A. V. Velikiy
Federal Research Centre the Subtropical Scientific Centre of the Russian Academy of Sciences, Sochi, Russia
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Volume 25 No. 6
Date of paper submission: 20.02.2025, date of review: 20.03.2025, date of acceptance: 03.04.2025.
Published: 06/30/2025
Abstract. The aim of the study was to predict the yield trends of green tea leaves on the Black Sea coast of Russia under various meteorological conditions in relation to the types of micro fertilizers. Methods and methodology: descriptive statistics methods in Microsoft Excel (at P = 0.95) were used to process the field data obtained over a long period of experience and build tea leaf yield models. Results and scope of application: using the equations, it was found that in many cases the temperature coefficient is a deterrent factor in harvesting, only for high-yielding variants boron, calcium and zinc in the equations of annual data it plays a stimulating role and is added. The coefficient of moisture availability is added to all the equations obtained, which indicates the positive role of water regardless of the conditions of the year (favorable, unfavorable (arid)). Both versions of the equations showed that the weakest options are control and magnesium, and they often have the lowest coefficients, which may indicate their negative impact on the growth and development of tea plants, especially during various stressful periods. The accuracy of the yield equations in both variants was at a high level, in some periods the error was 4.7–6.2 % for annual data, and about 2.0 % for the leaf collection period. The scientific novelty of the study lies in the fact that the revealed patterns of tea leaf yield formation under various meteorological conditions, in conjunction with the types of micro-fertilizers, will not only improve the harvesting process, but also optimize the mineral nutrition system.
Keywords: tea, yield model, crop forecasting, microelements
Acknowledgments. The study was funded by state assignment research of FRC SSC RAS FGRW-2024-0001 project No. 124022000098-6.
For citation: Velikiy A. V. Forecasting tea yield trends on the Black Sea coast of Russia under various meteorological conditions in relation to the types of micro fertilizers. Agrarian Bulletin of the Urals. 2025; 25 (06): 842‒852. https://doi.org/10.32417/1997-4868-2025-25-06-842-852 (In Russ.)
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