Digital twin and predictive control of diisopropyl ether synthesis in a vibrofluidized bed
https://doi.org/10.32634/0869-8155-2025-399-10-197-202
Abstract
The concept of using enzymes from the poly(ADP-ribose) polymerase (PARP) family as innovative biomarkers for assessing the reproductive potential of breeder roosters in industrial poultry farming is presented. A methodology for the comprehensive analysis of PARP-1, PARP-2, and PARP-9 activity in spermatozoa has been developed to enhance the efficiency of breeding selection. It has been experimentally established that the concentration of intact forms of the polymerases correlates with the morphofunctional characteristics of germ cells (r = 0.73–0.81), while the level of cleaved forms is inversely related to sperm viability. A study of 248 Rhode Island Red roosters during 2023–2024 showed that PARP activity in highquality semen samples was 60-62% higher compared to low-quality samples. A predictive model with an explanatory power of R² = 0.71 was developed, allowing for the prediction of the fertile potential of breeders with an accuracy of 87%. The implementation of PARP-based diagnostics ensures a 23–27% increase in the accuracy of breeding selection, a reduction in unproductive costs associated with maintaining low-quality males, and an acceleration in the development of competitive domestic poultry lines. The economic efficiency amounts to 18.5 thousand RUB/ha of additional income with a return on investment of 4.2 years.
About the Authors
A. V. Vvedenskaya
Samara State Medical University of the Ministry of Health Russian Federation
Russian Federation
Russian Federation
Anna Vasilyevna Vvedenskaya - Researcher,
89 Chapaevskaya Str., Samara, 443099
M. N. Glubokova
Samara State Medical University of the Ministry of Health Russian Federation
Russian Federation
Russian Federation
Maria Nikolaevna Glubokova - Candidate of Medical Sciences, Associate Professor,
Department of General, Bioinorganic and Bioorganic Chemistry,
89 Chapaevskaya Str., Samara, 443099
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Review
For citations:
Vvedenskaya A.V., Glubokova M.N. Digital twin and predictive control of diisopropyl ether synthesis in a vibrofluidized bed. Agrarian science. 2025;(10):197-202. (In Russ.) https://doi.org/10.32634/0869-8155-2025-399-10-197-202
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