DOI: 10.32900/2312-8402-2025-135-132-144
Keywords: fat, protein, lactose, correlation, regression dependence, milk urea nitrogen, nitrogen use efficiency for milk production
The efficiency of protein metabolism in cows, the level of consumption and the quality of ‘input’ protein in the diet is reflected in an indicator such as milk urea nitrogen (MUN), which is an important biomarker of these processes. MUN variability is closely related to the quality and structure of the total mixed ration (TMR), physiological and genetic factors.
The study evaluated the variability and relationship between milk yield and the main components of milk (fat, protein, lactose, MUN content), as well as the level of MNE (nitrogen efficiency).
It was found that seasonal fluctuations (year – month of calving) had the greatest impact on MNE indicators, accounting for 9.3% (P>0.999). No significant influence of genetic factors (bull influence) on this indicator was found.
The values of phenotypic correlation coefficients between daily milk yield and the main components of milk (fat, protein, lactose content), as well as MUN and MNE levels for milk production, made it possible to identify reliable dependencies. Thus, the value of MNE for milk production negatively correlates with the fat content in milk (Р>0,999), protein in milk (Р>0,999), lactose in milk (Р>0,999), and urea nitrogen content in milk (Р>0,999).
A positive correlation (Р>0,999) was also found between milk yield and MNE for milk production, and a negative highly significant correlation between MNE and MUN content (Р>0,999). A reliable directly proportional regression dependence of changes in daily milk yield on MNE indicators for milk production was calculated.
Analysis of the absolute values of fat, protein and lactose content proves the existence of a negative regression dependence with MNE on milk production. The results obtained indicate the need to include MUN values to optimize feeding programs and animal welfare management, and knowledge of the relationship between milk components and MNE for milk production indicates the need to model possible changes in each of these components.
References
Badhan, A., Wang, Y., Terry, S., Gruninger, R., Guan, L. L., and McAllister, Tim A. (2025). Invited review: Interplay of rumen microbiome and the cattle host in modulating feed efficiency and methane emissions, J. Dairy Sci., Vol. 108, No. 6, 108:5489-5501, https://doi.org/10.3168/jds.2024-26063
Borshch, O. O. (2023). The impact of global climate change on individual elements of milk production technology, Dissertation for the degree of Doctor of Agricultural Sciences, Manuscript. National University of Life and Environmental Sciences of Ukraine, Kyiv, 404 p.
Bougouin, A., Hristov, A., Dijkstra, J.,et al. (2022). Prediction of nitrogen excretion from data on dairy cows fed a wide range of diets compiled in an intercontinental database: A meta-analysis, J. Dairy Sci., Vol. 105 No. 9, 7462–7481, https://doi.org/10.3168/jds.2021-20885
European Convention for the Protection of Vertebrate Animals used for Experimental and Other Scientific Purposes, (1986, March), Retrieved from https://rm.coe.int/168007a67b, 1986.
Huhtanen P., Rinne M., Nousiainen J. (2009). A meta-analysis of feed digestion in dairy cows. 2. The effects of feeding level and diet composition on digestibility. J. Dairy Sci. Vol. 92 No. 10, 92 :5031–5042 https://doi: 10.3168/jds.2008-1834
Huhtanen, P., Cabezas-Garcia, E. H., Krizsan, S. J., and Shingfield K. J. (2015). Evaluation of between-cow variation in milk urea and rumen ammonia nitrogen concentrations and the association with nitrogen utilization and diet digestibility in lactating cows, J. Dairy Sci., May; 98(5):3182-96, https://doi:10.3168/jds.2014-8215
Kondratiuk V.M., Ruban S.Y., Borshch O.O. et al. (2024). Modernization of milk production farms (engineering, feeding, genomic prediction). K.: PE Yamchynskyi O. V. 323 p.
Langenfeld, N., Laurenpayne, and Bugbee, B. (2021). Colorimetric determination of urea, V.4. Utah State University; Crop Physiology Laboratory, Utah State University, https://doi://10.17504/protocols.io.14egnzmzqg5d/v4
Law of Ukraine No. 3447-IV «On the Protection of Animals from Cruelty», (2006, February), Retrieved from https://zakon.rada.gov.ua/laws/show/3447-15#Text, 2006.
