Issue |
BIO Web Conf.
Volume 114, 2024
International Conference on Agricultural, Biodiversity and Environmental Economics (ICABEE 2024)
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Article Number | 01016 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/bioconf/202411401016 | |
Published online | 20 June 2024 |
The cost recovery in the cultivation of different sunflower seed hybrids
1 National University of Life and Environmental Sciences of Ukraine, 15, Heroyiv Oborony St., Kyiv, 03041, Ukraine
2 Poltava State Agrarian University, 1/3, Skovorody St., Poltava, 36003, Ukraine
* Corresponding author: ya1971@ukr.net
Ensuring cost recovery and success in competition requires a flexible system of regulating the factors that determine it. In our opinion, one of the main such factors is the cost of seeds. It has been proven that the selection of the best hybrid in terms of productivity plays an important role in obtaining a high yield of sunflowers, as hybrids provide an increase in yield and even in excessively dry years, high yields of sunflowers can be obtained. The purpose of the research is to identify the dependence of yield on the costs of sunflower seeds and to increase their profitability by selecting the most effective hybrids. The work uses: monographic, comparative, statistical, tabular, graphic, abstract-logical methods and the method of correlation-regression analysis. It has been established that an economically beneficial factor in increasing crop yield for any cultivation technology is the quality composition of the used varietal resources. It was found that the best results in the enterprises of the Forest-Steppe zone are ensured by the use of hybrids. Thus, the highest rates of return on costs were obtained by hybrids NK Neoma and NK Kondi. The use of correlation-regression analysis allows determining the dependence of productivity on seed costs in the context of the use of hybrids that provide high return on costs.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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