THE ROLE OF PLANT GROWTH REGULATORS IN SOYBEAN CULTIVATION
2024
Belopukhov S.L. | Seregina I.I. | Osmani M.H. | Farhad M.
It is known that plant growth regulators play an important role in stimulating growth functions and shaping the yield of agricultural crops. Soybean is one of the promising agricultural crops in various countries. However, little research has been conducted on the role of plant growth regulators in soybean under different growing conditions. The purpose of the study was to study the influence of growth regulators on the formation of elements and the amount of yield, as well as on the quality indicators of soybean seeds when grown in Afghanistan.Research methodology. Studies have examined various doses of gibberellin in soybeans. The object of research was soybean (Glycine max L.) of the early variety Stine 3400/2. The growth regulator Gibberellin was used in the studies. The growth regulator was used by treating seeds with different concentrations of a biological product solution at the rate of 25, 50 and 75 ml per 100 kg of seeds. The control was the option without the use of a growth regulator. The research was conducted at the agricultural experimental plot of Kabul University between April 2021 and September 2023. Experimental plots were placed in a randomized complete block design with three replications. Statistical processing of research results was carried out using software (ANOVA) and using the analysis of variance method.Research result. Studies have shown that the use of a growth regulator contributed to increasing the yield of soybean plants and obtaining seeds of the best quality. The greatest effectiveness of the drug was manifested in the variant where the seeds were treated with gibberellin at the rate of 50 ml per 100 kg of seeds. The maximum plant yield (1.32 t/ha) and seeds with the highest oil and protein content were obtained. Under these growing conditions, seeds of the best quality and with the highest oil (12.4%) and protein (42.7%) content were obtained. The result of statistical processing using ANOVA and using the analysis of variance method confirmed the reliability of the results obtained.
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