MORPHOBIOLOGICAL CHARACTERISTICS OF WHEAT (TRITICUM AESTIVUM L.) GENETIC RESOURCES AND THEIR BREEDING SIGNIFICANCEм
DOI:
https://doi.org/10.55956/WUPG7269Keywords:
genetic resources, wheat (Triticum aestivum L.), gene pool, genotype, morphobiological traits, breeding, spike structure, grain, thousand kernel weight, phenological traits.Abstract
Abstract. This article presents a comprehensive study of the morphobiological characteristics of wheat (Triticum aestivum L.) genetic resources and their breeding significance. The research was conducted in 2024–2025 and included 384 collection samples obtained from various geographical regions (Central Asia, Russia, Africa, America, and Asian countries). Key agronomically valuable traits such as phenological stages (emergence, heading, maturation), plant height, spike structure, and thousand kernel weight were thoroughly analyzed. The results revealed significant phenotypic variability among the genotypes. The thousand kernel weight ranged from 46 to 56 g, with an average value of 50.7 g, indicating high stability of this trait. In addition, considerable differences were identified among the samples in terms of resistance to yellow rust, with some genotypes demonstrating high resistance, making them valuable donors for breeding programs. The most promising results were observed in samples belonging to the Lutescens, Erythrospermum, and Aestivum groups. These samples are characterized by large grain size, high productivity, and adaptability to environmental conditions. The obtained results provide an important scientific and practical basis for the effective utilization of wheat gene pool, conservation of genetic diversity, and development of new high-yielding varieties resistant to stress factors under climate change conditions.
Abstract. This article presents a comprehensive study of the morphobiological characteristics of wheat (Triticum aestivum L.) genetic resources and their breeding significance. The research was conducted in 2024–2025 and included 384 collection samples obtained from various geographical regions (Central Asia, Russia, Africa, America, and Asian countries). Key agronomically valuable traits such as phenological stages (emergence, heading, maturation), plant height, spike structure, and thousand kernel weight were thoroughly analyzed. The results revealed significant phenotypic variability among the genotypes. The thousand kernel weight ranged from 46 to 56 g, with an average value of 50.7 g, indicating high stability of this trait. In addition, considerable differences were identified among the samples in terms of resistance to yellow rust, with some genotypes demonstrating high resistance, making them valuable donors for breeding programs. The most promising results were observed in samples belonging to the Lutescens, Erythrospermum, and Aestivum groups. These samples are characterized by large grain size, high productivity, and adaptability to environmental conditions. The obtained results provide an important scientific and practical basis for the effective utilization of wheat gene pool, conservation of genetic diversity, and development of new high-yielding varieties resistant to stress factors under climate change conditions.
References
1. Aberqulov, M.N., Nazarov, Kh.K. Qishloq xo‘jaligi ekinlari seleksiyasining genetik asoslari. – Toshkent, 2020. – 252 b.
2. Atabayeva, H.N., Xudayqulov, J.B. O‘simlikshunoslik: darslik. – Toshkent, 2018. – 407 b.
3. Bowser, A., Wiggins, A., Shanley, L. Building citizen science capacity through online biodiversity tools // Citizen Science: Theory and Practice. – 2020. – Vol. 5, № 1. – P. 25–39.
4. Di Cecco, G.J. et al. Integrating citizen observations with remote sensing for biodiversity assessments // Global Ecology and Conservation. – 2021. – Vol. 28. – e01672.
5. Miller, C. et al. Assessing accuracy in iNaturalist species identification // Biodiversity Data Journal. – 2020. – Vol. 8. – e53522.
6. Ueda, K., Leary, P. Community engagement and data quality in iNaturalist // Citizen Science Journal. – 2022. – Vol. 9, № 2. – P. 41–57.
7. Turdikulov, B. Fuqarolik ilm-fani va O‘zbekistonning biologik xilma-xilligi: iNaturalist platformasi misolida // O‘zbekiston Ekologiya Jurnali. – 2023. – Vol. 2, № 1. – P. 33–41.
8. GBIF. Global Biodiversity Information Facility – Open Data Portal. – 2024.
9. iNaturalist.org. Citizen Science and Biodiversity Data. – 2025.
10. FAO. Strategic Framework for Sustainable Agriculture and Biodiversity Conservation (2022–2031). – 2022.
11. Lakhiar, I.A. et al. Digital Tools in Agricultural Research: Trends and Implications // Agricultural Informatics Journal. – 2024.
12. Grundas, S., Velikanov, L.P. Identification of Wheat Morphotype and Variety Based on X-Ray Images of Kernels. – InTech, 2013. – DOI: 10.5772/52236.
13. Larikova, Y.S. Morphological features of winter wheat grains (Triticum aestivum L.): DrSc Thesis. – 2007. – 22 p.
14. Nawrocka, A., Grundas, S., Grodek, J. Losses caused by granary weevil larva in wheat grain using digital analysis of X-ray image // International Agrophysics. – 2010. – Vol. 24, № 1. – P. 63–68.
15. What is iNaturalist – GBIF [Electronic resource]. – Access mode: https://help.inaturalist.org/ru-RU/support/solutions/articles/151000169906-что-такое-inaturalist-gbif (accessed: 2026).
16. Salimov, X.V. Russko-uzbekskiy tolkovyy slovar po ekologii, okhrane okruzhayushchey sredy i prirodopolzovaniyu (terminy i ponyatiya). – Tashkent: Fan va texnologiya, 2009. – 336 p.
17. Seltzer, C.E., Kullen, L., Ueda, K. Citizen science and biodiversity monitoring: The iNaturalist platform // Ecological Informatics. – 2019. – Vol. 52. – P. 101–118.
18. Norbekov, J.K., Xusenov, N.N. et al. Bug‘doy navlarining genetik xilma-xillik darajasi hamda filogenetik munosabatlari // Genetika, genomika va biotexnologiyaning zamonaviy muammolari: Respublika ilmiy anjumani tezislar to‘plami. – 2024. – 16 may. – B. 119–121.
19. Observations in the Caucasus by Oleg Kosterin [Electronic resource]. – Access mode: https://inaturalist.nz/projects/observations-in-the-caucasus-by-oleg-kosterin (accessed: 2026).
20. Musayev, D.A., Turabekov, Sh. et al. Genetika va seleksiya asoslari: darslik. – Toshkent: Voris nashriyot, 2012. – 434 b.
Downloads
Published online
Issue
Section
License
Copyright (c) 2026 Максудхон Мусинович Саримсаков, З.М. Зияев, Х.М. Хасанов (Автор)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
