Phenotypic and genotypic evaluation of winter wheat samples and identified sources of economically valuable traits for breeding under conditions of Western Siberia

Keywords: winter wheat, collection, BLUP method, SNP loci, economically valuable traits

Abstract

Background. The genomic selection methods aim to select the parental forms for searching of genotypes with high breeding value to increase the efficiency of winter wheat breeding.

Purpose. To identify winter wheat varieties and lines as sources of economically valuable traits for breeding under conditions of Western Siberia based on phenotypic and genotypic evaluation methods.

Materials and methods. A phenotypic evaluation of 90 winter bread wheat samples from collection of different ecological and geographical origin was carried out in 2022–2024 via generally accepted field and laboratory methods. Phenotypic data were analyzed by BLUPI based on genotyping of the collection with usage of 55 KASP-markers.

Results. It was found that the prognostic values ​​of economically valuable traits of the collection samples provided by genomic method, were close to the phenotypic selection data. The varieties Donskoy Mayak, Donskaya Yubileinaya, KS13DH0039-99, lines WBLL1*2 / Kuruku /5/ Chuen-Mai 18…, TAM 200 / Kauz // Yu Mai 30 /4/ Pfau… had high genetic effects for winter hardiness (4.55–5.90) ​​with predicted winter hardiness of 65.3–66.5%. The samples K 18918, Konkurent, CO13D1299 had high genetic effects for No. of stems per unit area (23.3–30.2) and No. of spikes per plant (0.26–0.38); for the WBLL1*2 / Tukuru // Billings and Griset 9 /4/ Agri / NAC // Kauz /3/… higher prognostic effects were noted for the weight of grain per spike (0.06–0.08) and thousand kernel weight (1.89–1.91).

Conclusion. Samples with high genetic effects for the studied traits were identified, which should be included as sources in winter wheat breeding programs under conditions of Western Siberia.

EDN: UGRKWM

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Author Biographies

Inna V. Pototskaya, Omsk State Agrarian University named after P.A. Stolypin

Dr. Sc. (Agriculture), Assistant Professor, Professor of the Chair of Agronomy, Breeding, and Seed Production

Sergey S. Shepelev, Omsk State Agrarian University named after P.A. Stolypin

Cand. Sc. (Agriculture), Head of the Laboratory of Grain Crops Genetics

Alexandr S. Chursin, Omsk State Agrarian University named after P.A. Stolypin

Cand. Sc. (Agriculture), Head of the Laboratory of Field Crops Breeding and Seed Production

Alexandr М. Kovalchuk, Omsk State Agrarian University named after P.A. Stolypin

Post Graduate Student

Vladimir P. Shamanin, Omsk State Agrarian University named after P.A. Stolypin

Dr. Sc. (Agriculture), Professor, Professor of the Chair of Agronomy, Breeding, and Seed Production

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Meher, P. K., Rustgi, S., & Kumar, A. (2022). Performance of Bayesian and BLUP alphabets for genomic prediction: Analysis, comparison and results. Heredity, 128, 519–530. https://doi.org/10.1038/s41437-022-00539-9. EDN: https://elibrary.ru/OMFGUO

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Potapova, N. A., Zlobin, A. S., Leonova, I. N., Salina, E. A., & Tsepilov, Y. A. (2024). The BLUP method in evaluation of breeding values of Russian spring wheat lines using micro and macroelements in seeds. Vavilov Journal of Genetics and Breeding, 28(4), 456–462. https://doi.org/10.18699/vjgb-24-51. EDN: https://elibrary.ru/VRSSUH

Pototskaya, I. V., Shepelev, S. S., Turuspekov, Y. K., Morgounov, A. I., Chursin, A. S., Kovalchuk, A. M., Savin, T. V., & Shamanin, V. P. (2024). Breeding and genetic evaluation of international winter wheat collection under conditions of Western Siberia. Siberian Journal of Life Sciences and Agriculture, 6(16), [страницы не указаны]. https://doi.org/10.12731/2658-6649-2024-16-6-995. EDN: https://elibrary.ru/LMBBIY

Resende, M. D. V., & Alves, R. S. (2020). Linear, generalized, hierarchical, Bayesian and random regression mixed models in genetics/genomics in plant breeding. Functional Plant Breeding, 2, 1–31. https://doi.org/10.35418/2526-4117/v2n2a1. EDN: https://elibrary.ru/TVJADS

Silva, C. M., Mezzomo, H. C., Alves, R. S., de Resende, M. D. V., & Nardino, M. (2023). Optimizing selection of wheat genotypes through simulated individual BLUP and modified simulated individual BLUP. Agronomy Journal, 115(3), 1237–1247. https://doi.org/10.1002/agj2.21289. EDN: https://elibrary.ru/RGBIMJ

