KOROLEV K.P.

K P KOROLEV

UDC 633.152.47

KOROLEV K.P.

Published in Vestnik of Omsk SAU · Volume 56, Issue 4 · Pages 81–89 · Rubric: AGRONOMY

EDN: SJRGXP

Received: 06.12.2024 Accepted: 15.12.2024 Published: 25.12.2024

Authors

K P KOROLEV

Tyumen State University

ABSTRACT

In connection with the trend of global climate change, the adaptive potential of plants and their use in breeding becomes relevant. This article presents the results of a study of the genotypes of fiber flax of the third (F3) - fifth (F5) generations. The objective of the study was a comprehensive assessment of hybrid flax populations for the main economically valuable traits and adaptive properties, and selection of the best of them for further breeding use. Field testing of plants was carried out at the biological station of Tyumen State University "Lake Kuchak" (Nizhnetavdinsky District, Tyumen Region). The laying out and conducting all the necessary records and observations were carried out according to the generally accepted methodology. According to the AMMI analysis, reliable differences (p < 0.05; p < 0.01) were found for most of the studied indicators. It was established that genotypic features were decisive in the overall variability of the number of seeds in 1 capsule (48.5%); Environmental conditions contributed to field germination of seeds (62.4%); genotype x environment interaction contributed to fiber mass (51.2%). According to AMMI analysis, the first three components were decisive in the structure of genotype-environment interaction of flax traits, accounting for 91.8-71.4% of the total variance. The following combinations were classified as stable (0 < ASV < 1): by duration of the growing season (G3, G4, G6); plant height (G1, G3, G7, G8, G9, G10, G12); stem mass (G1, G4, G5, G6, G7, G8); fiber mass (G1, G2, G4, G6, G9, G10, G11, G12); fiber content (G1, G2, G5, G6, G8); number of bolls (G1, G6, G7); the number of seeds in 1 capsule (G4, G9, G10, G12); soapiness (G6, G9, G10); taper (G1, G2, G12). In the fifth hybrid generation, the following combinations were selected: early maturing (G1, G11); tall (G1, G11); with a greater stem weight (G1, G11); fiber (G2, G6) and its content (G1, G10); the number of capsules (G1, G5) and seeds in them (G1, G4); soapiness (G5, G7); taper (G6, G8), which are valuable in selection in the conditions of the Tyumen region. The best sample is G1 (Yarok x Grant), characterized by stability in a complex of five technological indicators.

KEYWORDS

flax, variability, environmental factors, analysis of variance, ammi method, stability, selection

1. Adugna W., Labuschagne M. Parametric and nonparametric measures of phenotypic stability in linseed (Linum usitatissimum // Euphytica. 2003. Vol. 129. P. 211-218. EDN: https://elibrary.ru/BCIVBL

2. Zhuchenko A.A. Ekologo-geneticheskie osnovy adaptivnoy sistemy selekcii rasteniy // Sel'skohozyaystvennaya biologiya. 2000. №3. S. 3-29. EDN: https://elibrary.ru/VABITF

3. Kurt O., Evans G.M. Genetic basis of variation in linseed (Linum usitatissimum L.) cultivars // Journal of Agriculture and Forestry. 1998. Vol. 22. R. 373-379.

4. Genetic structure of cultivated flax (Linum usitatissimum L.) based on retrotransposon-based markers / H. Habibollahi, Z. Noormohammadi, M. Sheidai, F. Farahani // Genetika. 2015. Vol. 47(3). R. 1111-1122.

5. Genetic diversity analysis of a flax (Linum usitatissimum L.) global collection / A. Hoque, J.D. Fiedler, M. Rahman // BMC Genomics. 2020. Vol. 21. 557 (2020).

6. Vnutrividovoe raznoobrazie l'na kul'turnogo (Linum usitatissimum L.) i ego rol' v reshenii problemy sozdaniya otechestvennoy syr'evoy bazy / T.A. Rozhmina, A.I. Ryzhov, I.A. Kuzemkin, T.S. Kiseleva // Dostizheniya nauki i tehniki APK. 2017. T. 31. № 12. S. 17-20. EDN: https://elibrary.ru/YMEMUF

7. Ivanov S.A. Primenenie mnogokriterial'nogo metoda ocenki pri otbore gibridnogo materiala l'na-dolgunca na rannih etapah selekcii // Zemledelie i selekciya v Belarusi. 2020. №(56). S. 412-418. EDN: https://elibrary.ru/NXLUCR

8. Within and among-genetic variation in Asian flax Linum austriacum (Linaceae) in response to latitude changes: cytogenetic and molecular analyses / Z. Noormohammadi, T. Shafaf, F. Farahani [et al.] // Biodiversitas Journal of Biological Diversity. 2015. Vol. 16(2). P. 145-150.

9. Genotype and environment effects on sensory, nutritional and physical properties of chickpeas (Cicerius arietinum L.) // M.J. Kobos, I. Izquierdo, J. Maria Cobos [et al.] // Spanish Journal of Agricultural Research. 2016. Vol. 14. P e0709.

