{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T17:25:27Z","timestamp":1790270727555,"version":"4.1.0"},"reference-count":54,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T00:00:00Z","timestamp":1733961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan","award":["AP14973046"],"award-info":[{"award-number":["AP14973046"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Animals"],"abstract":"<jats:p>This article presents the findings of a scientific study investigating the efficacy of various assessment techniques used to evaluate the adaptability and productive qualities of Aberdeen Angus cattle on three prominent farms in the northern region of the Republic of Kazakhstan. A comprehensive analysis of the haematological and biochemical parameters of experimental groups of cattle with different genotypes (American, Canadian, and Estonian selection) was conducted. The studies revealed notable variability in haematological and biochemical indicators, contingent on the origin. Concurrently, the dynamics of the aforementioned indicators did not exceed the physiological norms. The modern allelofund was characterised with the help of microsatellite markers, and the level of genetic diversity of Aberdeen Angus cattle of different genotypes was estimated. The research uncovered the genealogical structure of the populations, the purity of the populations, the provenance, the polymorphism level, the heterozygosity indices, and the Wright fixation index (Fis). The genotyping of cattle of the Aberdeen Angus breed on 15 microsatellite markers yielded the establishment of 80 alleles in the Kolos-firm LLP, 77 alleles in the Vishnevskoe LLP, and 92 alleles in the Sever-Agro N LLP. The total expected heterozygosity was He = 0.673, while the observed heterozygosity was Ho = 0.710.<\/jats:p>","DOI":"10.3390\/ani14243584","type":"journal-article","created":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T03:52:49Z","timestamp":1733975569000},"page":"3584","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Increasing Beef Production in the Northern Region of the Republic of Kazakhstan Using the Genetic Resources of Aberdeen Angus Cattle of Different Genotypes"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4235-992X","authenticated-orcid":false,"given":"Pavel","family":"Shevchenko","sequence":"first","affiliation":[{"name":"Research and Innovation Center, Research Institute of Applied Biotechnology, NLC \u00abAkhmet Baitursynuly Kostanay Regional University\u00bb, Kostanay 110000, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9063-7651","authenticated-orcid":false,"given":"Bakhit","family":"Baimenov","sequence":"additional","affiliation":[{"name":"Research and Innovation Center, Research Institute of Applied Biotechnology, NLC \u00abAkhmet Baitursynuly Kostanay Regional University\u00bb, Kostanay 110000, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7500-1601","authenticated-orcid":false,"given":"Vadim","family":"Ulyanov","sequence":"additional","affiliation":[{"name":"Testing Center, NLC \u00abZhangir Khan West-Kazakhstan Agrarian Technical University\u00bb, Zhangir Khan Str. 51, Uralsk 090000, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8767-3624","authenticated-orcid":false,"given":"Zhanaidar","family":"Bermukhametov","sequence":"additional","affiliation":[{"name":"Research and Innovation Center, Research Institute of Applied Biotechnology, NLC \u00abAkhmet Baitursynuly Kostanay Regional University\u00bb, Kostanay 110000, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7485-6758","authenticated-orcid":false,"given":"Kulyay","family":"Suleimanova","sequence":"additional","affiliation":[{"name":"Department of Natural Sciences, Kostanay Social-Technical University named after Academician Zulharnai Aldamjar, Kostanay 110000, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3167-5476","authenticated-orcid":false,"given":"Jan","family":"Mici\u0144ski","sequence":"additional","affiliation":[{"name":"Department