Signorini, V. S., e Silva, C. M., Lima, G. W., Vieira, E. F. T., Mezzomo, H. C., Casagrande, C. R., & Nardino, M. (2024). Parental selection proposal strategy for recurrent selection in tropical wheat breeding. Agronomy Journal, 116(1), 36–50. https://doi.org/10.1002/agj2.21505. EDN: https://elibrary.ru/LLHCQY

Sinha, D., Maurya, A. K., Abdi, G., Majeed, M., Agarwal, R., Mukherjee, R., Ganguly, S., Aziz, R., Bhatia, M., Majgaonkar, A., et al. (2023). Integrated genomic selection for accelerating breeding programs of climate smart cereals. Genes, 14, 1484. https://doi.org/10.3390/genes14071484. EDN: https://elibrary.ru/FYSKPY

Song, L., Wang, R., Yang, X., Zhang, A., & Liu, D. (2023). Molecular markers and their applications in marker assisted selection (MAS) in bread wheat (Triticum aestivum L.). Agriculture, 13, 642. https://doi.org/10.3390/agriculture13030642. EDN: https://elibrary.ru/TMELQN

Temirbekova, S. K., Kulikov, I. M., Afanasyeva, Y. V., Beloshapkina, O. O., Kalashnikova, E. A., Kirakosyan, R. N., Dokukin, P. A., Kucher, D. E., Latati, M., & Rebouh, N. Y. (2021). The evaluation of winter wheat adaptation to climate change in the Central Non Black Region of Russia: Study of the gene pool resistance of wheat from the N. I. Vavilov Institute of Plant Industry (VIR) world collection to abiotic stress factors. Plants, 10, 2337. https://doi.org/10.3390/plants10112337. EDN: https://elibrary.ru/DNYFJL

Yang, C. J., Ladejobi, O., Mott, R., Powell, W., & Mackay, I. (2022). Analysis of historical selection in winter wheat. Theoretical and Applied Genetics, 135, 3005–3023. https://doi.org/10.1007/s00122-022-04163-3. EDN: https://elibrary.ru/DTZVAL

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Ali, M., Zhang, Y., Rasheed, A., Wang, J., & Zhang, L. (2020). Genomic prediction for grain yield and yield related traits in Chinese winter wheat. International Journal of Molecular Sciences, 21, 1342. https://doi.org/10.3390/ijms21041342. EDN: https://elibrary.ru/YKNNNM

Charmet, G., Tran, L.-G., Auzanneau, J., Rincent, R., & Bouchet, S. (2020). BWGS: A R package for genomic selection and its application to a wheat breeding programme. PLoS ONE, 15(4), e0222733. https://doi.org/10.1371/journal.pone.0222733. EDN: https://elibrary.ru/TDFMPW

Hu, W., Gao, D., Liao, S., Cheng, S., Jia, J., & Xu, W. (2023). Identification of a pleiotropic QTL cluster for Fusarium head blight resistance, spikelet compactness, grain number per spike and thousand grain weight in common wheat. The Crop Journal, 11(2), 672–677. https://doi.org/10.1016/j.cj.2022.09.007. EDN: https://elibrary.ru/ADMVFY

Kaur, B., Mavi, G. S., Gill, M. S., & Saini, D. K. (2020). Utilization of KASP technology for wheat improvement. Cereal Research Communications, 48, 409–421. https://doi.org/10.1007/s42976-020-00057-6. EDN: https://elibrary.ru/GQKVZW

Li, H., Zhou, Y., Xin, W., Wei, Y., Zhang, J., & Guo, L. (2019). Wheat breeding in northern China: Achievements and technical advances. The Crop Journal, 7(6), 718–729. https://doi.org/10.1016/j.cj.2019.09.003. EDN: https://elibrary.ru/DNLEMF

Li, T., Deng, G., Su, Y., Yang, Z., Tang, Y., Wang, J., Qiu, X., Pu, X., Li, J., Liu, Z., et al. (2021). Identification and validation of two major QTLs for spike compactness and length in bread wheat (Triticum aestivum L.) showing pleiotropic effects on yield related traits. Theoretical and Applied Genetics, 134, 3625–3641. https://doi.org/10.1007/s00122-021-03918-8. EDN: https://elibrary.ru/UMYBYR

Lozada, D. N., & Carter, A. H. (2020). Genomic selection in winter wheat breeding using a recommender approach. Genes, 11(7), 779. https://doi.org/10.3390/genes11070779. EDN: https://elibrary.ru/UDBBXZ

Meher, P. K., Rustgi, S., & Kumar, A. (2022). Performance of Bayesian and BLUP alphabets for genomic prediction: Analysis, comparison and results. Heredity, 128, 519–530. https://doi.org/10.1038/s41437-022-00539-9. EDN: https://elibrary.ru/OMFGUO