10. Morphological diversity and characterization of mash (Vigna radiant L. Wilczek) genotypes using identity, uniformity and stability descriptors / D.P. Joshi, L.D. Parmar, R. Kumar // Biological Forum-International Journal. 2022. Vol. 14(2). P 1102-1110.

11. Stability analysis of sunflower hybrids through non-parametric model / M. Rao, G. Lakshmikantha Reddy, R.S. Kulkarni [et al.] // Helia. 2004. Vol. 27. P. 59-66.

12. Tuteja O.P.Comparative studies on stability parameters and sustainability index for selecting stable genotypes in upland cotton (Gossypium hirsutum L.) // Journal of Genetics and Breeding. 2006. Vol. 66(3). P. 221-224.

13. Genetic diversity and genome size variability in Linum austriacum (Lineaceae) populations / M. Sheidai, F. Afshar, M. Keshavarzi [et al.] // Biochem Systems Ecology. 2014. Vol. 57. P. 20-26.

14. Tripathi V. Linseed and linseed oil: health benefits-a review / V. Tripathi, AB. Abidi, S. Markerb [et al.] // International Journal Pharm Biological Science. 2013. Vol. 3(3). P. 434-442.

15. Genetic Improvement and the Variability in Wheat Yields in the Great Plains / C.J. Peterson, V.A. Johnson, J.W. Schmidt [et al.] // Implications for Agricultural Research and Policy in Developing Countries, Baltimore: Johns Hopkins University Press, 1989. R.175-184.

16. H.B. Becker, J. Leon Stability Analysis in Plant Breeding // Plant Breeding, 1988. Vol. 101, P. 1-23.

17. Eberhart S.A, Russel W.A. Stability Parameters for Comparing Varieties // Crop Science.1966. № 6. P. 36-40.

18. Cultivar Evaluation and Mega-Environment Investigation Based on the GGE Biplot / W. Yan, L.A. Hunt, Q. Sheng, Z. Szlavnics // Crop Science. 2000. Vol. 40. P. 597-605. EDN: https://elibrary.ru/ATSQUB

19. Biplot Analysis of Genotype by Environment Interaction for Barley Yield in Iran / H. Dehghani, A Ebadi, A Yousefi // Agronomy Journal. 2006. Vol. 98. P. 388-393.

20. Genotype Environment Interaction in Maturity and Yield of Hybrid Maize (Zea mays L.) / M.Q.I. Matin, M.G. Rasul, A.K.M. Islam [et al.] // Journal of Agricultural Science. 2017. Vol. 2. P. 29-40.

21. Gedif M., Yigzaw D., Genotype by Environment Interaction Analysis for Tuber Yield of Potato (Solanum tuberosum L.) using a GGE Biplot Method in Amhara Region Ethiopia // Agricultural Sciences. 2014. Vol. 5. P. 239-249.

22. Sravnitel'naya ocenka parametrov ekologicheskoy stabil'nosti obrazcov l'na-dolgunca (Linum usitatissimum L.) v kollekcionnom pitomnike izucheniya, razlichayuschihsya po proishozhdeniyu / K.P. Korolev, V.Z. Bogdan, T.M. Bogdan // Agrarnyy vestnik Verhnevolzh'ya. 2015. № 4 (12). S. 18-21. EDN: https://elibrary.ru/VIUPUZ

23. Korolev K.P., Bome N.A. Ocenka genotipov l'na-dolgunca (Linum usitatissimum L.) po ekologicheskoy adaptivnosti i stabil'nosti v usloviyah severo-vostochnoy chasti Belarusi // Sel'skohozyaystvennaya biologiya. 2017. T. 52. № 3. S. 615-621. EDN: https://elibrary.ru/YZKVMH

24. Skrining sortoobrazcov l'na-dolgunca kollekcii VIR po urozhaynosti l'novolokna i parametram adaptivnosti v usloviyah Severo-Zapadnogo regiona / A.D. Stepin, M.N. Rysev, T.A. Ryseva [i dr.] // Agrarnaya nauka Evro-Severo-Vostoka. 2020. № 21(2). C. 141-151. EDN: https://elibrary.ru/AYBHKH

25. Rogash A.R., Dunaeva G.V. K voprosu o metodike gibridizacii l'na // Len i konoplya. 1969. № 6. S. 32-33.

26. Metodicheskie ukazaniya po izucheniyu kollekcii l'na (Linum usitatissimum L.) / V.Z. Bogdan [i dr.]. Ust'e: RNDUP "In-t l'na", 2011. 12 s.

27. Dospehov B.A. Metodika polevogo opyta (s osnovami statisticheskoy obrabotki rezul'tatov issledovaniy) // M.: KolosS. 2014. 351 s. EDN: https://elibrary.ru/QLCQEP

28. Statistical analysis of yield trial / R.W. Zobel, Wright J.M., J.H. Gauch //Agronomy Journal.1988. Vol. 80. P. 388-393.

29. Purchase J.L. Parametric analysis to describe genotype x environment interaction and yield stability in winter wheat / J.L. Purchase // South African Journal of Plant and Soil. 1997. Vol. 17. P. 101-107.

JATS XML

Editor-in-chief

Oksana Shumakova

responsible secretary

Elena Rodomazova

OT Other Indexing database

KOROLEV K.P.

Confirmation