The effect of initial selection conditions on the breeding results in spring bread wheat
https://doi.org/10.30901/2227-8834-2026-2-o17
Abstract
Background. Genotype evaluation in a segregating population is often biased due to unregulated factors, such as heterozygosity, plant competition, soil differences, or weather conditions in the year of selection. The effect of the first three cannot be eliminated in early hybrid generations, but it is partially possible to regulate environmental factors through planting in different agroecological environments, geographic locations, and years. The most suitable way of plant selection under diverse conditions is to replant segregating populations continuously for several years.
Materials and methods. Twenty-four spring bread wheat lines, obtained by individual selection from eight segregating populations in three years (2017, 2018, and 2019), were evaluated for yield and yield components in the Ob River forest-steppe, Altai Territory (Barnaul), in 2024 and 2025.
Results. The greatest contribution to the yield variability in the advanced lines was made by the factor “year of testing advanced lines” (37.6%). The factor “year of selection from a segregating population” accounted for only 2% of the total yield variability, but the interaction of the factors “pedigree” and “year of selection from a segregating population” contributed to 15.4% of the yield variability. Even though the average yield was the highest in the lines selected in 2019 (415 g/m2 vs. 408 g/m2 and 383 g/m2 in 2017 and 2018, respectively), the largest number of lines with high yield was selected from the populations planted in 2017 (4 pcs. vs. 2 and 1 pcs. in 2018 and 2019, respectively).
Conclusion. Natural conditions in the year of selection produce a significant impact on the variability of almost all characters in advanced lines of spring bread wheat. Individual selection from various segregating populations in different years makes it possible to employ wide variability, which would increase wheat breeding efficiency.
Keywords
Supporting agencies: this work was implemented within the framework of the state task delegated to the Federal Altai Scientific Center of Agro-Biotechnologies: No. 0534-2024-0003 “The use of genetics and biotechnological research methods in plant breeding”.
About the Author
S. B. Lepekhov
Federal Altai Scientific Center of Agro-Biotechnologies
Russian Federation
Russian Federation
Sergey B. Lepekhov, Cand. Sci. (Agriculture), Head of a Laboratory
35 Nauchny Gorodok, Barnaul 656910, Russia
References
1. Ahakpaz F., Abdi H., Neyestani E., Hesami A., Mohammadi B., Mahmoudi K.N. et al. Genotype-by-environment interaction analysis for grain yield of barley genotypes under dryland conditions and the role of monthly rainfall. Agricultural Water Management. 2021;245:106665. DOI: 10.1016/j.agwat.2020.106665
2. Ahmad A., Gupta R.K. Genetic variability, heritability and genetic advance for yield and yield associated traits in bread wheat (Triticum aestivum L.). Annals of Agricultural and Crop Sciences. 2023;8(1):1125. DOI: 10.26420/annagriccropsci.2023.1125
3. Ahmad Z., Khan N.U., Gul S., Iqbal A., Ali S., Ali N. et al. Wheat assessment for heat stress tolerance using stress selection indices under distinct planting regimes. Pakistan Journal of Botany. 2022;54(3):823-834. DOI: 10.30848/PJB2022-3(33)
4. Albayrak O., Bayhan M., Ozkan R., Akinci C., Yildirim M. Effect of drought on morphological and physiological development of bread wheat (Triticum aestivum L.) genotypes at pre and post heading period. Applied Ecology and Environmental Research. 2021;19(6):4251-4263. DOI: 10.15666/aeer/1906_42514263
5. Belan I.A., Rosseeva L.P., Blokhina N.P., Grigoriev Y.P., Mukhina Y.V, Trubacheeva N.V. et al. Resource potential of soft spring wheat varieties for the conditions of Western Siberia and Omsk region (analytical review). Agricultural Science Euro-North-East. 2021;22(4):449-465. [in Russian]. DOI: 10.30766/2072-9081.2021.22.4.449-465
6. Braun H.J., Rajaram S., van Ginkel M. CIMMYT’s approach to breeding for wide adaptation. Euphytica. 1996;92(1):175-183. DOI: 10.1007/BF00022843
7. Demina I.F. Adaptabilities of spring wheat varieties and lines in terms of productivity and elements of its structure in forest-steppe conditions of the Middle Volga region. International Agricultural Journal. 2022;65(5):530-534. [in Russian]. DOI: 10.55186/25876740_2022_65_5_530
8. Fedosenko D.F., Sidorov A.V. Assessment of adaptability of spring soft wheat varieties of Krasnoyarsk breeding by grain productivity. Vestnik of Omsk SAU. 2024;2(54):64-70. [in Russian]
9. Filippova E., Mal’ceva L., Bannikova N., Drobot I., Kataeva N. The environmental testing role as a decisive factor in evaluating new spring soft wheat variety Aist 45. The Bulletin of KrasGAU. 2023;(2):65-72. [in Russian]. DOI: 10.36718/1819-4036-2023-2-65-72
