VALIDATION OF KASP MARKERS FOR ADAPTATION AND YIELD-RELATED TRAITS IN SPRING BREAD WHEAT BREEDING LINES OF KAZAKHSTAN

Main Article Content

Authors

A.Y. Amalova

Institute of Plant Biology and Biotechnology, Almaty, 050040, Kazakhstan

T.V. Savin

A.I. Barayev Research and Production Centre for Grain Farming, Akmola region, 020000 Kazakhstan

S.I. Abugalieva

Institute of Plant Biology and Biotechnology, Almaty, 050040, Kazakhstan

Y.K. Turuspekov

Institute of Plant Biology and Biotechnology, Almaty, 050040, Kazakhstan

Abstract

The validation of molecular markers under target environmental conditions is essential for the effective implementation of marker-assisted selection in wheat breeding. This study aimed to assess the genetic diversity of spring bread wheat germplasm from Kazakhstan, validate KASP markers associated with adaptation and yield-related traits, and identify favorable alleles for breeding applications. A total of 107 spring bread wheat genotypes originating from five breeding organizations were evaluated in four contrasting environments of Kazakhstan and genotyped using 43 KASP markers developed from previous genome-wide association studies (GWAS) and quantitative trait locus (QTL) mapping studies. Of the analyzed markers, 33 were polymorphic and successfully differentiated the studied germplasm. Genetic diversity analysis revealed moderate variation among breeding collections, with the highest level of polymorphism observed in the lines from Karabalyk Agricultural Experimental Station collection (100%). Principal coordinate analysis demonstrated clear genetic differentiation among breeding programs. Association analysis identified numerous significant marker–trait relationships across environments, with the largest number detected in North Kazakhstan. Five markers (ipbb_ta_152, ipbb_ta_219, ipbb_ta_223, ipbb_ta_183, and ipbb_ta_162) showed stable associations with adaptation- and yield-related traits across all testing locations. Evaluation of allelic effects revealed that marker ipbb_ta_162 had the strongest positive influence on grain yield, particularly under North Kazakhstan conditions, whereas ipbb_ta_183 exhibited the most stable favorable allele across environments. The results confirm the usefulness of KASP markers for marker-assisted selection and provide valuable molecular tools for the development of high-yielding and environmentally adapted wheat cultivars in Kazakhstan.

Keywords

Triticum aestivum L., KASP markers, genetic diversity, marker-assisted selection, adaptation, grain yield

Article Details

References

Food and Agriculture Organization of the United Nations. Available online: URL (accessed on 13.06. 2026)

Shewry P.R., Hey S.J. The contribution of wheat to human diet and health // Food and Energy Security. – 2015. – № 4(3). – P. 178-202. Crossref

Shewry P.R., Halford N.G. Cereal seed storage proteins: structures, properties and role in grain utilization // Journal of Experimental Botany. – 2002. – Vol. 53. – P. 947-958. Crossref

USDA “Kazakhstan - Republic of Grain and Feed Update Kazakhstan Grain and Feed July Report”. – 2019. – P.11.

Бюро национальной статистики – URL: URL (дата обращения: 29.03.202)

Turuspekov Y., Baibulatova A., Yermekbayev K., Tokhetova L., Chudinov V., Sereda G., Ganal M.W, Griffiths S., Abugalieva S. GWAS for plant growth stages and yield components in spring wheat (Triticum aestivum L.) harvested in three regions of Kazakhstan // BMC Plant Biology. – 2017. – Vol. 17 (S1). – Р. 51-61. Crossref

Государственный реестр селекционных достижений, допущенных к использованию в Республике Казахстан – URL: URL (дата обращения: 30.05.2026)

Thomson M.J. High-throughput SNP genotyping to accelerate crop improvement. Plant Breeding Biotechnology. – 2014. – Vol. 2. – P.195-212 Crossref

Turuspekov Y., Plieske J., Ganal M., Akhunov E., Abugalieva S. Phylogenetic analysis of wheat cultivars in Kazakhstan based on the wheat 90 K single nucleotide polymorphism array // Plant Genetic Resources. – 2017. – Vol. 15(01). – P.29-35. Crossref

Allen A.M., Barker G.L., Berry S.T., Coghill J.A., Gwilliam R., Kirby S., Robinson P., Brenchley R.C., D`Amore R., McKenzie N., Waite D., Hall A., Bevan M., Hall N., Edwards K.J. Transcript-specific, single-nucleotide polymorphism discovery and linkage analysis in hexaploid bread wheat (Triticum aestivum L.) // Plant Biotechnology Journal. – 2011. – Vol. 9(9). – P. 1086-1099 Crossref

