The ecological plasticity and stability of high-oleic sunflower varieties (Helianthus annuus L.) in terms of their major fatty acid content
DOI:
https://doi.org/10.21498/2518-1017.22.1.2026.357578Keywords:
sunflower varieties, fatty acid composition, effects of growing factors, adaptive capacity, statistical analysisAbstract
Purpose. To determine the role of varietal genetic characteristics, growing conditions, and their interaction in the formation of the fatty acid (FA) composition of oil, as well as to assess the adaptive capacity and stability of the synthesis of major fatty acids in high-oleic (HO) sunflower varieties. Methods. Biochemical (gas chromatography) and statistical methods (analysis of variance, correlation and regression analyses). Results. An assessment of the effects of soil and climatic growing conditions, as well as genotype, on the fatty acid (FA) composition of sunflower oil revealed that varietal affiliation was the most influential factor in determining variations in oleic and linoleic acid content, accounting for 66% of total variation. Weather conditions of the year contributed 11% to the variability of oleic acid content, while the interaction of factors “location × year” explained an additional 11%, highlighting the role of environmental variability in the realization of the genetic potential of the varieties. The highest ecological plasticity for oleic acid content was observed in the varieties ‘AM PRESTIGE’ and ‘P64GE233’, which combined high ecological plasticity coefficients (bᵢ) with low stability variance (Wᵢ), allowing them to be classified as intensive-type genotypes. For linoleic acid content, the varieties ‘AM KLP 25’, ‘IR Polysk’, and ‘IR Legat’ exhibited the greatest plasticity. The content of palmitic acid was largely determined by the genotype factor (64%) and the interaction “location × year”, whereas stearic acid content was predominantly influenced by weather conditions (79%). A strong negative correlation was identified between oleic and linoleic acid contents (r = –0.93; R² = 0.87). Conclusions. HO sunflower varieties are characterized by a high level of genetically determined stability of fatty acid composition, while simultaneously maintaining the ability to effectively realize their potential for enhanced oleic acid synthesis under favorable growing conditions. The assessment of ecological plasticity and stability revealed that the varieties ‘AM PRESTIGE’ and ‘P64GE233’ can be classified as intensive types with respect to oleic acid content, whereas the varieties ‘IR Polysk’, ‘AM KLP 25’, and ‘IR Legat’ demonstrated intensive responses for linoleic, palmitic, and stearic acid contents. The absence of extensive-type genotypes indicates stable expression of the HO phenotype across all studied varieties, regardless of growing conditions.
Downloads
References
Izquierdo, N. G., Dubinsky, E., González Belo, R., & Zambelli, A. D. (2024). Development and food applications of sunflower oils in Argentina. Helia. 2024. 47(80), 18–35. https://doi.org/10.29329/helia.2024.763.3
Mu, Y., Sun, Y., Wu, Y., Yi, L., Yu, H., & Zhang, S. (2025). Transcriptome analysis reveals metabolic pathways and key genes involved in oleic acid formation of sunflower (Helianthus annuus L.). International Journal of Molecular Sciences, 26(14), Article 6757. https://doi.org/10.3390/ijms26146757
Rauf, S., Jamil, N., Tariq, S. A., Khan, M., Kausar, M., & Kaya, Y. (2017). Progress in modification of sunflower oil to expand its industrial value. Journal of the Science of Food and Agriculture, 97(7), 1997–2006. https://doi.org/10.1002/jsfa.8214
Luo, X., Hu, B., Jia, C., Liu, R., Rong, J., Zhao, S., Niu, M., Xu, Y., Yin, T., & You, J. (2024). Study by means of 1H nuclear magnetic resonance of the oxidation process in high oleic sunflower oil and palm oil during deep-frying of fish cakes. Food Research International, 179, Article 113942. https://doi.org/10.1016/j.foodres.2024.113942
Dimitrijević, A., Imerovski, I., Miladinović, D., Cvejić, S., Jocić, S., Zeremski, T., & Sakač, Z. (2017). Oleic acid variation and marker-assisted detection of Pervenets mutation in high- and low-oleic sunflower cross. Crop Breeding and Applied Biotechnology, 17(3), 235–241. https://doi.org/10.1590/1984-70332017v17n3a36
Ghaffari, M., Gholizadeh, A., & Rauf, S. (2023). Dissection of genotype-by-environment interaction and stability analysis of major fatty acids in sunflower. Archives of Agronomy and Soil Science, 69(14), 3184–3200. https://doi.org/10.1080/03650340.2023.2210503
Debaeke, P., & Izquierdo, N. G. (2020). Sunflower. In Crop physiology: Case histories for major crops (3rd ed., pp. 482–517). Academic Press.
