration of the Russian cattle breeds using DNA microsatellites, Zootekhniya, 2007, no. 12, pp. 2—4.
Abdel’manova, A.S., Volkova, V.V., Dotsev, A.V., and Zinov’eva, N.A., Characterisation of the genetic diversity of modern and archival populations of black and white cattle using microsatellite markers, Dostizh. Nauki Tekh. Agroprom. Kompleksa, 2020, no. 2, pp. 34—38. https://doi.org/10.24411/0235-2451-2020-10207
Pamilo, P. and Nei, M., Relationships between gene trees and species trees, Mol. Biol. Evol., 1988, vol. 5, no. 5. pp. 568—583. https://doi.org/10.1093/oxfordjournals.molbev.a040517
Article CAS PubMed Google Scholar
Rzhetsky, A. and Nei, M., A simple method for estimating and testing minimum-evolution trees, Mol. Biol. Evol., 1992, vol. 9, no. 5, pp. 945—967.
Nei, M., Tajima, F., and Tateno, Y., Accuracy of estimated phylogenetic trees from molecular data: II. Gene frequency data, J. Mol. Evol., 1983, vol. 19, no. 2, pp. 153—170. https://doi.org/10.1007/BF02300753
Article CAS PubMed Google Scholar
Zinov’eva, N.A., Gladyr’, E.A., Bagirov, V.A., and Brem, G., Dynamics of the biodiversity of black and white cattle influenced by cross-breeding, Vavilovskii Zh. Genet. Sel., 2015, vol. 19, no. 2, pp. 72—75.
Comments (0)