International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies


:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

ISSN 2228-9860
eISSN 1906-9642



  • Neural Network Fractal Model to Evaluate the Effectiveness of Antimicrobial Feed Additives in Egg Poultry Farming

    Ivan Kochish (Department of Animal Hygiene and Poultry named after A.K. Danilova, Moscow state Academy of Veterinary Medicine and Biotechnology - MVA by K.I. Skryabin, Moscow, RUSSIA),
    Nikolay Vorobyov (Group of Informatics and Mathematical Modeling, All-Russia Research Institute for Agricultural Microbiology, Pushkin, RUSSIA),
    Ilya Nikonov, Marina Selina (Department of Animal Hygiene and Poultry named after A.K. Danilova, Moscow state Academy of Veterinary Medicine and Biotechnology - MVA by K.I. Skryabin, Moscow, RUSSIA).

    Discipline: Bacteriology.

    ➤ FullText

    doi: 10.14456/ITJEMAST.2022.250

    Keywords: Antimicrobial additive; Probiotic; Prebiotic; Cross "Hisex Brown"; Frequency-taxonomic profiles of the microbiota; Bioconsolidation indices

    The study aimed to develop an artificial neural network fractal model for the quantitative assessment of bioconsolidation indices characterizing the degree of self-organization of the laying hen's intestinal microbiome and to assess the impact of probiotics and prebiotics on such self-organization. At the same time, it is assumed that the consequence of the self-organization of the microbiome of the intestines of birds is the use of their development. To achieve this goal, experiments were carried out on laying hens of the cross "Hisex Brown". At the end of the experiment, the frequency-taxonomic profiles of the microbiota of the caecum of the intestine in laying hens were determined using the high-throughput sequencing method. The fractal principle of self-organization of microbial communities was used to create an artificial computational neural fractal network. Bioconsolidation indices were calculated for each variant of the experiment. In the course of the studies, it was found that a decrease in the values of the bioconsolidation indices demonstrates greater protection of the bird's body when using organic and mineral prebiotics.

    Paper ID: 13A12S

    Cite this article:

    Kochish, I., Vorobyov, N., Nikonov, I. and Selina, M. (2022). Neural Network Fractal Model to Evaluate the Effectiveness of Antimicrobial Feed Additives in Egg Poultry Farming. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 13(12), 13A12S, 1-8. http://TUENGR.COM/V13/13A12S.pdf DOI: 10.14456/ITJEMAST.2022.250


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