Burridge A.J., Winfield M., Przewieslik‐Allen A., Edwards K.J., Siddique I., Barral‐Arca R., Griffiths S., Cheng S., Huang Z., Feng C., Dreisigacker S., Bentley A.R., Brown-Guedira G., Barker G.L. Development of a next generation SNP genotyping array for wheat // Plant Biotechnology Journal. – 2024. – Vol. 22(8). – P. 2235-2247. Crossref

Collard B.C.Y., Mackill D.J. Marker-assisted selection: An approach for precision plant breeding in the twenty-first century // Philosophical Transactions of the Royal Society B: Biological Sciences. – 2008. – Vol. 363. – P. 557–572. Crossref

Varshney R.K., Roorkiwal M., Sorrells M.E. Genomics-assisted breeding for crop improvement // Trends in Plant Science. – 2014. – Vol. 65. – P. 583-606. Crossref

Tshikunde N.M., Mashilo J., Shimelis H., Odindo A. Agronomic and physiological traits, and associated quantitative trait loci (QTL) affecting yield response in wheat (Triticum aestivum L.): A review // Frontiers in Plant Science. – 2019. – Vol 10. – P. 1428. Crossref

Sukumaran S., Lopes M., Dreisigacker S., Reynolds M.P. Genetic analysis of multi-environmental spring wheat trials identifies genomic regions for locus-specific trade-offs for grain weight and grain number // Theoretical and Applied Genetics. – 2015. – Vol. 128. – P. 1747-1760. Crossref

Simmonds J., Scott P., Brinton J., Mestre T.C., Bush M., Del Blanco A., Dubcovsky J., Uauy C. A splice acceptor site mutation in TaGW2-A1 increases thousand grain weight in tetraploid and hexaploid wheat through wider and longer grains // Theoretical and Applied Genetics. 2016. – Vol. 129. – P. 1305–1316. Crossref

Amalova A., Abugalieva S., Babkenov A., Babkenova S., Turuspekov Y. Genome-wide association study of yield components in spring wheat collection harvested under two water regimes in Northern Kazakhstan // PeerJ. – 2021. – Vol. 9. – P. e11857. Crossref

Genievskaya Y., Turuspekov Y., Rsaliyev A., Abugalieva S. Genome-wide association mapping for resistance to leaf, stem, and yellow rusts of common wheat under field conditions of South Kazakhstan // PeerJ. – 2020. – Vol. 8. – P. e9820. Crossref

Amalova A., Griffiths S., Abugalieva S., Turuspekov Y. Genome-wide association study of yield-related traits in a nested association mapping population grown in Kazakhstan // Agronomy. – 2024. – Vol. 14(8). – P. 1848. Crossref

Amalova, A., Babkenov, A., Philp, C., Griffiths, S., Abugalieva, S., & Turuspekov, Y. Identification of quantitative trait loci associated with plant adaptation traits using nested association mapping population // Plants. – 2024. – Vol. 13(18). – P. 2623. Crossref

Abugalieva A.I., Abugalieva S.I., Quarri S.A., Turuspekov Y.K., Chakmak I., Savin T.V., & Ganeev V.A. Fe, Zn and S content in doubled haploid lines of Chinese spring× SQ1 wheat population // Vavilov Journal of Genetics and Breeding. – 2014. – Vol. 16(4/2). – P. 894-901.

Amalova A, Griffiths S, Abugalieva A, Abugalieva S, Turuspekov Y. Identification of quantitative trait loci for grain quality traits in a Pamyati Azieva × Paragon bread wheat mapping population grown in Kazakhstan // Plants. – 2025. – Vol. 14(11). – P. 1728. Crossref

Amalova A., Yermekbayev K., Griffiths S., Abugalieva S., Babkenov A., Fedorenko E., Abugalieva A., Turuspekov Y. Identification of quantitative trait loci of agronomic traits in bread wheat using a Pamyati Azieva× Paragon mapping population harvested in three regions of Kazakhstan // PeerJ. – 2022. – Vol. 10. – P. e14324. Crossref

Amalova, A., Abugalieva, S., Chudinov, V., Sereda, G., Tokhetova, L., Abdikhalyk, A., & Turuspekov, Y. QTL mapping of agronomic traits in wheat using the UK Avalon× Cadenza reference mapping population grown in Kazakhstan // PeerJ. – 2021. – Vol. 9. – P. e10733. Crossref

Amalova, A., Griffiths, S., Abugalieva, A., Abugalieva, S., & Turuspekov, Y. QTL mapping of grain quality traits in bread wheat using the Avalon× Cadenza double haploid mapping population across three contrasting regions of Kazakhstan // Agronomy. – 2026. – Vol. 16(8). – P. 832. Crossref

Rasheed A., Wen W., Gao F., Zhai S., Jin H., Liu J., Guo Q., Zhang Y., Dreisigacker S., Xia X., & He Z. Development and validation of KASP assays for genes underpinning key economic traits in bread wheat // Theoretical and Applied Genetics. – 2016. – Vol. 129. – No.10. – P. 1843-1860 Crossref

Genievskaya Y., Almerekova S., Chudinov V., Turuspekov Y., Abugalieva S. Validation of KASP assays associated with barley adaptation and productivity traits // Eurasian Journal of Applied Biotechnology. – 2022. – Vol. 3. – P. 64-74.

