Methodological protocol for conducting a cow feeding audit as a tool for realising the genetic potential of animals

Valeriy Borshchenko, Oksana Lavryniuk*, Andrii Bernatskyi, Oleksandr Sharpatyi, Kostiantyn Sikhnevych

oksana_lavren@ukr.net

Abstract

In modern industrial dairy farming, the full realisation of the genetic potential of animals remains a complex challenge. In practice, actual productivity often does not correspond to theoretical calculations because of technological errors, unaccounted environmental factors, and hidden disturbances in the system of supplying animals with nutrients. This determines the need to introduce systematic auditing as a tool for operational control and correction of production processes. The purpose of the study was to provide a theoretical and methodological justification for a comprehensive protocol for auditing the feeding system to identify technological discrepancies and to create a conceptual model for organising experimental studies and interpreting their results correctly. The study was based on a systems approach to evaluating the entire feeding chain. The methods used included comparative analysis, zootechnical control, and interpretation of biochemical indicators of the physiological state, particularly milk urea level. A detailed audit algorithm consisting of six sequential steps was developed. The first stage involved a detailed analysis of the current situation by comparing calculated rations with actual productivity data and reproduction indicators. Feed quality was assessed in parallel, including an audit of storage conditions, conservation technologies, and the physicochemical properties of ingredients. The next block focused on operational processes of preparing and distributing the feed mixture: loading accuracy, mixing time, and uniform distribution of components are controlled. Intake monitoring involved analysing animal behaviour, assessing the amount of refusals, and identifying separation of feed particles. The final stages included assessment of the physiological state of the herd, particularly body condition, rumen fill, and rumination intensity. The audit ended with a comprehensive interpretation of milk composition. Special attention was given to the use of the urea indicator as a marker of protein and energy use efficiency, which supports prompt correction of feeding. Introduction of the protocol helps specialists identify “bottlenecks” in the production cycle, reduce feed costs per unit of output, prevent the development of metabolic disorders, and ensure maximum realisation of the biological capacity of a high-producing herd

Keywords

technological control; milk urea; feed conversion; physiological state, biological potential; management algorithm; quality of raw milk