Alberio, C., Aguirrezábal, L. A., Izquierdo, N. G., Reid, R., Zuil, S., & Zambelli, A. (2018). Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations. Journal of the Science of Food and Agriculture, 98(11), 4074-4084. https://doi.org/10.1002/jsfa.8924
Afzal, O., Ahmed, M., Khattak, S. H., Aslam, M. A., Komal, S., Murtaza, M., Bashir, F., Ahmad, A., Mirbaz, A., Rasheed, H. U., Ali, G. M., Usman, M., Alwutayd, K. M., Al Aboud, N. M., Haider, I., Mazhar, S., & Gurbanova, L. (2025). Phenotypic plasticity of safflower genotypes in response to contrasting climatic conditions. Plant Molecular Biology Reporter, 43(4), 2272–2284. https://doi.org/10.1007/s11105-025-01608-z
Katsenios, N., Sparangis, P., Chanioti, S., Giannoglou, M., Leonidakis, D., Christopoulos, M. V., Katsaros, G., & Efthimiadou, A. (2021). Genotype × environment interaction of yield and grain quality traits of maize hybrids in Greece. Agronomy, 11(2), Article 357. https://doi.org/10.3390/agronomy11020357
Azrai, M., Aqil, M., Efendi, R., Andayani, N. N., Makkulawu, A. T., Iriany, R. N., Suarni, Yasin, M., Suwardi, Zainuddin, B., Salim, Sitaresmi, T., Bahtiar, Paesal, & Suwarno, W. B. (2023). A comparative study on single and multiple trait selections of equatorial grown maize hybrids. Frontiers in Sustainable Food Systems, 7, Article 1185102. https://doi.org/10.3389/fsufs.2023.1185102
Prysiazhniuk, L., Topchii, O., Kyienko, Z., Tkachyk, S., & Melnyk, S. (2021). The ecological adaptation of new spring canola varieties in different environmental conditions. Agronomy Research, 19(S2), 1124–1135. https://doi.org/10.15159/AR.21.060
Thouraya, A., Sghaier, T., & Ammari, Y. (2024). Deciphering of genotype-by-environment interaction using different statistical methods of walnut genotypes (Version 1) [Preprint]. Research Square. https://doi.org/10.21203/rs.3.rs-3932025/v1
Methodology for Conducting the Qualification Examination of Plant Varieties for Suitability for Distribution in Ukraine. Methods for Determining Quality Indicators of Crop Production. https://sops.gov.ua/uploads/page/metodiki/MetodRosl_2023.pdf
Prysiazhniuk, L., Honcharov, Y., & Korol, L. (2022). The Impact of Allelic State of dhn1 and rsp41 Genes on Grain Moisture Content of Maize Hybrids Within Marker Assisted Selection (MAS) for Drought Resistance. In Lecture Notes in Civil Engineering (pp. 253–264). Springer International Publishing. https://doi.org/10.1007/978-3-031-13090-8_26
Ibrahim, N., & Abdullahi, A. B. (2023). Analysis of variance (ANOVA) Randomized Block Design (RBD) to test the variability of three different types of fertilizers (NPK, UREA and SSP) on millet production. African Journal of Agricultural Science and Food Research, 9(1), 1–10.
Montgomery, D. C., Peck, E. A., & Vining, G. G. (2012). Introduction to linear regression analysis (5th ed.). John Wiley & Sons.
Sokal, R. R., & Rohlf, F. J. (2012). Biometry: The principles and practice of statistics in biological research (4th ed.). W. H. Freeman and Company.
