Dependence of the yield of stems of varieties of technical hemp on the influence of seed sowing rates under the narrow-row method of sowing
Keywords:
options, row width, factor, homogeneous groups.
Abstract
Goal. To investigate the effectiveness of seed sowing rates in terms of the effect on the yield of technical hemp stem production in the process of culture cultivation technology. Methods. Field, laboratory. Factors of influence which were involved in field research: factor A — seed sowing rates, options — 1.2; 1.8; 2.4; 3.0; 3.6 million seeds/ha; factor B — YuSO-31, Hliana, Hlesiya varieties of technical hemp of the Institute of Bask Cultures of NAAS. The width between the rows of the experimental crops was 15 cm. The placement of the plots of technical hemp was systematized in storeys. The number of repetitions was 4 times. The yield of the stems was determined by direct harvesting in sub-divisions. To process the obtained experimental data, statistical-mathematical analysis was used, as well as dispersion and correlation-regression analysis at the level of reliable probability P0.95. Results. The effectiveness of seed sowing rates as a factor of a technological nature in terms of the effect on the yield of technical hemp stems was established. Conclusions. It was determined that the impact of seed sowing rates for their increase within options 1,2; 1.8; 2.4; 3.0 million seeds/ha on the yield of hemp stems of technical varieties YuCO-31, Hliana, and Hlesiya was less effective. With an increase in the seed sowing rate from 1.2 to 1.8 million seeds/ha; from 1.8 to 2.4; from 2.4 to 3.0 million units/ha, a significant increase in the yield of stems of all varieties was observed with a gradual decrease in the influence of the specified technological factor. In the following comparison of yield indicators for sowing rates of 3.0 and 3.6 million seeds/ha, no significant differences in the obtained results of stem yield were found. The dependence of the result sign on the specified influencing factor is characterized by a strong correlation.
Published
2023-02-15
Section
Articles

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