Scientific Reports of the National University of Life and Environmental Sciences of Ukraine

Development of soybean yield and seed productivity elements depending on the variety

Serhii Pylypenko, Hanna Kovalyshyna
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Abstract

In the context of global climate change and the food crisis, soybeans (Glycine max) requires optimisation of the genetic potential to ensure stable and high productivity through the identification of genotypes with high adaptability in specific soil and climatic conditions, in particular the forest-steppe of Ukraine. The purpose of the study was to investigate the influence of varietal characteristics on the development of key morphological and productive features of soybeans and assess its compensatory ability during two years of research. The study was conducted during 2024-2025 using field, biometric, and correlation analyses to estimate plant height, the number of pods per plant, the number of branches, and the weight of 1,000 seeds. A high varietal dependence of all studied traits has been established, which emphasises the decisive importance of the genotype. A strong negative correlation was found between plant height and the number of pods per plant (r = -0.897), which indicates a negative effect of excessive vegetative growth on generative productivity due to a violation of the balance of sources and drains. It was confirmed that the intensity of branching had only a weak effect on crop development. The mechanism of compensatory ability during the years of research (phenotypic plasticity) was revealed: a decrease in the number of pods under unfavourable conditions led to a compensatory increase in the weight of 1,000 seeds. Among the samples studied, the varieties ‘ES Mentor’, ‘Antracit’ and ‘Muza’ had the most balanced combination of high seed productivity, seed quality, and satisfactory attachment height of the lower pods. The results of the study provide important information for optimising the varietal composition in the region, and also serve as a basis for breeding work aimed at adapting soybeans and improving the efficiency of fruit setting in the forest-steppe zone.

Keywords

genotype, morphological features, compensatory ability, vegetative growth, correlation analysis

