Skip to main navigation menu Skip to main content Skip to site footer
Plant Science Today (PST)

Research Articles

Early Access

Evaluation of morpho-biological indicators of the winter wheat RIL population resistant to yellow rust

DOI
https://doi.org/10.14719/pst.12228
Submitted
12 October 2025
Published
30-03-2026

Abstract

Yellow rust (Puccinia striiformis f. sp. tritici) is a critical threat to wheat production in Uzbekistan, often resulting in significant yield losses. Developing resilient varieties through recombinant inbred line (RIL) populations is essential to stabilise regional food security. This study evaluated the morpho-biological and agronomic performance of an F8 RIL population (n = 100) derived from a cross between the resistant donor KR12-9010 and the high-yielding recurrent parent Jaykhun. The experiment was conducted during 2024–2025 at the Centre of Genomics and Bioinformatics, Tashkent (41°20' N, 69°18' E), using a randomised complete block design (RCBD) with three replicates. Plants were grown under an artificial infectious background created using a 1:300 ratio of P. striiformis urediniospores powder. Key observations included tillering, plant height, spike length, grain count per spike and grain weight per spike. Statistical analyses, including K-means clustering and analysis of variance (ANOVA), identified 43 “RIL_max” lines that were significantly superior to the recurrent parent Jaykhun. Notably, 26 elite lines surpassed the recipient in all evaluated traits and matched or exceeded the donor line KR12-9010, even under high disease pressure. These lines demonstrated successful introgression of resistance along with improved yield components. These findings provide advanced germplasm for wheat breeding programmes, offering a practical solution for sustainable production in rust-affected areas.

