One of the most significant and complex processes in dairy farming is herd reproduction. This process involves rearing healthy calves and heifers, which, in turn, are a source of climate-active gases. The models from existing national and foreign scientific literature aim at assessing the release of various gases mainly from adult livestock. Therefore, it is important to create a model for calculating emissions of climate-active gases in young cattle rearing under variable indoor air environment conditions. This theoretical research resulted in a structural scheme for estimating emission levels from young animal housing that is centered on a predictive mathematical model. The model incorporated previously developed relationships for calculating CO2, CH4, NH3 and H2S emissions and integrated real-time data and operational parameters. A custom-designed mobile platform for multi-level concentration monitoring of climate-active gases recorded the indoor and outdoor air parameters of a young cattle rearing facility. The facility housed 518 young animals aged from 3.2 to 9.4 months. The data obtained were used to model and calculate the quantity of climate-active gas emissions depending on the age of the animals. Overall, the emissions in the studied facility were 781.0 kg/day for CO2; 24.9 kg/day for CH4; 1.1 kg/day for NH3; and 0.003 kg/day for H 2S. These findings will be included in recommendations for engineering and technological solutions to mitigate gas emissions from young cattle housing systems.

1. Vtoryi S. V., Kovalev S. V., Komoedov A. D. Analysis of young-stock breeding technologies for the development of monitoring instruments of gas concentrations in livestock houses. Agrarnyi nauchnyi zhurnal = The Agrarian Scientific Journal, 2025, no. 12, pp. 153–163 (in Russian). https://doi.org/10.28983/asj.y2025i12pp153-163

2. Guo H., Su Z., Yang X., Xu S., Pan H. Greenhouse gas emissions from beef cattle breeding based on the ecological cycle model. International Journal of Environmental Research and Public Health, 2022, vol. 19, no. 15, art. 9481. https://doi.org/10.3390/ijerph19159481

3. Vitaliano S., D’Urso P. R., Arcidiacono C., Cascone G. Ammonia emissions and building-related mitigation strategies in dairy barns: a review. Agriculture, 2024, vol. 14, no. 7, art. 1148. https://doi.org/10.3390/agriculture14071148

4. Ramirez-Restrepo C. A., Vera R., Rao I. M. The carbon footprint of young-beef cattle finishing systems in the Eastern Plains of the Orinoco River Basin of Colombia. Frontiers in Animal Science, 2023, vol. 4, art. 1103826. https://doi.org/10.3389/fanim.2023.1103826

5. Zhu Z., Li L., Dong H., Wang Y. Ammonia and greenhouse gase missions of different types of livestock and poultry manure during storage. American Society of Agricultural and Biological Engineers, 2020, vol. 63, no. 6, pp. 1723–1733. https://doi.org/10.13031/trans.14079

6. Briukhanov A. Yu., Vasilev E. V., Bazykin V. I., Shalavina E. V. Study of greenhouse gas emission from young cattle manure processing. Inzhenernye tekhnologii i sistemy = Engineering Technologies and Systems, 2025, vol. 35, no. 3, pp. 465– 488 (in Russian). https://doi.org/10.15507/2658-4123.035.202503.465-488

7. Calvet S., Estelles F., Prado A., Groenestein K. Modelling methane emission from manure. Technology for environmentally friendly livestock production. Cham, 2023, pp. 137–145. https://doi.org/10.1007/978-3-031-19730-76

8. Jiao H., Yan T., Wills D. A., Carson A. F., McDowell D. A. Development of prediction models for quantification of total methane emission from enteric fermentation of young Holstein cattle at various ages. Agriculture, Ecosystems & Environment, 2014, vol. 183, no. 6, pp. 160–166. http://dx.doi.org/10.1016/j.agee.2013.11.004

9. Lee H., Kim M., Masaki T., Oikawa K., Ashihara A., Ikuta K., Iwamoto E., Nonaka I., Haga S., Roh S., Suzuki T., Terada F., Uemoto Y. Prediction equation development for methane-related traits accounting for physiological traits in Japanese Black cattle. Animal Science Journal, 2026, vol. 97, art. e70144. https://doi.org/10.1111/asj.70144

