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PRACTICAL ON FARM ATTEMPT TO CONTROL GREENHOUSE GAS EMISSIONS IN HIGH-PRODUCING DAIRY COWS

Ilga Šematoviča, Ritvars Bole

First published: 2025-12-27https://doi.org/10.5593/sgem2025v/4.2/s19.62View metrics

Abstract

Cattle are considered one of the most significant contributors to greenhouse gas (GHG) emissions in livestock farming. The calculation method has been used until now. No data on how well the calculations correspond to the real situation, and how to influence this in practice. The need for real data is becoming increasingly important as farming intensification relates to GHGs and sustainability. The study aimed to investigate the concentrations of methane (CH4) and carbon dioxide (CO2) in cows- breath/burp (BB) in farm conditions. Detector-Transmitters E2608-CO2-10K and E2608-CH4 were used to obtain data, which were analysed in terms of cow age, productivity, feeding, eating and rumination time, and the genetic value of the investigated cows- fathers (feed efficiency index (FEI) and feed residue intake index (FRII)). The average CH4 and CO2 concentrations in the BB of dairy cows were 19.7-4.61 ppm, and 5446.1-968.00 ppm, respectively. No significant differences were detected regarding cow age, feeding and productivity (p>0.05). The correlations were found between CH4 and CO2 concentration in cow BB (r=0.34, p less than 0.01), DM consumed, productivity (r=-0.77, p less than 0.05) and rumination time per day (r=0.46, p less than 0.001). The cow-s DM intake had a weak correlation with FRII (r=-0.29, p less than0.05) and FEI (r=0.32, p less than0.05) of the particular cow fathers- genome test. In conclusion, monitoring GHG emissions on farms could be introduced to influence their quantity and management in accordance with sustainable principles. Genomic tests are recommended to reduce GHG emissions on the farm.

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Publication details

Title
PRACTICAL ON FARM ATTEMPT TO CONTROL GREENHOUSE GAS EMISSIONS IN HIGH-PRODUCING DAIRY COWS
Authors
Ilga Šematoviča, Ritvars Bole
Proceedings
25th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2025, Energy and Clean Technologies
Publisher
STEF92 Technology
Year
2025
Pages
573-578
SWS Citekey
Sematovica202519573578
ISSN
1314-2704; 13142704
ISBN
9786197603934
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References18
  1. Berdos J. I., Ncho C. M., Son A.-R., Lee S. S., Kim S. H., Greenhouse Gas (GHG) Emission Estimation for Cattle: Assessing the Potential Role of Real-Time Feed Intake Monitoring. Sustainability, 15(20), 14988, 2023, DOI: 10.3390/su152014988

  2. Calculation Tools and Guidance (https://ghgprotocol.org/calculation-tools-and-guidance ).

  3. Our world in Data. Related research and data. https://ourworldindata.org/ grapher/temperature-anomaly

  4. CO2 and Greenhouse Gas Emissions. CO2 emissions per capita. https://ourworldindata.org/co2-and-greenhouse-gas-emissions

  5. Capper, J.L., Bauman D.E. The role of productivity in improving the environmental sustainability of ruminant production systems. Annu. Rev. Anim. Biosci. 1:469�489, 2013, https://doi.org/10.1146/annurev-animal-031412-103727 DOI: 10.1146/annurev-animal-031412-103727

  6. Carbon Dioxide Detector-Transmitter E2608-CO2-10K (Evikon) https://www.evikon.eu/pdf/evikon/E2608-CO2_DS_EN.pdf

  7. Di�mann, L., Reinhold, P., Smith, J., Amon, T., Sergeeva, A., & Hoffmann, G. (2023). Evaluation of a Respiration Rate Sensor for Recording Tidal Volume in Calves under Field Conditions. Sensors (Basel, Switzerland), 23(10), 4683. DOI: 10.3390/s23104683

  8. Gallivan G., McDonell W.,Forrest, J. Comparative ventilation and gas exchange in the horse and the cow. Research in Veterinary Science, 46(3), 331-336, 1989. DOI: 10.1016/S0034-5288(18)31175-5

  9. Greenhouse Gas Emissions Calculator� published directly on the Latvian website (https://www.financelatvia.eu/wp-content/uploads/2024/04/GHG_Calculator_guidelines.pdf)

  10. Methane Detector-Transmitter E2608-CH4 (Evikon) https://www.evikon.eu/ pdf/evikon/E2608-CH4_DS_EN.pdf

  11. Madsen, J., Bjerg, B., Hvelplund, T., Weisbjerg, M., & Lund, P. (2010). Methane and carbon dioxide ratio in excreted air for quantification of the methane production from ruminants. Livestock Science, 129(1-3), 223-227. https://doi.org/10.1016/j. livsci.2010.01.001 DOI: 10.1016/j.livsci.2010.01.001

  12. Negussie E, Lehtinen J, M�ntysaari P, Bayat AR, Liinamo AE, M�ntysaari EA, Lidauer MH. Non-invasive individual methane measurement in dairy cows. Animal. 2017 May;11(5):890-899. DOI: 10.1017/S1751731116002718.

  13. Oikawa, K., Suzuki, T., Kamiya, Y., Higuchi, M., Yamada, T., Kamiya, M., & Terada, F. (2022). Prediction of methane emissions from fattening cattle using the methane-to-carbon dioxide ratio. Animal Science Journal, 94(1), e13828. DOI: 10.1111/asj.13828

  14. Storm I. M. L., F Hellwing A. L., Nielsen N. I., Madsen J. Methods for Measuring and Estimating Methane Emission from Ruminants. Animals: An Open Access Journal From MDPI, 2(2), 160, 2012. DOI: 10.3390/ani2020160

  15. Tedeschi L. O., Abdalla A. L., �lvarez C., Anuga S. W., Arango J., Beauchemin K. A., Becquet P., Berndt A., Burns R., Camillis C. D., Chara J., Echazarreta J. M., Hassouna M., Kenny D., Mathot M., Mauricio R. M., McClelland S. C., Niu M., Onyango A. A., Kebreab E. Quantification of methane emitted by ruminants: A review of methods. Journal of Animal Science, 100(7), skac197, 2022, DOI: 10.1093/jas/skac197

  16. Van Breukelen A.E, Aldridge M.A, Veerkamp R.F, de Haas Y. Genetic parameters for repeatedly recorded enteric methane concentrations of dairy cows. J Dairy Sci. 2022 May;105(5):4256-4271. DOI: 10.3168/jds.2021-21420. Epub 2022 Mar 17. PMID: 35307185.

  17. van Breukelen, A. E., Aldridge, M. N., Veerkamp, R. F., Koning, L., Sebek, L. B., & de Haas, Y. Heritability and genetic correlations between enteric methane production and concentration recorded by GreenFeed and sniffers on dairy cows. Journal of Dairy Science, 106(6), 4121-4132, 2023, doi.org/DOI: 10.3168/jds.2022-22735

  18. WBCSD, www.wbcsd.org; World Resources Institute, www.wri.org

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