MODELING THE IMPACT OF MOISTURE ON THE UPTAKE OF BIOGENIC ELEMENTS BY SPRING BARLEY PLANTSIN THE CONDITIONS OF SOUTHERN UKRAINE
The uptake of biogenic elements by spring barley (Hordeum vulgare L.) is significantly influenced by soil moisture, particularly in the arid conditions of Southern Ukraine. Water availability plays a critical role in the solubility of nutrients, their mobility, and the efficiency of root system uptake. Insufficient moisture reduces nutrient availability, disrupts metabolic processes, and negatively affects plant growth and productivity. Understanding the complex relationship between soil moisture content and nutrient uptake is essential for optimizing agronomic practices and improving crop yields in drought-prone regions. This study focuses on modeling the dependence of biogenic element uptake on soil moisture levels. Mathematical modeling enables a quantitative assessment of how moisture variations affect the dynamics of nutrient assimilation. By analyzing field data and employing predictive algorithms, it is possible to determine critical moisture thresholds necessary for efficient nutrient uptake. Such models assist in optimizing irrigation strategies, ensuring sufficient water availability while preventing nutrient leaching and soil degradation. The development of adaptive agronomic technologies based on modeling the interaction between moisture and nutrients is crucial for sustainable agriculture in Southern Ukraine. The use of precision irrigation systems, soil moisture monitoring techniques, and advanced fertilization technologies can enhance the resilience of spring barley to climatic fluctuations. Additionally, the introduction of drought-resistant barley varieties and soil conservation measures can improve nutrient use efficiency and crop yield stability. As a result of the modeling, it was concluded that with an increase in soil moisture to the values of the lowest moisture capacity (within 80%), the rate of absorption of biogenic elements by spring barley plants under the study conditions increases by an average of two times.
Authors
- Pavlo Nikitin (ORCID: https://orcid.org/0009-0004-5755-4116)
- Valentina Ilina (ORCID: https://orcid.org/0000-0001-5781-701X)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.46793/girr25.140n
- Primary Topic
- Agriculture and Biological Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00