de la Mata, R., Zas, R., Bustingorri, G., Sampedro, L., Rust, M., Hernandez‐Serrano, A., & Sala, A. (2022). Drivers of population differentiation in phenotypic plasticity in a temperate conifer: A 27‐year study. Evolutionary Applications, 15(11), 1945–1962. https://doi.org/10.1111/eva.13492
Zhou, F., Liu, Y., Wang, W., Wu, L., Yuan, H., Liu, X., Ma, J., Wang, J., Yao, Y., Zhang, L., & Huang, X. (2022). Comparative transcriptomic analyses of high and low oleic acid content sunflower (Helianthus annuus L.) seed development. Pakistan Journal of Botany, 54(6). https://doi.org/10.30848/pjb2022-6(16)
Puttha, R., Venkatachalam, K., Hanpakdeesakul, S., Wongsa, J., Parametthanuwat, T., Srean, P., Pakeechai, K., & Charoenphun, N. (2023). Exploring the Potential of Sunflowers: Agronomy, Applications, and Opportunities within Bio-Circular-Green Economy. Horticulturae, 9(10), Article 1079. https://doi.org/10.3390/horticulturae9101079
Joksimović, J., Atlagić, J., Marinković, R., & Jovanović, D. (2006). Genetic control of oleic and linoleic, d acid contents in sunflower. Helia, 29(44), 33–40. https://doi.org/10.2298/hel0644033j
Talebi, S. M., Darbandi, N., Naziri, F., & Matsyura, A. (2024). Seed morphometry and fatty acid profile in oilseed and non-oilseed sunflower cultivars. Biochemical Systematics and Ecology, 113, Article 104805. https://doi.org/10.1016/j.bse.2024.104805
Ghaffari, M., Gholizadeh, A., Rauf, S., & Shariati, F. (2023). Drought‐stress induced changes of fatty acid composition affecting sunflower grain yield and oil quality. Food Science & Nutrition, 11(12), 7718–7731. https://doi.org/10.1002/fsn3.3690
Hosni, T., Abbes, Z., Abaza, L., Medimagh, S., Ben Salah, H., & Kharrat, M. (2022). Biochemical characterization of seed oil of Tunisian sunflower (Helianthus annuus L.) accessions with special reference to its fatty acid composition and oil content. Journal of Food Quality, 2022(1), Article 2875072. https://doi.org/10.1155/2022/2875072
Hanafy, R. S., & Sadak, M. S. (2023). Foliar spray of stigmasterol regulates physiological processes and antioxidant mechanisms to improve yield and quality of sunflower under drought stress. Journal of Soil Science and Plant Nutrition, 23(2), 2433–2450. https://doi.org/10.1007/s42729-023-01197-4
Salas, J. J., Martínez-Force, E., Harwood, J. L., Venegas-Calerón, M., Aznar-Moreno, J. A., Moreno-Pérez, A. J., Ruíz-López, N., Serrano-Vega, M. J., Graham, I. A., Mullen, R. T., & Garcés, R. (2014). Biochemistry of high stearic sunflower, a new source of saturated fats. Progress in Lipid Research, 55, 30–42. https://doi.org/10.1016/j.plipres.2014.05.001
Popa, M., Anton, G., Rîșnoveanu, L., Petcu, E, & Băbeanu, N. (2017). The effect of planting date and climatic condition on oil content and fatty acid composition in some Romanian sunflower hybrids. AgroLife Scientific Journal, 6(1), 212–217.
Ghaffari, M., & Shariati, F. (2023). Genetic analysis of sunflower fatty acids under optimum and water stressed conditions. Helia, 46(78), 123–142. https://doi.org/10.1515/helia-2023-0006
Wang, L., Wang, L., Tan, M., Yu, H., Wang, J., Li, Y., Wang, W., Yan, X., & Wang, L. (2022). Rapid identification and preliminary evaluation of quality characters of oilseed sunflower by near infrared spectroscopy. Oil Crop Science, 7(3), 142–148. https://doi.org/10.1515/helia-2023-0006
Zapletalová, A., Ernst, D., & Černý, I. (2023). Effect of growing factors on production and fatty acid composition of sunflower schenes. Acta Fytotechnica et Zootechnica, 26(3), 305–313. https://doi.org/10.15414/afz.2023.26.03.305-313
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 L. M. Prysiazhniuk, A. M. Kyrylchuk, I. V. Smulska, S. M. Hryniv, L. V. Korol, N. V. Pavliuk, S. I. Melnyk, T. V. Dudka

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Starting in 2022, the copyright to the publication remains with the authors
Our journal abides by the CREATIVE COMMONS copyright rights and permissions for open access journals.
Authors, who are published in this journal, agree to the following conditions:
- The authors reserve the right to authorship of the work and pass the first publication right of this work to the journal under the terms of a Creative Commons Attribution License, which allows others to freely distribute the published research with the obligatory reference to the authors of the original work and the first publication of the work in this journal.
- The authors have the right to conclude separate supplement agreements that relate to non-exclusive work distribution in the form in which it has been published by the journal (for example, to upload the work to the online storage of the journal or publish it as part of a monograph), provided that the reference to the first publication of the work in this journal is included.




















Ukrainian Institute for Plant Varieties Examination 
Institute of Plant Physiology and Genetics of the National Academy of Sciences of Ukraine
The National Academy of Agrarian Sciences of Ukraine