Amalova A.Y., Genievskaya Y.A., Abugalieva S.I., Chudinov V.A, Turuspekov Y.K. Validation of marker-trait associations in six-rowed barley lines bred in Kazakhstan // Eurasian Journal of Applied Biotechnology. – 2022. – Vol. 4. – P. 40- 48.

Yermekbayev K., Griffiths S., Chhetry M., Leverington-Waite M., Orford S., Amalova A., Abugalieva S. & Turuspekov Y. Construction of a Genetic Map of RILs Derived from Wheat (T. aestivum L.) Varieties Pamyati Azieva × Paragon Using High-Throughput SNP Genotyping Platform KASP – Kompetitive Allele Specific PCR // Russian Journal of Genetics. – 2020. – Vol. 56. – P.1090-1098 Crossref

Anuarbek S., Abugalieva S., Turuspekov Y. Validation of bread wheat KASP markers in durum lines in Kazakhstan // Proceeding of the Latvian Academy of Sciences. Section B. – 2019. – Vol. 73 (5/0. – P.462-465. Crossref

Anuarbek S., Chudinov V., Sereda G., Babkenov A., Savin T., Fedorenko E., Tsygankov V., Tsygankov A., Amalova A., Turuspekov Y. Yield stability analysis of bread wheat genotypes in Kazakhstan // Вестник КазНУ.Серия биологическая. – 2024. – Vol. 3 (100). – P. 56–68. Crossref

Доспехов Б. А. Методика полевого опыта: учебник. М.: Агропромиздат,– 1985. – 351 с.

Dellaporta S.L., Wood J., Hicks, J.B. A plant DNA minipreparation: Version II // Plant Molecular Biology Reporter. – 1983. – Vol. 1 (4). – P. 19–21

Пат. 7588 на полезную модель РК, A01H 1/04 (2006.01) Способ идентификации селекционно-ценных линий яровой мягкой пшеницы (Triticum aestivum L.) c использованием KASP маркеров» / Амалова А. Ы., Абугалиева С.И., Туруспеков Е.К; заявитель и патентообладатель РГП на ПХВ «Институт биологии и биотехнологии растений»; КН МНВО РК. – № 2022/0677.2; заявл. 03.08.2022; опубл. 04.08.2023, Бюл. № 31.

Semagn K., Babu R., Hearne S., Olsen M. Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement // Molecular breeding. – 2014. – Vol. 33(1). – P. 1-14. Crossref

Statistical Package for the Social Sciences Version 16.0 Available online: URL . (accessed on 01.10. 2025)

RStudio Team 2020. RStudio: Integrated Development for R. RStudio, PBC, Boston, MA Available online: URL. (accessed 11.08. 2025).

Peakall R., Smouse P.E. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research – an update // Bioinformatics. – 2012. – Vol. 28. – P. 2537-2539. Crossref

Savin T., Turuspekov Y., Amalova A., Anuarbek S., Babkenov A., Chudinov V., Fedorenko E., Kairzhanov Y., Maulenbay A., Sereda G., Sereda S., Tajibayev D., Tsygankov V., Tsygankov A., Zotova L., Morgounov A. Spring Wheat Breeding in Northern Kazakhstan: Drivers of Diversity and Performance // Crops. – 2025. – Vol. 5(5). – P. 63. Crossref

Turuspekov Y. Plant Genetics and Breeding in Kazakhstan: Current Status, Crop-Specific Advances, and Strategic Priorities for 2025-2030 // Conting. – Vol. 1. – № 202607 DOI: Crossref

Snape J.W., Butterworth K., Whitechurch E., Worland A. J. Waiting for fine times: genetics of flowering time in wheat // Euphytica. – 2001. – Vol. 119(1). – P. 185-190. Crossref

Turuspekov, Y., Sariev, B., Chudinov, V., Sereda, G., Tokhetova, L., Ortaev, A., Tsygankov A., Doszhanov M., Volis S., Abugalieva, S. Genotype×environment interaction patterns for grain yield of spring barley in different regions of Kazakhstan. Russian Journal of Genetics. – 2013. – Vol. 49(2). – P.196-205. Crossref