of Sheep and Goat Breeding, Faculty of Animal Bioengineering, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raushan","family":"Rychshanova","sequence":"additional","affiliation":[{"name":"Research and Innovation Center, Research Institute of Applied Biotechnology, NLC \u00abAkhmet Baitursynuly Kostanay Regional University\u00bb, Kostanay 110000, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Inna","family":"Brel-Kisseleva","sequence":"additional","affiliation":[{"name":"Department of Food Security and Biotechnology, NLC \u00abAkhmet Baitursynuly Kostanay Regional University\u00bb, Kostanay 110000, Kazakhstan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,12]]},"reference":[{"key":"ref_1","first-page":"226","article-title":"The Level of Breeding Value of Cattle of the Auliekol Breed, Calculated by the Blup Method","volume":"23","author":"Bissembayev","year":"2023","journal-title":"OJBS"},{"key":"ref_2","first-page":"395","article-title":"Comparative Assessment of Meat Qualities of Purebred and Crossbred Kalmyk Bulls","volume":"22","author":"Aitzhanova","year":"2022","journal-title":"OJBS"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Zheng, X., Wang, T., Niu, Q., Wu, J., Zhao, Z., Gao, H., Li, J., and Xu, L. (2023). Evaluation of Linear Programming and Optimal Contribution Selection Approaches for Long-Term Selection on Beef Cattle Breeding. Biology, 12.","DOI":"10.3390\/biology12091157"},{"key":"ref_4","first-page":"217","article-title":"Breeding Qualities of Aberdeen-Angus Cows of Different Genotypes in Northern Kazakhstan","volume":"18","author":"Shevchenko","year":"2023","journal-title":"AJAVS"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Wellnitz, K.R., Parsons, C.T., Dafoe, J.M., Boss, D.L., Wyffels, S.A., DelCurto, T., and Van Emon, M.L. (2022). Impacts of Dam Age on Lifetime Productivity of Angus Replacement Beef Females. Animals, 12.","DOI":"10.3390\/ani12202768"},{"key":"ref_6","first-page":"49","article-title":"Influence of the Father on Reproductive Traits in Cows of the Aberdeen Angus Cattle Breed. Reared in an Organic Farm","volume":"28","author":"Malinova","year":"2022","journal-title":"Bulg. J. Agric. Sci."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Yang, Y., Yang, S., Tang, J., Ren, G., Shen, J., Huang, B., Lei, C., Chen, H., and Qu, K. (2022). Comparisons of Hematological and Biochemical Profiles in Brahman and Yunling Cattle. Animals, 12.","DOI":"10.3390\/ani12141813"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"531","DOI":"10.13005\/bbra\/2065","article-title":"Adaptability and Productive Qualities of Imported Beef Cattle under the Conditions of the Northern Region of Kazakhstan","volume":"13","author":"Kazhgaliyev","year":"2016","journal-title":"Biosci. Biotechnol. Res. Asia"},{"key":"ref_9","unstructured":"(2024, October 01). Programme Details, Available online: https:\/\/baiterek.gov.kz\/ru\/programs\/natsionalnyy-proekt-po-razvitiyu-agropromyshlennogo-kompleksa-respubliki-kazakhstan-na-2021-2025-god."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Rexroad, C., Vallet, J., Matukumalli, L.K., Reecy, J., Bickhart, D., Blackburn, H., Boggess, M., Cheng, H., Clutter, A., and Cockett, N. (2019). Genome to Phenome: Improving Animal Health. Production. and Well-Being\u2014A New USDA Blueprint for Animal Genome Research 2018\u20132027. Front. Genet., 10.","DOI":"10.3389\/fgene.2019.00327"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Shevchenko, P., Mici\u0144ski, J., and Brel-Kisseleva, I. (2024). Evaluation of Aberdeen Angus Breeding Bulls in the Northern Region of the Republic of Kazakhstan. Animals, 14.","DOI":"10.3390\/ani14060894"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Kim, S.-J., Ha, J.-W., and Kim, H. (2020). Genome-Wide Identification of Discriminative Genetic Variations in Beef and Dairy Cattle via an Information-Theoretic Approach. Genes, 11.","DOI":"10.3390\/genes11060678"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"5111","DOI":"10.3168\/jds.2020-19777","article-title":"Invited Review: The Future of Selection Decisions and Breeding Programs: What Are We Breeding for. and Who Decides?","volume":"104","author":"Cole","year":"2021","journal-title":"J. Dairy. Sci."