10. Fischer R.A., Rebetzke G.J. Indirect selection for potential yield in early-generation, spaced plantings of wheat and other small-grain cereals: a review. Crop and Pasture Science. 2018;69(5):439-459. DOI: 10.1071/CP17409
11. Javed A., Ahmad N., Ahmed J., Hameed A., Ashraf M.A., Zafar A.S. et al. Grain yield, chlorophyll and protein contents of elite wheat genotypes under drought stress. Journal of King Saud University – Science. 2022;34(7):102279. DOI: 10.1016/j.jksus.2022.102279
12. Kadychegova A.N., Borodynya A.N., Kadychegova V.I., Kadychegov V.A. Forecrop effect on the yield of spring soft wheat varieties of different ripeness groups in the steppe zone of southern Central Siberia. Bulletin of Altai State Agricultural University. 2015;2(124):5-10. [in Russian]
13. Konovalov Yu.B., Al-Sobakhi S.S. Prediction of efficiency in selection from crops of different density for spring bread wheat cultivars (Prognoz effektivnosti otbora iz posevov razlichnoy gustoty u sortov yarovoy myagkoy pshenitsy). Izvestiya of Timiryazev Agricultural Academy. 1983;(5):43-50. [in Russian]
14. Kuz’min O.G., Chursin A.S., Krasnova Yu.S., Karakoz I.I., Shamanin V.P. Evaluation of the ecological plasticity of promising lines from the KASIB-20 nursery according to yield and grain quality. Vestnik of Omsk SAU. 2021;1(41):28-36. [in Russian]. DOI: 10.48136/2222-0364_2021_1_28
15. Lakin G.F. Biometrics (Biometriya). Moscow: Vysshaya Shkola; 1980. [in Russian]
16. Malchikov P.N. Set of habitats for selection of homeoadaptive varieties of summer durum wheat. Agrarian Reporter of South-East. 2009;2(2):32-35. [in Russian]
17. Maslova G.A., Astashov A.N., Zhuzhukin V.I., Bagdalova A.Z., Safronov A.A. Influence of the sowing method and the predecessor on the yield of new chickpea varieties. The Agrarian Scientific Journal. 2021;(11):31-35. [in Russian]. DOI: 10.28983/asj.y2021i11pp31-35
18. Mondal S., Dutta S., Crespo-Herrera L., Huerta-Espino J., Braun H.J., Singh R.P. Fifty years of semi-dwarf spring wheat breeding at CIMMYT: Grain yield progress in optimum, drought and heat stress environments. Field Crops Research. 2020;250:107757. DOI: 10.1016/j.fcr.2020.107757
19. Musalitin G.M., Boradulina V.A., Kuzikeyev Zh.V., Deines N.V. Economic and biological characteristics of a new grain-fodder barley variety Aley. Bulletin of Altai State Agricultural University. 2017;11(157):18-22. [in Russian]
20. Ndondi R.V. Comparison of F2 single plant grain yield and total dry matter as estimators of yield potential in wheat. In: M. van Ginkel, D.G. Tanner (eds). Fifth Regional Wheat Workshop for Eastern, Central, and Southern Africa and the Indian Ocean (Antsirabe, Madagascar, October 5–10, 1987). Mexico: CIMMYT; 1988. p.74-78.
21. Pour-Aboughadareh A., Khalili M., Poczai P., Olivoto T. Stability indices to deciphering the genotype-by-environment interaction (GEI) effect: an applicable review for use in plant breeding programs. Plants (Basel). 2022;11(3):414. DOI: 10.3390/plants11030414
22. Rajaram S., van Ginkel M. Mexico, 50 years of international wheat breeding. In: A.P. Bonjean, W.J. Angus (eds). The World Wheat Book: A History of Wheat Breeding. Paris: Lavoisier Publishing; 2001. p.579-608.
23. Richards R.A. Defining selection criteria to improve yield under drought. Plant Growth Regulation. 1996;20:57-166. DOI: 10.1007/BF00024012
24. Syukov V.V., Shabolkina E.N., Viyushkov A.A., Porotkin S.E., Gulaeva N.V. Spring soft wheat ‘Tulaykovskaya nadezhda’. Grain Economy of Russia. 2017;4(52):14-16. [in Russian]
25. Syukov V.V., Zakharov V.G., Malchikov P.N., Krivobochek V.G., Nikonov V.I., Vasilova N.Z., et al. Evaluation of the differentiation ability of ecological points in generated environmental vector program “Ekada”. The Agrarian Scientific Journal. 2019;(4):32-37. [in Russian]. DOI: 10.28983/asj.y2019i4pp32-37
26. Ud-Din N., Carver B.F., Clutter A.C. Genetic analysis and selection for wheat yield in drought-stressed and irrigated environments. Euphytica. 1992;62(2):89-96. DOI: 10.1007/BF00037933
27. Vaezi B., Pour-Aboughadareh A., Mohammadi R., Mehraban A., Hossein-Pour T., Koohkan E. et al. Integrating different stability models to investigate genotype × environment interactions and identify stable and high-yielding barley genotypes. Euphytica. 2019;215(4):63. DOI: 10.1007/s10681-019-2386-5
28. Zenkina K.V., Aseeva T.A. Formation of the yield spring soft wheat in the Middle Amur region conditions. The Bulletin of KrasGAU. 2024;12(213):19-25. [in Russian]. DOI: 10.36718/1819-4036-2024-12-19-25
29. Zhu Y.H., Weiner J., Jin Y., Yu M.X., Li F.M. Biomass allocation responses to root interactions in wheat cultivars support predictions of crop evolutionary ecology theory. Frontiers in Plant Science. 2022;13:858636. DOI: 10.3389/fpls.2022.858636
Review
For citations:
Lepekhov S.B. The effect of initial selection conditions on the breeding results in spring bread wheat. Proceedings on applied botany, genetics and breeding. 2026;187(2):168-177. (In Russ.) https://doi.org/10.30901/2227-8834-2026-2-o17
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