A. I. Yakubovskaya1, Ya. V. Pukhalskiy2 , N. I. Vorobyev3 , I. A. Kameneva1 , M. V. Gritchin1 , A. Yu. Egovtseva1
1 Scientific Research Institute of Agriculture of Crimea, Simferopol, Russia
2 Pushkin Leningrad State University, Saint Petersburg, Pushkin, Russia
3 All-Russian Research Institute of Agricultural Microbiology, Saint Petersburg, Pushkin, Russia
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Volume 25 No. 4
Date of paper submission: 27.09.2024, date of review: 02.12.2024, date of acceptance: 14.02.2025
Published: 04/30/2025
Abstract. One of the factors of effective functioning of plant-microbial biosystem is bioconsolidation of microorganisms around the general strategy of interaction with plants, in which special fractal ratios of numbers of rhizosphere microorganisms are established. The purpose of the study is to analyze the dependence of the level of bioconsolidation of soil microorganisms during the periods of tillering, flowering and ripening of rice plants on the introduction of associative strains. The level of bioconsolidation of soil microorganisms calculated by the NONN neural network is a measure of comparison of experimental variants and selection of the variant in which the microbiological preparation initiated the highest intensity of mass accumulative biochemical processes in rice plants in all phases of plant ontogenesis. The quantitative indicators of the main ecological-trophic groups of rhizosphere microorganisms, catalase, coefficients characterizing the direction of nitrogen mineralization processes, and rice grain yield were the object of research. The experiments were set up, soil samples were collected from the rhizosphere, microbiological and biochemical analyses were performed, and the yield was recorded using conventional methods. The CSI index, which characterizes the bioconsolidation of microorganisms in the rhizosphere in our studies, was calculated using the NONN neural network using an algorithm that includes 8 stages of data transformation. Results. It was found that Agrobacterium tumefaciens, from the studied inoculants, stimulates bioconsolidation of soil microflora in the rhizosphere, intensifies mass accumulative processes in plants and increases crop yield. The NONN neural network has proposed a mixture of Agrobacterium tumefaciens 32-3 and Flavobacterium sp. 72 strains, which can increase the effect of pre-sowing bacterization of seeds by increasing the yield of rice plants. Scientific novelty. For the first time, information on the bio-consolidation of soil microorganisms under the action of an inoculant has been extracted using the latest neural network information technology, which made it possible to identify bacteria for the pre-sowing treatment of rice seeds that ensure the effectiveness of microbial-plant interaction (increased yield).
Keywords: fractal profile and bioconsolidation index of soil microorganisms, microbiological preparations, computational neural network
Acknowledgements. The research was carried out within the framework of the state assignment of the Ministry of Education and Science of the Russian Federation FNZW-2022-0005 “Functional features of plant-microbial interaction in managing stress resistance, productivity of agrophytocenoses and realizing the potential of new generation microbial preparations.”
For citation: Yakubovskaya A. I., Pukhalskiy Ya. V., Vorobyev N. I., Kameneva I. A., Gritchin M. V., Egovtseva A. Yu. Assessment of microbial-plant interactions in the Oriza sativa L. biosystem (seeded rice). Agrarian Bulletin of the Urals. 2025; 25 (04): 564‒575. https://doi.org/10.32417/1997-4868-2025-25-04-564-575 (In Russ.)
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