10. Marumo J. L., LaPierre P. A., Van Amburgh M. E. Enteric methane emissions prediction in dairy cattle and effects of Monensin on methane emissions: a meta-analysis. Animals, 2023, vol. 13, no. 8, art. 1392. https://doi.org/10.3390/ani13081392

11. Soares D. M., Bernardino S., Rodrigues N., Gama I., Almeida J. M., Teixeira R. F. M., Santos-Silva J., Alves S. P., Domingos T., Martin C., Marques G. M., Bessa R. J. B. Effect of a corn silage-based finishing diet on growth, carcass composition, meat quality, methane emissions and carbon footprint of crossbred angus young bulls. Sustainability, 2025, vol. 17, no. 18, art. 8417. https://doi.org/10.3390/su17188417

12. Lee M., Auvermann B. W., Tedeschi L. O., Koziel J. A., Brandani C. B., Gouvea V. N., Smith J. K., Casey K. D. Ammonia emissions from beef cattle feed yards: a review. Frontiers in Animal Science, 2025, vol. 6, art. 1608387. https://doi.org/10.3389/fanim.2025.1608387

13. Aboltins A., Melece L., Priekulis J. Model for ammonia emissions’ assessment and comparison of various dairy cattle farming systems and technologies. Agronomy Research, 2019, vol. 17, no. 2, pp. 322–332. https://doi.org/10.15159/AR.19.081

14. Lee H.-M., Kim K.-C., Kim M.-W., Lee J.-Y., Joo H.-S. Estimation of ammonia emission inventory using life cycle assessment based on livestock manure flow: a case study of the manure management sector in Korea. Atmosphere, 2024, vol. 15, no. 8, art. 910. https://doi.org/10.3390/atmos15080910

15. Bleizgys R., Naujokiene V. Ammonia emissions from cattle manure under variable moisture exchange between the manure and the environment. Agronomy, 2023, vol. 13, no. 6, art. 1555. https://doi.org/10.3390/agronomy13061555

16. Brown M. S., Cole N. A., Gruber S., Kube J., Teeter J. S. Modeling and prediction accuracy of ammonia gas emissions from feedlot cattle. Applied Animal Science, 2019, vol. 35, no. 3, pp. 347–356. https://doi.org/10.15232/aas.2018-01834

17. Kirsanov V. V., Dovlatov I. M., Yurochka S. S., Komkov I. V. Development of a parametric model for determining the gas composition of the air environment (ammonia, hydrogen sulfide, carbon dioxide) of livestock premises. Agroinzheneriya = Agricultural Engineering, 2023, vol. 25, no. 3, pp. 13–22 (in Russian). https://doi.org/10.26897/2687-1149-2023-3-13-22

18. Vtoryi S. V., Mironova T. Yu., Gordeeva T. I., Mateichik S. N. Calculation of emission level of climate-active gases in milk production. AgroEkoInzheneriya = AgroEcoEngineering, 2024, no. 4 (121), pp. 131–143 (in Russian). https://doi.org/10.24412/2713-2641-2024-4121-131-143

19. Wang C., Li B., Zhang G., Rom H. B., Strom J. S. Model estimation and measurement of ammonia emission from naturally ventilated dairy cattle buildings with slatted floor designs. Journal of the Air & Waste Management Association, 2006, vol. 56, no. 9, pp. 1252–1259. https://doi.org/10.1080/10473289.2006.10465678

20. Hempel S., Willink D., Janke D., Ammon C., Amon B., Amon T. Methane emission characteristics of naturally ventilated cattle buildings. Sustainability, 2020, vol. 12, no. 10, art. 4314. https://doi.org/10.3390/su12104314

21. Janke D., Yi. Q., Thormann L., Hempel S., Amon B., Nosek S., Van Overbeke P., Amon T. Direct measurements of the volume flow rate and emissions in a large naturally ventilated building. Sensors, 2020, vol. 20, no. 21, art. 6223. https://doi.org/10.3390/s20216223

22. Vtoryi V. F., Vtoryi S. V. CO2 as a tracer gas for determining the air exchange in a cow barn. Agrarnyi nauchnyy zhurnal = The Agrarian Scientific Journal, 2023, no. 10, pp. 154–160 (in Russian). https://doi.org/10.28983/asj.y2023i10pp154-160