Yield Performances of Advanced Bread Wheat Mutant Lines

Year 2026, Volume: 12 Issue: 1, 32 - 37, 01.02.2026

Damla Balaban Göçmen , Oğuz Bilgin , Alpay Balkan , İsmet Başer , Kamil Özcan

https://izlik.org/JA73UG37CW

Abstract

The aim of this study is to identify the advanced mutant lines created by mutagen application to Sagittario, Flamura
85, NKÜ Lider, NKÜ Asiya and Tekirdağ varieties that are superior in terms of yield compared to their parents and
commercial varieties. Thirty-five mutant lines developed by through gamma rays parent varieties and nine bread wheat
commercial check varieties were used material. Forty-nine wheat genotypes were tested using a partially balanced lattice
design. According to the variance analysis, there were statistically significant differences in grain yield among the parent
varieties, mutant lines and commercial varieties. The NZFE 285 mutant line was the highest grain yield with 5961.9 kg
ha-1. The mutant lines of NZFE 285, NZFE 289, NZFE 249, NZFE 256, NZFE 242, NZFE 260, NZFE 284, NZFE 288,
NZFE 287, NZFE 292, NZFE 239, NZFE 267, NZFE 245, NZFE 274, NZFE 269, NZFE 262 and NZFE 255 were the other
highest grain yielding lines. The lowest grain yield was in NKÜ Asiya variety with 4804.6 kg ha-1, followed by NZFE 271
with 4814.6 kg ha-1, NZFE 277 with 5006.6 kg ha-1. The three mutant lines from Sagittario variety, one mutant line from the
NKÜ Lider variety, two mutant lines from Tekirdağ variety, and two of mutant lines from the NKÜ Asiya variety were the
higher grain yield compared to parent variety means. The average grain yield of the nine commercial bread wheat varieties
was 5693.8 kg ha-1. The mutant lines NZFE 285, NZFE 289, NZFE 249, NZFE 256, NZFE 242, NZFE 260, NZFE 284 and
NZFE 288 were higher grain yield than the average of commercial varieties and their parents.

Keywords

Bread wheat , mutant line , grain yield , control , standard variety

References

• Ahloowalia, B. S., & Maluszynski, M. (2001). Induced mutations - A new paradigm in plant breeding. Euphytica, 118(2), 167-173.
• Akter, N., & Rafiqul Islam, M. (2017). Heat stress effects and management in wheat: A review. Agronomy for Sustainable Development, 37(1), 1-17. https://doi.org/10.1007/s13593-017-0443-9 Aydoğan, S., & Soylu, S. (2017). Determination of yield and yield components and some quality characteristics of bread wheat varieties. Journal of Field Crops Central Research Institute, 26(1), 24-30.
• Balkan, A. (2018). Genetic variability, heritability and genetic advance for yield and quality traits in M2-4 generations of bread wheat (Triticum aestivum L.) genotypes. Turkish Journal of Field Crops, 23(2), 173-179.
• Chakraborty, N. R., & Paul, A. (2013). Role of induced mutations for enhancing nutrition quality and production of food. International Journal of Bioresource and Stress Management, 4(1), 091-096.
• Chen, K., Wang, Y., Zhang, R., Zhang, H., & Gao, C. (2019). CRISPR/Cas genome editing and precision plant breeding in agriculture. Annual Review of Plant Biology, 70(1), 667-697.
• Ersöz, İ., & Başçiftçi, Z. B. (2024). Comparison of yield and yield characteristics of some bread wheat (Triticum aestivum L.) varieties in winter sowing times and summer sowing. International Journal of Applied Biology and Environmental Sciences, 6(2), 44-50.
• FAOSTAT. (2023). World food and agriculture - Statistical yearbook 2023. FAO. https://doi. org/10.4060/cc8166en IAEA. (2022). Mutant Variety Database (MVD). FAO/ IAEA Centre of Nuclear Techniques in Food and Agriculture. Access Date: 15 November 2022, https://nucleus.iaea.org/sites/mvd/SitePages/ Search.aspx
• Kahraman, T., Güngör, H., Öztürk, İ., Yüce, İ., & Dumlupınar, Z. (2021). Evaluating the effects of genotype and environment on yield and some quality parameters in bread wheat (Triticum aestivum L.) genotypes using principal component and GGE biplot analyses. KSU Journal of Agriculture and Nature, 24(5), 992-1002.
• Kainthura, P., & Srivastava, R. (2015). Induction of genetic variability and isolation of mutants in Tuberose (Polianthes tuberosa L). Tropical Agricultural Research, 26(4), 721-732. Karaman, M., Akıncı, C., & Yıldırım, M. (2014). Investigation of the relationship between physiological parameters and grain yield in some bread wheat varieties. Trakya University Journal of Natural Sciences, 15(1), 41-46.
• Kumar, N., Nayak, J. K., Pal, N., Tyagi, S., Yadav, R. R., Joshi, P., Malik, R., Dhaka, N. S., Singh, V. K., & Kumar, S. (2024). Development and characterization of an EMS-mutagenized population of wheat (Triticum aestivum L.) for agronomic trait variation and increased micronutrients content. Cereal Research Communications, 53, 469-481.
• Nazarenko, M., Lykholat, Y., Grygoryuk, I., & Khromikh, N. (2018). Optimal doses and concentrations of mutagens for winter wheat breeding purposes. Part I. Grain productivity. Journal of Central European Agriculture, 19(1), 194-205.
• OlaOlorun, B. M., Shimelis, H., Laing, M., & Mathew, I. (2021). Development of wheat (Triticum aestivum L.) populations for drought tolerance and improved biomass allocation through ethyl methanesulphonate mutagenesis. Frontiers in Agronomy, 3, Article 655820. https://doi. org/10.3389/fagro.2021.655820
• Öztürk, İ., & Korkut, K. Z. (2018). Effect of drought on yield and yield components of bread wheat (Triticum aestivum L.) at different development stages. Journal of Tekirdağ Agricultural Faculty, 15(2), 128-137.
• Sharma, I., Tyagi, B. S., Singh, G., Venkatesh, K., & Gupta, O. P. (2015). Enhancing wheat production-a global perspective. Indian Journal of Agricultural Sciences, 85(1), 3-13.
• Van Harten, A. M. (1998). Mutation breeding: Theory and practical application. Cambridge University Press.
• Wang, W., Guan, X., Gan, Y., Liu, G., Zou, C., Wang, W., Zhang, J., Zhang, H., Hao, Q., & Ni, F. (2024). Creating large EMS populations for functional genomics breeding in wheat. Journal of Integrative Agriculture, 23(2), 484-493.