References

  1. 1. Kiani R, Arzani A, Mirmohammady Maibody SAM. Polyphenols, flavonoids and antioxidant activity involved in salt tolerance in wheat, Aegilops cylindrica and their amphidiploids. Front Plant Sci. 2021;12:646221. https://doi.org/10.3389/fpls.2021.646221
  2. 2. Erenstein O, Jaleta M, Sonder K, Mottaleb K, Prasanna BM. Global maize production, consumption and trade: trends and R&D implications. Food Secur. 2022;14:1295–319. https://doi.org/10.1007/s12571-022-01288-7
  3. 3. Figueroa M, Hammond-Kosack KE, Solomon PS. A review of wheat diseases-a field perspective. Mol Plant Pathol. 2018;19(6):1523–36. https://doi.org/10.1111/mpp.12618
  4. 4. Wan A, Zhao Z, Chen X, He Z, Jin S, Jia Q, et al. Wheat stripe rust epidemic and virulence of Puccinia striiformis f. sp. tritici in China in 2002. Plant Dis. 2004;88:896–904. https://doi.org/10.1094/PDIS.2004.88.8.896
  5. 5. Chen W, Wellings C, Chen X, Kang Z, Liu T. Wheat stripe (yellow) rust caused by Puccinia striiformis f. sp. tritici. Mol Plant Pathol. 2014;15:433–46. https://doi.org/10.1111/mpp.12116
  6. 6. Chen X, Kang Z. Integrated control of stripe rust. In: Chen X, Kang Z, editors. Stripe rust. Berlin/Heidelberg: Springer; 2017. p. 559–99. https://doi.org/10.1007/978-94-024-1111-9_6
  7. 7. Beddow JM, Pardey PG, Chai Y, Hurley TM, Kriticos JD, Park RF, et al. Research investment implications of shifts in the global geography of wheat stripe rust. Nat Plants. 2015;1:15132. https://doi.org/10.1038/nplants.2015.132
  8. 8. Chen X. Pathogens which threaten food security: Puccinia striiformis, the wheat stripe rust pathogen. Food Secur. 2020;12:239–51. https://doi.org/10.1007/s12571-020-01016-z
  9. 9. Kokhmetova A, Rsaliyev S, Atishova M, Kumarbayeva M, Malysheva A, Keishilov Z, et al. Evaluation of wheat germplasm for resistance to leaf rust (Puccinia triticina) and identification of the sources of Lr resistance genes using molecular markers. Plants. 2021;10(7):1484. https://doi.org/10.3390/plants10071484
  10. 10. Bai Q, Wan A, Wang M, See DR, Chen X. Molecular characterization of wheat stripe rust pathogen (Puccinia striiformis f. sp. tritici) collections from nine countries. Int J Mol Sci. 2021;22:9457. https://doi.org/10.3390/ijms22179457
  11. 11. Zhao J, Wang L, Wang Z, Chen X, Zhang H, Yao J, et al. Identification of eighteen Berberis species as alternate hosts of Puccinia striiformis f. sp. tritici and virulence variation in pathogen isolates from natural infection of barberry plants in China. Phytopathology. 2013;103:927–34. https://doi.org/10.1094/PHYTO-09-12-0249-R
  12. 12. Zhang QQ, Men XY, Hui C, Ge F, Ouyang F. Wheat yield losses from pests and pathogens in China. Agric Ecosyst Environ. 2022;326:107821. https://doi.org/10.1016/j.agee.2021.107821
  13. 13. Ma ZH. Researches and control of wheat stripe rust in China. J Plant Prot. 2018;45:1–6.
  14. 14. Sanin SS. Agricultural plant disease control–The main factor of crop production intensification. Plant Prot News. 2010;1:3–14.
  15. 15. Gultyaeva E, Shaydayuk E, Gannibal PH, Kosman E. Analysis of host-specific differentiation of Puccinia striiformis in the south and north-west of the European part of Russia. Plants. 2021;10:2497. https://doi.org/10.3390/plants10112497
  16. 16. Ivanova YN, Rosenfread KK, Stasyuk AI, Skolotneva ES, Silkova OG. Raise and characterization of a bread wheat hybrid line (Tulaykovskaya 10 × Saratovskaya 29) with chromosome 6Agi2 introgressed from Thinopyrum intermedium. Vavilov J Genet Breed. 2021;25:701–12. https://doi.org/10.18699/VJ21.080
  17. 17. Druzhin AE. Effect of climate change on the structure of populations of spring wheat pathogens in the Volga region. Agrar Report South-East. 2010;1:31–6.
  18. 18. Zeleneva YV, Sudnikova VP, Buchneva GN. Immunological characteristics of soft winter wheat varieties in conditions of the CBR. Proc Kuban State Agrar Univ. 2022;96:95–9. https://doi.org/10.21515/1999-1703-96-95-99
  19. 19. Saari EE, Prescott JM. World distribution in relation to economic losses. In: Roelfs AP, Bushnell WR, editors. The cereal rusts, vol. 2: Diseases, distribution, epidemiology and control. Orlando: Academic Press; 1985. p. 259–98. https://doi.org/10.1016/B978-0-12-148402-6.50017-1
  20. 20. Kisana SN, Mujahid YM, Mustafa ZS. Wheat production and productivity 2002–2003: a technical report to appraise the issues and future strategies. Islamabad, Pakistan: National Agricultural Research Center, PARC; 2003.
  21. 21. Röbbelen G, Sharp EL. Mode of inheritance, interaction and application of genes conditioning resistance to yellow rust. Fortschr Pflanzenzücht. 1978;9:1–88.
  22. 22. Line RF. Stripe rust of wheat and barley in North America: a retrospective historical review. Annu Rev Phytopathol. 2002;40:75–118. https://doi.org/10.1146/annurev.phyto.40.020102.111645
  23. 23. Awais M, Ma J, Chen W, Zhang B, Turakulov KS, Li L, et al. Molecular genotyping revealed the gene flow of Puccinia striiformis f. sp. tritici clonal lineage from Uzbekistan of Central Asia to Xinjiang of China. Phytopathol Res. 2025;7:2. https://doi.org/10.1186/s42483-024-00290-5
  24. 24. Turaev OS, Baboev SK, Ziyaev ZM, Norbekov JK, Erjigitov DS, Bakhadirov US, et al. Status and future perspectives of wheat (Triticum aestivum L.) research in Uzbekistan. Sabrao J Breed Genet. 2023;55(5):1463–75. https://doi.org/10.54910/sabrao2023.55.5.2
  25. 25. McIntosh RA, Wellings CR, Park RF. Wheat rusts: an atlas of resistance genes. CSIRO, Australia; 1995.
  26. 26. He Z, Joshi AK, Zhang W. Climate vulnerabilities and wheat production. In: Pielke RA, editor. Climate vulnerability. Academic Press; 2013. p. 57–67. https://doi.org/10.1016/B978-0-12-384703-4.00235-5
  27. 27. Norbekov JK, Khusenov NN, Salokhutdinov IB, Normamatov IS, Boykobilov UA, Muxammadaliyev RI, et al. Genetic diversity analysis and DNA fingerprinting of bread wheat (Triticum aestivum L.) cultivars in Uzbekistan using SSR markers. Plant Breed Biotech. 2024;12:193–209. https://doi.org/10.9787/PBB.2024.12.193
  28. 28. Guo A, Huang W, Ye H, Dong Y, Ma H, Ren Y, et al. Identification of wheat yellow rust using spectral and texture features of hyperspectral images. Remote Sens. 2020;12:1419. https://doi.org/10.3390/rs12091419

Downloads

Download data is not yet available.