Received 30.07.2024
Revised 18.10.2024
Accepted 10.12.2024
Retrieved from Volume 28, No. 4, 2024
Pages 68 -84
Abstract
The purpose of the study was to investigate the collection of soft winter wheat varieties selected by four research institutions of Ukraine, covering Steppe and Forest-Steppe soil and climatic zones. As a result of the study, indicators of the yield structure and grain quality of 53 varieties of soft winter wheat were analysed. The obtained data allowed assessing the stability of productivity elements and identifying varieties with high indicators for further use in breeding. Based on the results obtained, tables and graphs were compiled that reflect the difference in structural indicators between varieties over the years of research, and an estimate of the frequency of distribution of such parameters as: the length of the ear rod, the weight of the ear, the number of spikelets per ear, the number of grains in the ear, the weight of grains from the ear, and the weight of 1,000 grains. Statistical analysis using ANOVA and construction of confidence intervals (significance level of 0.05) confirmed significant differences between varieties in terms of the indicators under study, which helped to identify varieties with high stability of grain yield and quality. When using correlation analysis, relationships between structural indicators were established. Special attention was paid to homeostatic varieties that showed high indicators during 2021/2022-2023/2024 studies, namely: the length of the ear rod, the number of spikelets per ear, and the weight of 1,000 grains, which are key breeding indicators to increase yields. Such indicators were determined by the specificity of genotypes, environmental conditions, and their interaction. After calculating the regression coefficient, varieties with a high level of adaptability were determined. The best varieties in terms of the parameters under study were recommended for further use in breeding programmes aimed at increasing productivity and improving the quality of soft winter wheat grain in the context of climate change
Keywords:
weight of 1,000 grains; grain quality; protein; gluten; correlation; adaptability; homeostatic[1] Burdeniuk-Tarasevych, L., & Lozinskyi, M. (2013). Formation of the main ear length in winter wheat lines of various ecological and geographical origins. Agrobiology, 11(104), 30-34.
[2] Chernobai, Yu. (2023). Characterisation of newly developed soft winter wheat lines for valuable agronomic traits. Genetic Resources of Plants, 33, 22-30.
[3] Convention on Biological Diversity. (1992, June). Retrieved from https://zakon.rada.gov.ua/laws/show/995_030#Text.
[4] 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.
[5] DSTU 3768:2019. (2019). Wheat. Technical specifications. Retrieved from https://online.budstandart.com/ua/catalog/doc-page.html?id_doc=82765.
[6] Ebrahimnejad, S., & Rameeh, V. (2016). Correlation and factor analysis of grain yield and some important component characters in spring bread wheat genotypes. Agronomical Research in Moldavia, 49(1), 5-15. doi: 10.1515/cerce-2016-0001.
[7] Ficiciyan, A., Loos, J., Sievers-Glotzbach, S., & Tscharntke, T. (2018). More than yield: Ecosystem services of traditional versus modern crop varieties revisited. Sustainability, 10(8), article number 2834. doi: 10.3390/su10082834.
[8] Guo, Z., Zhao, Y., Röder, M.S., Reif, J.C., Ganal, M.W., Chen, D., & Schnurbusch, T. (2018). Manipulation and prediction of spike morphology traits for the improvement of grain yield in wheat. Scientific Reports, 8(1), article number 14435. doi: 10.1038/s41598-018-31977-3.
[9] Helguera, M., et al. (2020). Grain quality in breeding. In Wheat quality for improving processing and human health (pp. 273-307). Cham: Springer. doi: 10.1007/978-3-030-34163-3_12.
[10] Khan, H. (2019). Genetic improvement for end-use quality in wheat. In Quality breeding in field crops (pp. 239-253). Cham: Springer. doi: 10.1007/978-3-030-04609-5_12.
[11] Khudolii, L. (2019). Morphophysiological features of winter wheat productivity formation depending on cultivation technology. Plant Varieties Studying and Protection, 15(3), 303-312.
[12] Kyienko, Z., Prysiazhniuk, L., Shovhun, O., Ivanytska, A., & Pavliuk, N. (2017). Methodology for conducting qualification examination of plant varieties for distribution suitability in Ukraine. General part (3rd ed.). Vinnytsia: IE D.Yu. Korzun.
[13] Kyrylchuk, A., & Kovalchuk, S. (2021). Breeding for quantitative and qualitative traits of winter wheat (Triticum aestivum L.). Expanding the genetic diversity of cultivated wheat. Agroecological Journal, 2, 140-148. doi: 10.33730/2077-4893.2.2021.234474.
[14] Lotysh, O., & Kardash, A. (2021). Microeconomic analysis of the global grain market. Economy and Society, 24. doi: 10.32782/2524-0072/2021-24-29.
[15] Lozinskiy, M., et al. (2021). Evaluation of selected soft winter wheat lines for main ear grain weight. Agronomy Research, 19(2), 540-551. doi: 10.15159/AR.21.071.
[16] Lykhochvor, V. (1999). Yield structure of winter wheat. Lviv: Ukrainian Technologies.
[17] Lytus, M., & Starychenko, V. (2018). Differentiation of soft winter wheat samples by the number of spikelets per spike. Myronivka Bulletin, 7, 68-76.
[18] Lytvynenko, M., Lyfenko, S., & Yeryniak, M. (2013). Winter wheat varieties of steppe ecotype undergo extreme weather conditions better. Seed Production, 9, 14-18.
[19] Morgun, V., Sichkar, S., Pochynok, V., Holik, O., & Chuhunkova, T. (2015). Analysis of the productivity structure of collection samples of rare wheat species. Factors of Experimental Evolution of Organisms, 16, 136-140.
[20] Polyovyi, A., Bozhko, L., Barsukova, O., & Kostyukevych, T. (2022). The impact of climate warming on the productivity of eggplant and sweet pepper in the Steppe zone of Ukraine. Bulletin of Poltava State Agrarian Academy, 1(104), 29-37.
[21] Prysiazhniuk, L., Khomenko, T., Liashenko, S., & Melnyk, S. (2022). Productivity indicators of new winter soft wheat (Triticum aestivum L.) varieties depending on cultivation factors. Plant Varieties Studying and Protection, 18(4), 273-282. doi: 10.21498/2518-1017.18.4.2022.273989.
[22] Shpakovych, I., & Kovalyshyna, H. (2023). Wild species of the genus aegilops as sources of valuable traits for winter wheat breeding. In Proceedings of the international scientific and practical conference: Food and environmental security in the conditions of war and post-war recovery: Challenges for Ukraine and the world (pp. 123-126). Kyiv: National University of Life and Environmental Sciences of Ukraine.
[23] Shtakal, M., Holyk, L., Levchenko, O., Shpakovych, I., & Ivashchenko, S. (2022). Evaluation of winter wheat varieties and lines for stable yield and adaptability under climate change in the Forest-Steppe zone. Bulletin of Agricultural Science, 100(3), 62-69. doi: 10.31073/agrovisnyk202203-08.