Department of Systemic Bioengineering in Animal Husbandry

The Department of Systemic Bioengineering in Animal Husbandry is a scientific structural unit whose activities are focused on the development and implementation of innovative solutions in the field of animal husbandry.

The main objective of the Department is to enhance animal productivity, welfare, and adaptive capacity to climate challenges through the integration of classical approaches with modern biotechnologies, systems analysis, artificial intelligence methods, and digital technologies.

 

Main Research Areas

• Assessment of genetic resources and productive traits of animals using machine learning algorithms and bioinformatics technologies.
• Research on reproductive capacity and reproductive performance of animals.
• Systems analysis and forecasting of livestock development considering climatic, socio-economic, and environmental factors.
• Assessment of animal welfare in accordance with European standards (AWIN, EFSA).
• Modelling of climate scenarios and forecasting their impact on productive and reproductive performance.
• Monitoring of animal behaviour, physiological status, and stress responses under changing climatic conditions, including the implementation of digital and mobile solutions for animal monitoring and risk prediction.
• Application of AI and Big Data for early detection of stress factors and diseases, as well as the development of integrated models for herd, health, and productivity management.
• Investigation of the effects of increased temperature, humidity, and extreme weather events on animal health and productivity, and development of adaptation strategies, including the creation of comfort zones, optimisation of feeding under stress conditions, and implementation of sensor-based monitoring systems.

 

Scientific Support and Expert Activities

• Breeding and genetic evaluation of animals and productivity forecasting with consideration of climate risks.
• Scientific and practical recommendations for breeding and management of animals under changing climatic conditions.
• Analysis of the effects of genetic, environmental, and climatic factors on animal health and welfare.
• Development of recommendations for the implementation of artificial intelligence algorithms in animal husbandry.
• Development of digital platforms for monitoring herd health, productivity, and welfare.
• Collection, processing, and analysis of large datasets from farms and laboratories, including climatic indicators.
• Evaluation of the effectiveness of innovative bioengineering technologies.
• Preparation of analytical reports, methodological materials, and training of farm personnel.
• Advisory support for the implementation of climate-resilient and digital solutions in animal husbandry.