Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/21092
Title: Effect of pulsed electromagnetic field on yield of grain, yield of protein and oil of soybean
Authors: Bajagić, Marija
Đukić, Vojin
Miladinov Mamlić, Zlatica
Sekulić, Jovana
Cvijanović, Vojin
Đurić, Nenad
Cvijanović, Gorica
Journal: Plant, Soil and Environment
Issue Date: 2023
Abstract: One of the latest environmentally friendly methods in soybean production technology is the pulsed electromagnetic field of low frequencies (PEMP). The paper presents the results of the influence of electromagnetic stimulation of soybean seeds on grain yield, protein and oil yield, depending on different agroclimatic conditions, exposure time and frequency. In the 2012–2017 research period, the soybean cv. Valjevka was used in the Institute of Field and Vegetable Agriculture experimental field, Novi Sad, Serbia. Immediately before sowing, the seeds were subjected to PEMP treatment, with a pulse generator and a tape applicator, in the following variants: electromagnetic field frequencies of 16, 24 and 30 Hz, and exposure time of 0, 30 and 60 min. The most successful variant of seed stimulation for all three examined parameters was at 16 Hz and 30 min, where the research results show that this measure can increase the examined parameters by more than 10%. The average yield of grain for all years of research with seed stimulation was 4.85% (3 338 kg/ha) compared to the control (3 203 kg/ha). The average grain protein yield in the treatments with PEMP was 1 315 kg/ha, which was 4.26% higher compared to the variant without PEMP (1 260 kg/ha), and the treatment was 4% higher in the average oil yield, 703 kg/ha compared to the control 676 kg/ha. Also, the analysis of the mutual dependence of the indicators is in a positive correlation, which is essential for plant breeding and the development of new technologies, which have economic justification, are safe for use and have a positive impact on adverse effects such as drought.
URI: https://scidar.kg.ac.rs/handle/123456789/21092
Type: article
DOI: 10.17221/336/2023-PSE
ISSN: 1805-9368
Appears in Collections:Institute for Information Technologies, Kragujevac

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