},{"key":"ref_14","first-page":"287","article-title":"Determination of Diplotypes Associated with Meat Productivity in Cattle Breeds Common in the Territory of the Republic of Kazakhstan","volume":"22","author":"Nametov","year":"2022","journal-title":"OJBS"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"947","DOI":"10.2478\/aoas-2014-0049","article-title":"Effect of Different Environmental Conditions on Some Haematological Parameters in Cow","volume":"14","author":"Mazzullo","year":"2014","journal-title":"Ann. Anim. Sci."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Kim, W.-S., Ghassemi Nejad, J., and Lee, H.-G. (2023). Impact of Cold Stress on Physiological. Endocrinological. Immunological. Metabolic. and Behavioral Changes of Beef Cattle at Different Stages of Growth. Animals, 13.","DOI":"10.3390\/ani13061073"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"181","DOI":"10.4236\/ojvm.2015.58025","article-title":"Parameters Influencing Haematological. Serum. and Biochemical References in Livestock Animals under Different Management Systems","volume":"5","author":"Onasanya","year":"2015","journal-title":"Open J. Vet. Med."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Yordanov, G., Kalaydzhiev, G., Palova, N., Salkova, D., Lozanova, L., Dundarova, H., Odjakova, T., Todorov, P., Radoslavov, G., and Hristov, P. (2024). Genetic Differentiation and Population Structure of Two Bulgarian Local Goat Breeds Using Microsatellite Markers. Diversity, 16.","DOI":"10.3390\/d16070388"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Manomohan, V., Ramasamy, S., Pichler, R., Nagarajan, M., Karuppusamy, S., Krovvidi, S., Nachiappan, R.K., Peters, S.O., and Periasamy, K. (2022). Assessment of Mutation Drift Equilibrium and the Occurrence of a Recent Genetic Bottleneck in South Indian Zebu Cattle. Animals, 12.","DOI":"10.3390\/ani12141838"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Xie, D., Yang, N., Xu, W., Jiang, X., Luo, L., Hou, Y., Zhao, G., Shen, F., and Zhang, X. (2023). Development and Application of Potentially Universal Microsatellite Markers for Pheasant Species. Animals, 13.","DOI":"10.3390\/ani13233601"},{"key":"ref_21","first-page":"359","article-title":"Genetic Structure of Populations of Kazakh Whiteheaded and Hereford Cattles on the Basis of Microsatellite DNA","volume":"17","author":"Tyngoziyeva","year":"2017","journal-title":"OJBS"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Ilie, D.E., Cean, A., Cziszter, L.T., Gavojdian, D., Ivan, A., and Kusza, S. (2015). Microsatellite and Mitochondrial DNA Study of Native Eastern European Cattle Populations: The Case of the Romanian Grey. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0138736"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1111\/j.1755-0998.2011.03014.x","article-title":"Current Trends in Microsatellite Genotyping","volume":"11","author":"Guichoux","year":"2011","journal-title":"Mol. Ecol. Resour."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"4041","DOI":"10.1093\/bioinformatics\/btw568","article-title":"popSTR: Population-Scale Detection of STR Variants","volume":"33","author":"Kehr","year":"2017","journal-title":"Bioinformatics"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"426","DOI":"10.5194\/aab-51-426-2008","article-title":"Genetic Characterization among Some Austrian and Hungarian Cattle Breeds","volume":"51","author":"Manatrinon","year":"2008","journal-title":"Arch. Anim. Breed."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1111\/j.1439-0388.2010.00890.x","article-title":"Genetic Characterization of the Blonde d\u2019Aquitaine Cattle Breed Using Microsatellite Markers and Relationship with Three Other French Cattle Populations","volume":"128","author":"Amigues","year":"2011","journal-title":"J. Anim. Breed. Genet."