Suggested citation
Pylypenko, S., & Kovalyshyna, H. (2026). Development of soybean yield and seed productivity elements depending on the variety. Scientific Reports of the National University of Life and Environmental Sciences of Ukraine, 22(1),9-21. https://doi.org/10.31548/dopovidi/1.2026.09
References
  1. Assfaw, A.T., Bunmi, O., Paterne, A., Chigeza, G., Mushoriwa, H., Fowobaje, K., & Abebe, A.T. (2025). Genetic diversity and population structure analysis of soybean [Glycine max (L.) Merrill] genotypes based on agro-morphological traits and SNP markers. PLoS One, 20(10), article number e0332895. doi: 10.1371/journal.pone.0332895.
  2. Berhanu, H., Tesso, B., & Lule, D. (2021). Correlation and path coefficient analysis for seed yield and yield related traits in soybean (Glycine max (L.)) genotypes. Plant, 9(4), 106-110. doi: 10.11648/j.plant.20210904.15.
  3. Chandler, J. (2025). North Carolina soybean production guide. Retrieved from https://content.ces.ncsu.edu/show_ep3_pdf/1762418330/23815/.
  4. Chinnarat, J., Monkham, T., Sanitchon, J., & Chankaew, S. (2025). Breeding black soybeans for high yield and first pod height is a promising approach to improving thai commercial soybean varieties. Agronomy, 15(3), article number 600. doi: 10.3390/agronomy15030600.
  5. Convention on Biological Diversity. (1992, June). Retrieved from https://zakon.rada.gov.ua/laws/show/995_030#Text.
  6. Convention on the Trade in Endangered Species of Wild Fauna and Flora. (1973, June). Retrieved from https://zakon.rada.gov.ua/laws/show/995_129#Text.
  7. Evangelista, J.S.P.C., Alves, R.S., Peixoto, M.A., de Resende, M.D.V., Teodoro, P.E., da Silva, F.L., & Bhering, L.L. (2021). Soybean productivity, stability, and adaptability through mixed model methodology. Ciência Rural, 51(2), article number e20200406. doi: 10.1590/0103-8478cr20200406.
  8. Gai, Y., et al. (2025). Integrative approaches to soybean resilience, productivity, and utility: A review of genomics, computational modeling, and economic viability. Plants, 14(5), article number 671. doi: 10.3390/plants14050671.
  9. Havryliuk, I., & Kovalyshyna, H. (2024). Characteristics of soft winter wheat varieties by crop structure and grain quality indicators. Ukrainian Black Sea Region Agrarian Science, 28(4), 68-84. doi: 10.56407/bs.agrarian/4.2024.68.
  10. Junior, A.A.B., de Oliveira, M.C.N., Zucareli, C., Ferreira, A.S., Werner, F., & de Aguiar e Silva, M.A. (2018). Analysis of phenotypic plasticity in indeterminate soybean cultivars under different row spacing. Australian Journal of Crop Science, 12(4), 648-654.
  11. Karyawati, A.S., Larasati, A., Ghina, S., Sumarsono, S., & Ula, V.M. (2025). Quantitative analysis of morphometric traits affecting yield performance in diverse soybean lines (Glycine max L. Merr). Cogent Food & Agriculture, 11(1), article number 2514580. doi: 10.1080/23311932.2025.2514580.
  12. Kiriziy, D.A., & Stasik, O.O. (2022). Effects of drought and high temperature on physiological and biochemical processes, and productivity of plants nanochelates. Plant Physiology and Genetics, 54(2), 95-122. doi: 10.15407/frg2022.02.095.
  13. Li, N., Yuan, X., Han, B., Guo, W., & Chen, H. (2025). CRISPR/Cas-mediated optimization of soybean shoot architecture for enhanced yield. International Journal of Molecular Sciences, 26(16), article number 7925. doi: 10.3390/ijms26167925.
  14. Li, W., Wang, L., Xue, H., Zhang, M., Song, H., Qin, M., & Dong, Q. (2024). Molecular and genetic basis of plant architecture in soybean. Frontiers in Plant Science, 15, article number 1477616. doi: 10.3389/fpls.2024.1477616.
  15. Mazur, O., Kupchuk, I., Biliavska, L., Biliavsky, Y., Voloshyna, O., Mazur, O., & Razanov, S. (2023). Ecological plasticity and stability of soybean varieties under climate change in Ukraine. Acta Fytotechnica et Zootechnica, 26(4), 398-411. doi: 10.15414/afz.2023.26.04.398-411.
  16. Mazurenko, B., et al. (2025). Biostimulants-induced improvements in pea-barley intercropping systems: A study of biomass and yield optimization under Ukrainian climatic conditions. Journal of Agriculture and Food Research, 22, article number 102074. doi: 10.1016/j.jafr.2025.102074.
  17. Ran, X., Zhou, J., Mao, T., Wu, S., Wu, Q., Chen, G., & Zhai, Y. (2023). The effect of plant and row configuration on the growth and yield of multiple cropping of soybeans in southern Xinjiang, China. Sustainability, 15(19), article number 14608. doi: 10.3390/su151914608.
  18. Rani, R., Raza, G., Ashfaq, H., Rizwan, M., Razzaq, M.K., Waheed, M.Q., Hussein, S., Ditta, B.A., & Arif, M. (2023b). Genome-wide association study of soybean (Glycine max [L.] Merr.) germplasm for dissecting the quantitative trait nucleotides and candidate genes underlying yield-related traits. Frontiers in Plant Science, 14, article number 1229495. doi: 10.3389/fpls.2023.1229495.
  19. Rani, R., Raza, G., Ashfaq, H., Rizwan, M., Shimelis, H., Tung, M.H., & Arif, M. (2023a). Analysis of genotype× environment interactions for agronomic traits of soybean (Glycine max [L.] Merr.) using association mapping. Frontiers in Genetics, 13, article number 1090994. doi: 10.3389/fgene.2022.1090994.
  20. Rybalchenko, A.M., & Chub, Ye.V. (2021). Influence of varietal characteristics on the formation of soybean seed productivity. In Development of education, science and business: Proceedings of the 2021 international scientific and practical online conference (p. 131). Dnipro: IE V.V. Marenichenko.
  21. Srivastava, S., Singh, P., Tyagi, A., Srivastava, A. (2025). Multivariate analysis of yield-contributing traits in soybean (Glycine max (L.) Merrill.): Insights from correlation and principal component approaches. The Bioscan, 20(2), 954-957. doi: 10.63001/tbs.2025.v20.i02.S2.pp954-957.
  22. Yang, Q., Lin, G., Lv, H., Wang, C., Yang, Y., & Liao, H. (2021). Environmental and genetic regulation of plant height in soybean. BMC Plant Biology, 21(1), article number 63. doi: 10.1186/s12870-021-02836-7.