Mourad, A. M. I., Sallam, A., Belamkar, V., Wegulo, S., Bowden, R., Jin, Y., Mahdy, E., Bakheit, B., El Wafaa, A. A., Poland, J., & Baenziger, P. S. (2018). Genome wide association study for identification and validation of novel SNP markers for Sr6 stem rust resistance gene in bread wheat. Frontiers in Plant Science, 9, 380. https://doi.org/10.3389/fpls.2018.00380

Nishio, M., & Satoh, M. (2015). Genomic best linear unbiased prediction method including imprinting effects for genomic evaluation. Genetics Selection Evolution, 47, 32. https://doi.org/10.1186/s12711-015-0091-y. EDN: https://elibrary.ru/BEXBHM

Potapova, N. A., Zlobin, A. S., Leonova, I. N., Salina, E. A., & Tsepilov, Y. A. (2024). The BLUP method in evaluation of breeding values of Russian spring wheat lines using micro and macroelements in seeds. Vavilov Journal of Genetics and Breeding, 28(4), 456–462. https://doi.org/10.18699/vjgb-24-51. EDN: https://elibrary.ru/VRSSUH

Pototskaya, I. V., Shepelev, S. S., Turuspekov, Y. K., Morgounov, A. I., Chursin, A. S., Kovalchuk, A. M., Savin, T. V., & Shamanin, V. P. (2024). Breeding and genetic evaluation of international winter wheat collection under conditions of Western Siberia. Siberian Journal of Life Sciences and Agriculture, 6(16), [страницы не указаны]. https://doi.org/10.12731/2658-6649-2024-16-6-995. EDN: https://elibrary.ru/LMBBIY

Resende, M. D. V., & Alves, R. S. (2020). Linear, generalized, hierarchical, Bayesian and random regression mixed models in genetics/genomics in plant breeding. Functional Plant Breeding, 2, 1–31. https://doi.org/10.35418/2526-4117/v2n2a1. EDN: https://elibrary.ru/TVJADS

Silva, C. M., Mezzomo, H. C., Alves, R. S., de Resende, M. D. V., & Nardino, M. (2023). Optimizing selection of wheat genotypes through simulated individual BLUP and modified simulated individual BLUP. Agronomy Journal, 115(3), 1237–1247. https://doi.org/10.1002/agj2.21289. EDN: https://elibrary.ru/RGBIMJ

Signorini, V. S., e Silva, C. M., Lima, G. W., Vieira, E. F. T., Mezzomo, H. C., Casagrande, C. R., & Nardino, M. (2024). Parental selection proposal strategy for recurrent selection in tropical wheat breeding. Agronomy Journal, 116(1), 36–50. https://doi.org/10.1002/agj2.21505. EDN: https://elibrary.ru/LLHCQY

Sinha, D., Maurya, A. K., Abdi, G., Majeed, M., Agarwal, R., Mukherjee, R., Ganguly, S., Aziz, R., Bhatia, M., Majgaonkar, A., et al. (2023). Integrated genomic selection for accelerating breeding programs of climate smart cereals. Genes, 14, 1484. https://doi.org/10.3390/genes14071484. EDN: https://elibrary.ru/FYSKPY

Song, L., Wang, R., Yang, X., Zhang, A., & Liu, D. (2023). Molecular markers and their applications in marker assisted selection (MAS) in bread wheat (Triticum aestivum L.). Agriculture, 13, 642. https://doi.org/10.3390/agriculture13030642. EDN: https://elibrary.ru/TMELQN

Temirbekova, S. K., Kulikov, I. M., Afanasyeva, Y. V., Beloshapkina, O. O., Kalashnikova, E. A., Kirakosyan, R. N., Dokukin, P. A., Kucher, D. E., Latati, M., & Rebouh, N. Y. (2021). The evaluation of winter wheat adaptation to climate change in the Central Non Black Region of Russia: Study of the gene pool resistance of wheat from the N. I. Vavilov Institute of Plant Industry (VIR) world collection to abiotic stress factors. Plants, 10, 2337. https://doi.org/10.3390/plants10112337. EDN: https://elibrary.ru/DNYFJL

Yang, C. J., Ladejobi, O., Mott, R., Powell, W., & Mackay, I. (2022). Analysis of historical selection in winter wheat. Theoretical and Applied Genetics, 135, 3005–3023. https://doi.org/10.1007/s00122-022-04163-3. EDN: https://elibrary.ru/DTZVAL


Published
2025-11-30
How to Cite
Pototskaya, I., Shepelev, S., Chursin, A., Kovalchuk, A., & Shamanin, V. (2025). Phenotypic and genotypic evaluation of winter wheat samples and identified sources of economically valuable traits for breeding under conditions of Western Siberia. Siberian Journal of Life Sciences and Agriculture, 17(5), 341-365. https://doi.org/10.12731/2658-6649-2025-17-5-1268
Section
Plant Breeding and Seed Production