},{"key":"ref_27","unstructured":"(2024, October 06). On Approval of the Rules of Evaluation (Tests) of Breeding Animals on Own Productivity \u201cAdilet\u201d. Available online: https:\/\/adilet.zan.kz\/rus\/docs\/V2300031824."},{"key":"ref_28","unstructured":"National Research Council and Committee on Animal Nutrition and Subcommittee on Dairy Cattle Nutrition (2001). Nutrient Requirements of Dairy Cattle, National Academies Press. [7th ed.]."},{"key":"ref_29","first-page":"99","article-title":"Reference Values of Blood Parameters in Beef Cattle of Different Ages and Stages of Lactation","volume":"52","author":"Doornenbal","year":"1988","journal-title":"Can. J. Vet. Res."},{"key":"ref_30","first-page":"309","article-title":"Seasonal Variations of Some Hematochemical Parameters in Holstein Bovine under the Same Livestock Conditions","volume":"88","author":"Cerutti","year":"2018","journal-title":"Vet. Arch."},{"key":"ref_31","unstructured":"Ruszczyc, Z. (1978). Metodology of Zootechnical Experiments, State Agricultural and Forestry Publishing House."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"342","DOI":"10.4067\/S0718-58392008000400004","article-title":"Implementation of a Molecular System for Traceability of Beef Based on Microsatellite Markers","volume":"68","author":"Felmer","year":"2008","journal-title":"Chilean J. Agric. Res."},{"key":"ref_33","unstructured":"(2024, October 02). ISAG\u2014International Society for Animal Genetics\u2014Committees. Available online: https:\/\/www.isag.us\/committees.asp."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2537","DOI":"10.1093\/bioinformatics\/bts460","article-title":"GenAlEx 6.5: Genetic Analysis in Excel. Population Genetic Software for Teaching and Research--an Update","volume":"28","author":"Peakall","year":"2012","journal-title":"Bioinformatics"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Verma, J.P. (2012). Data Analysis in Management with SPSS Software, Springer Science & Business Media.","DOI":"10.1007\/978-81-322-0786-3"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Kumar., S., Singh., S.K., Singh., R., and Singh., A.K. (2017). Recognition of Cattle Using Face Images. Animal Biometrics: Techniques and Applications, Springer.","DOI":"10.1007\/978-981-10-7956-6_3"},{"key":"ref_37","first-page":"184","article-title":"Genetic Diversity and Phylogenetic Relationship of Angus Herds in Hungary and Analyses of Their Production Traits","volume":"37","author":"Zsolnai","year":"2023","journal-title":"Anim. Biosci."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Bhowmik, N., Seaborn, T., Ringwall, K.A., Dahlen, C.R., Swanson, K.C., and Hulsman Hanna, L.L. (2023). Genetic Distinctness and Diversity of American Aberdeen Cattle Compared to Common Beef Breeds in the United States. Genes, 14.","DOI":"10.3390\/genes14101842"},{"key":"ref_39","first-page":"176","article-title":"Assessment of Genetic Diversity and Phylogenetic Relationship of Limousin Herds in Hungary Using Microsatellite Markers","volume":"32","author":"Zsolnai","year":"2018","journal-title":"Asian-Australas. J. Anim. Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"942","DOI":"10.2527\/2002.804942x","article-title":"Genetic Diversity and Assignment Tests among Seven French Cattle Breeds Based on Microsatellite DNA Analysis","volume":"80","author":"Maudet","year":"2002","journal-title":"J. Anim. Sci."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Ferreira, M.F.d.L., Renn\u00f3, L.N., Rodrigues, I.I., Detmann, E., Paulino, M.F., de Campos Valadares Filho, S., Martins, H.C., Moreira, S.S., and de Lana, D.S. (2021). Effects of Parity Order on Performance. Metabolic. and Hormonal Parameters of Grazing Beef Cows during Pre-Calving and Lactation Periods. BMC Vet. Res., 17.","DOI":"10.1186\/s12917-021-03019-0"},{"key":"ref_42","unstructured":"(2024, October 03). Characterization and Evaluation of Residual Feed Intake Measured in Mid- to Late-Gestation Mature Beef Cows and Relationships with Circulating Serum Metabolites and Linear Body Measurements. Available online: https:\/\/cdnsciencepub.com\/doi\/full\/10.4141\/cjas2013-165."