Musembei Lilian, Bett Rawlynce, Gachuiri Charles, Kibegwa Felix. Potential role of rumen bacteria in modulating milk production and composition of admixed dairy cows. Letters in Applied Microbiology, 2023, 76, 1–9. https://doi.org/10.1093/lambio/ovad007
Order of the Ministry of Education and Science, Youth and Sports of Ukraine No. 249 “On Approval of the Procedure for Conducting Experiments on Animals by Scientific Institutions”. (2012, March). Retrieved from https://zakon.rada.gov.ua/laws/show/z0416-12/print.
Peter J. Van Soest. (1994). Nutritional Ecology of the Ruminant. Copyright Date: Edition: 2 Published by: Cornell University Press. Pages: 488. https://www.jstor.org/stable/10.7591/j.ctv5rf668
Rauw W.M., L.H. Baumgard, J.C.M. Dekkers. (2025). Animal, 19, 191376. https://doi.org/10.1016/j.animal.2024.101376
Ruban S., Shabash M., Tupitska O., Slobodyanyuk N. (2025). Effect of breed factor on urea level and blood biochemical parameters in dairy cattle. Animal Science and Food Technology, 16(1), 9-25. https://doi.org/10.31548/animal.1.2025.09.
Ruban S.Y., Kudlay I.M., Klymenko A.V., Mitioglo L.V., Tsentylo L. V., Tsybenko V. G. (2021). Milk production (domestic and world experience of effective dairy farming). Kh.: PE Brovin O.V., 368 р.
Souza R. A., Tempelman R. J., Allen M. S., Weiss W. P., Bernard J. K., VandeHaar M. J. (2018). Predicting nutrient digestibility in high-producing dairy cows. J. Dairy Sci. Vol. 101 No. 2, 101:1123–1135. https://doi.org/10.3168/jds.2018-13344)
Souza V. C., Aguilar1 M., Van Amburgh M., Nayananjalie W. A. D., Hanigan M. D.. Milk urea nitrogen variation explained by differences in urea transport into the gastrointestinal tract in lactating dairy cows. J. Dairy Sci. Vol. 104 No. 6, 2021. 104:6715–6726. https://doi.org/10.3168/jds.2020-19787
Spek J.W., Bannink A., Gort G., Hendriks W.H., Dijkstra J. (2013) Interaction between dietary content of protein and sodium chloride on milk urea concentration, urinary urea excretion, renal recycling of urea, and urea transfer to the gastrointestinal tract in dairy cows. J. Dairy Sci. 2013a;96:5734e45. https://doi.org/10.3168/jds.2013-6842
Van Raden P.M., Cole J., Parker Gaddis K.L. (2021). Net merit as a Measure of Lifetime Profit: Revision. AIP RESEARCH REPORT NM$8 (05-21). 20 рр.
Xiaowei Zhao, Changjiang Zang, Shengguo Zhao, Nan Zheng, Yangdong Zhang, Jiaqi Wang. (2025). Assessing milk urea nitrogen as an indicator of protein nutrition and nitrogen utilization efficiency: A meta-analysis. J. Dairy Sci., Vol. 108 No. 5, 4851- 4861 p. https://doi.org/10.3168/jds.2024-25656.
Xiaowei Zhao, Changjiang Zang, Shengguo Zhao,Nan Zheng, Yangdong Zhang, Jiaqi Wang. (2025). Assessing milk urea nitrogen as an indicator of protein nutrition and nitrogen utilization efficiency: A meta-analysis. J. Dairy Sci. Vol. 10, May 108:4851–4862. https://doi.org/10.3168/jds.2024-25656
Xiaowei Zhao, Nan Zheng, Yangdong Zhang, Jiaqi Wang. (2024). The role of milk urea nitrogen in nutritional assessment and its relationship with phenotype of dairy cows: A review. Animal Nutrition. 20 33-41. https://doi.org/10.1016/j.aninu.2024.08.007.