The professional career is closely linked with the Kazakh National Agrarian Research University (KazNAU). In 2023, graduated with a Bachelor’s degree in Agronomy, followed by a Master’s degree in Crop Breeding and Seed Production. Currently serving as an assistant and lecturer at the Department of Agronomy, Breeding, and Biotechnology at the same university.
Research Interests and Focus Areas
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Research is aimed at advancing agriculture through modern digital and genetic approaches:
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Genomic Databases: predicting the resistance of soft wheat and barley to fungal diseases (such as black rust and leaf blotch) using genomic modeling.
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Plant Physiology and Biotechnology: studying the effects of mineral salts on plant growth and the accumulation of vitamins and hormones (e.g., IAA).
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Bioinformatics: mastering and applying modern IT tools in plant breeding.
Achievements
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Scientific Publications: author of articles published in the international Scopus database (e.g., Vavilov Journal of Genetics and Breeding), journals recommended by KKSON, and presented at international conferences (ICPBB 2024).
Language Skills
Proficient in English (Upper-Intermediate), enabling effective work with global scientific data.
Institution: Kazakh National Agrarian Research University
Major/Specialization: Agronomy
Year of Graduation: 2023
Qualification: Bachelor’s degree
Institution: Kazakh National Agrarian Research University
Major/Specialization: Plant Breeding and Seed Production
Year of Graduation: 2025
Qualification: Master of Agricultural Sciences
ARTICLES IN SCOPUS / WEB OF SCIENCE JOURNALS
Shoibekova A.Zh., Jantassov S.K., Jantassova A.S., Samatov A.T., Sagindykov T.S., Karimova A.N., Serikbayeva G.A., Toishimanov M.R., Bari G.T. Influence of selected rootstock on growth parameters, accumulation of IAA and vitamins in scions of Cucumis sativus L. and Cucumis melo L. Vavilov Journal of Genetics and Breeding. – 2025. – Vol. 29, no. 4. – P. 559–567. – DOI: 10.18699/vjgb-25-59.
ARTICLES IN JOURNALS RECOMMENDED BY THE COMMITTEE FOR QUALITY ASSURANCE IN SCIENCE AND HIGHER EDUCATION OF THE MINISTRY OF SCIENCE AND HIGHER EDUCATION OF THE REPUBLIC OF KAZAKHSTAN
Sagindykov T.S., Karimova A.N., Serikbayeva G.A., Dzhantasov S.K., Bari G.T. Influence of various mineral salt concentrations on the growth and development of pumpkin for its preliminary evaluation as a rootstock material // Bulletin of Korkyt Ata Kyzylorda University. Series: Agricultural Sciences. – 2023. – No. 2 (65). – pp. 45–52.
OTHER PUBLICATIONS
Abstracts
Serikbayeva G.A., Karimova A.N., Bayadilova G.O., Urazaliyev K.R. International genomic databases as a tool for predicting barley resistance to rust // International Scientific and Practical Journal "IN THE WORLD OF SCIENCE AND EDUCATION". – Almaty, 2025. – No. 15. – pp. 64–71. – DOI: 10.24412/3007-8946-2025-15-64-71.
Karimova A.N., Serikbayeva G.A., Urazaliyev K.R., Bayadilova G.O. Genetic database for breeding cereal crops for resistance to fungal diseases // The International Conference on Plant Biology and Biotechnology (ICPBB 2024): Proceedings of the conference. – Almaty, 2024. – p. 202.
Methodological Guidelines
Urazaliyev K.R., Karimova A.N., Serikbayeva G.A. Methodological guidelines (Lecture notes) for the course "Introduction to Genomics and Proteomics". – Almaty: KazNARU, 2025. – 77 p.
Urazaliyev K.R., Serikbayeva G.A., Karimova A.N. Methodological guidelines (Lecture notes) for the course "Applied Bioinformatics". – Almaty: KazNARU, 2025. – 81 p.
Bachelor’s level:
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Introduction to Genomics and Proteomics
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Plant Physiology and Biochemistry
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Plant Genetics
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Seed Science
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Seed Production
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Genome Analysis Methods
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Practical Bioinformatics: Protein Sequence Analysis
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Theoretical Foundations of Plant Breeding
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Pedagogical Excellence in Transformation Context (72 hours)
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Plant Genetics (72 hours)
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Methods of Genome and Proteome Analysis (72 hours)
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Modern Seed Production Systems and Seed Science (72 hours)
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Theoretical Foundations of Plant Breeding (72 hours)
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Physiological and Biochemical Foundations of Plant Vital Activity (72 hours)
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Practical Bioinformatics and Protein Sequence Analysis (72 hours)