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.livsci.2016.11.003","article-title":"Associations of Blood Parameters with Age. Feed Efficiency and Sampling Routine in Young Beef Bulls","volume":"195","author":"Bourgon","year":"2017","journal-title":"Livest. Sci."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"672","DOI":"10.3168\/jds.2018-15022","article-title":"Short Communication: Blood Metabolites. Body Reserves. and Feed Efficiency of High-Producing Dairy Cows That Varied in Ruminal pH When Fed a High-Concentrate Diet","volume":"102","author":"Nasrollahi","year":"2019","journal-title":"J. Dairy. Sci."},{"key":"ref_45","first-page":"1358","article-title":"Estimating F-Statistics for the Analysis of Population Structure","volume":"38","author":"Weir","year":"1984","journal-title":"Evolution"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Hall, S.J.G. (2022). Genetic Differentiation among Livestock Breeds\u2014Values for Fst. Animals, 12.","DOI":"10.3390\/ani12091115"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"11","DOI":"10.2527\/2006.84111x","article-title":"Statistical Analysis of Individual Assignment Tests among Four Cattle Breeds Using Fifteen STR Loci1","volume":"84","author":"Ciampolini","year":"2006","journal-title":"J. Anim. Sci."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1093\/jhered\/esl003","article-title":"Genetic Characterization of Argentine and Bolivian Creole Cattle Breeds Assessed through Microsatellites","volume":"97","author":"Giovambattista","year":"2006","journal-title":"J. Hered."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1038\/sj.hdy.6800566","article-title":"Breed Relationships and Definition in British Cattle: A Genetic Analysis","volume":"93","author":"Wiener","year":"2004","journal-title":"Heredity"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1590\/S1415-47572003000200005","article-title":"Genetic Characterization of Aberdeen Angus Cattle Using Molecular Markers","volume":"26","author":"Vasconcellos","year":"2003","journal-title":"Genet. Mol. Biol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"81","DOI":"10.4141\/CJAS10058","article-title":"Comparison of Angus Cattle Populations Using Gene Variants and Microsatellites","volume":"91","author":"Carruthers","year":"2011","journal-title":"Can. J. Anim. Sci."},{"key":"ref_52","first-page":"278","article-title":"Population Genetic Structure of Two Herds of Aberdeen Angus Cattle Breed in Colombia","volume":"34","year":"2021","journal-title":"Rev. Colomb. Cienc. Pecu."},{"key":"ref_53","unstructured":"(2024, October 03). Design and Evaluation of Progeny Testing in Open-Nucleus Breeding Systems|Animal Science|Cambridge Core. Available online: https:\/\/www.cambridge.org\/core\/journals\/animal-science\/article\/abs\/design-and-evaluation-of-progeny-testing-in-opennucleus-breeding-systems\/08CCCD6F5C2BDDD42E4B8E5FE1F09733."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1111\/j.1439-0388.1993.tb00732.x","article-title":"Deterministic Genetic Analysis of Open Nucleus Breeding Schemes for Dairy Cattle in Developing Countries","volume":"110","author":"Bondoc","year":"1993","journal-title":"J. Anim. Breed. Genet."}],"container-title":["Animals"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2076-2615\/14\/24\/3584\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:53:10Z","timestamp":1760115190000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2076-2615\/14\/24\/3584"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,12]]},"references-count":54,"journal-issue":{"issue":"24","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["ani14243584"],"URL":"https:\/\/doi.org\/10.3390\/ani14243584","relation":{},"ISSN":["2076-2615"],"issn-type":[{"value":"2076-2615","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,12]]}}}