Suggested citation
Borshchenko, V., Lavryniuk, O., Bernatskyi, A., Sharpatyi, O., & Sikhnevych, K. (2026). Methodological protocol for conducting a cow feeding audit as a tool for realising the genetic potential of animals. Scientific Reports of the National University of Life and Environmental Sciences of Ukraine, 22(4),107-126. https://doi.org/10.31548/dopovidi/4.2026.107
References
  1. Agnew, R.E., & Yan, T. (2000). Impact of recent research on energy feeding systems for dairy cattle. Livestock Production Science, 66(3), 197-215. doi: 10.1016/S0301-6226(00)00161-5.
  2. Bach, A., Iglesias, C., Calsamiglia, S., & Devant, M. (2007). Effect of amount of concentrate offered in automatic milking systems on milking frequency, feeding behavior, and milk production of dairy cattle consuming high amounts of corn silage. Journal of Dairy Science, 90(11), 5049-5055. doi: 10.3168/jds.2007-0347.
  3. Berner, L.A. (1993). Roundtable discussion on milkfat, dairy foods, and coronary heart disease risk. The Journal of Nutrition, 123(6), 1175-1184. doi: 10.1093/jn/123.6.1173.
  4. Borshchenko, V., Lavryniuk, O., Obertiukh, Yu., Lisohurska, D., Bernatskyi, A., Lisohurska, O., & Furman, S. (2025). Ration calculator for farm animals – an effective tool for improving their feeding. Agrarian Bulletin of the Black Sea Littoral, 115, 117-128. doi: 10.37000/abbsl.2025.115.11.
  5. Bougouin, A., 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. Journal of Dairy Science, 105(9), 7462-7481. doi: 10.3168/jds.2021-20885.
  6. Broderick, G.A. (2003). Effects of varying dietary protein and energy levels on the production of lactating dairy cows. Journal of Dairy Science, 86(4), 1370-1381. doi: 10.3168/jds.S0022-0302(03)73721-7.
  7. Burlaka, V. A., Kryvyi, M.M., & Borshchenko, V.V. (Eds.). (2004). Feeding of farm animals (Manual). Zhytomyr: State Agroecological University.
  8. Chapman, D.F., Mackay, A.D., Caradus, J.R., Clark, D.A., & Goldson, S.L. (2025). Pasture productivity in New Zealand 1990-2020: Trends, expectations, and key factors. New Zealand Journal of Agricultural Research, 68(6), 1221-1264. doi: 10.1080/00288233.2024.2425071.
  9. Chowdhury, M.R., Wilkinson, R.G., & Sinclair, L.A. (2025). Performance, metabolism and nitrogen use efficiency in dairy cows fed low protein, legume silage-based diets: A systematic review and meta-analysis. Animal, 19(3), article number 101433. doi: 10.1016/j.animal.2025.101433.
  10. Cook, N.B., & Nordlund, K.V. (2009). The influence of the environment on dairy cow behavior, claw health and herd lameness dynamics. The Veterinary Journal, 179(3), 360-369. doi: 10.1016/j.tvjl.2007.09.016.
  11. Eastridge, M.L. (2006). Major advances in applied dairy cattle nutrition. Journal of Dairy Science, 89(4), 1311-1323. doi: 10.3168/jds.S0022-0302(06)72199-3.
  12. Eastridge, M.L., Bucholtz, H.F., Slater, A.L., & Hall, C.S. (1998). Nutrient requirements for dairy cattle of the National Research Council versus some commonly used ration software. Journal of Dairy Science, 81(11), 3049-3062. doi: 10.3168/jds.S0022-0302(98)75870-9.
  13. Fredin, S.M., Ferraretto, L.F., Akins, M.S., Hoffman, P.C., & Shaver, R.D. (2014). Fecal starch as an indicator of total-tract starch digestibility by lactating dairy cows. Journal of Dairy Science, 97(3), 1862-1871. doi: 10.3168/jds.2013-7395.
  14. Gabriella, A., Varga, I., & Virginia, A. (2005). Managing nutrition for optimal milk components. University Park: Pennsylvania State University.
  15. Godden, S.M., Lissemore, K.D., Kelton, D.F., Leslie, K.E., Walton, J.S., & Lumsden J.H. (2001). Relationships between milk urea concentrations and nutritional management, production, and economic variables in Ontario dairy herds. Journal of Dairy Science, 84(5), 1128-1139. doi: 10.3168/jds.S0022-0302(01)74573-0.
  16. Gondo, T. (2025). The role of fiber in ruminant health and dairy productivity. Retrieved from https://www.researchgate.net/publication/388616940_The_Role_of_Fiber_in_Ruminant_Health_and_Dairy_Productivity.
  17. Huhtanen, P., & Hristov, A.N. (2009). A meta-analysis of the effects of dietary protein concentration and degradability on milk protein yield and milk N efficiency in dairy cows. Journal of Dairy Science, 92(7), 3222-3232. doi: 10.3168/jds.2008-1352.
  18. Hutjens, M., & Chase, L.E. (2012). Interpreting milk urea nitrogen (MUN) values. Extension – America’s research-based learning network. Retrieved from https://lpelc.org/interpreting-milk-urea-nitrogen-mun-values/.
  19. Kohn, R.A., Dinneen, M.M., & Russek-Cohen, E. (2005). Using blood urea nitrogen to predict nitrogen excretion and efficiency of nitrogen utilization in cattle, sheep, goats, horses, pigs, and rats. Journal of Animal Science, 83 (4), 879-889. doi: 10.2527/2005.834879x.
  20. Lammers, B.P., Buckmaster, D.R., & Heinrichs, A.J. (1996). A simple method for the analysis of particle sizes of forage and total mixed rations. Journal of Dairy Science, 79(5), 922-928. doi: 10.3168/jds.S0022-0302(96)76442-1.
  21. Lavery, A., Craig1, A., Gordon A.W., White, A., Barkley, N.,∙& Ferris, C.P. (2025). Reducing dietary crude protein levels while meeting metabolizable protein requirements: Performance of dairy cows over a full lactation period. Journal of Dairy Science, 108(2), 1451-1473. doi: 10.3168/jds.2024-25405.
  22. Mezzetti, M., Cattaneo, L., Passamonti, M.M., Lopreiato, V., Minuti, A., & Trevisi, E. (2021). The transition period updated: A review of the new insights into the adaptation of dairy cows to the new lactation. Dairy, 2(4), 617-636. doi: 10.3390/dairy2040048.
  23. Miller-Cushon, E.K., & Jensen, M.B. (2025). Social housing of dairy calves – management factors affecting calf behavior, performance, and health: A systematic review. Journal of Dairy Science, 108(4), 3019-3044. doi: 10.3168/jds.2024-25468.
  24. Mitev, E., Laleva, S., & Popova, Y. (2025). Precision systems in dairy farms related to monitoring and management of some productive and technological indicators ‒ a review part 1. Trakia Journal of Sciences, 23(3), 8-15. doi: 10.15547/tjs.2025.03.011.
  25. National Academies of Sciences, Engineering, and Medicine (NASEM). (2021). Nutrient requirements of dairy cattle (8th rev. ed.). Washington: The National Academies Press. doi: 10.17226/25806.
  26. National Research Council (NRC). (2001). Nutrient requirements of dairy cattle (8ͭ ͪ rev. ed.). Washington: National Academy Press. doi: 10.17226/9825.
  27. Nousiainen, J., Shingfield, K.J., & Huhtanen, P. (2004). Evaluation of milk urea nitrogen as a diagnostic of protein feeding. Journal of Dairy Science, 87(2), 386-398. doi: 10.3168/jds.S0022-0302(04)73178-1.
  28. Obertiukh, Yu., Borshchenko, V., Bernatskyi, A., Lisohurska, D., Lavryniuk, O., Furman, S., & Lisohurska, O. (2025). Farm animal ration calculator (Practical guide). Zhytomyr: Polissia National University.
  29. Portnoy, M., Coon, C., & Barbano, D.M. (2021). Performance evaluation of an enzymatic spectrophotometric method for milk urea nitrogen. Journal of Dairy Science, 104(11), 11422-11431. doi: 10.3168/jds.2021-20308.
  30. Ruban, S., & Danshyn, V.O. (2024). Feed efficiency of dairy cattle as genetic trait. The Animal Biology, 26(1), 3-10. doi: 10.15407/animbiol26.01.003.
  31. 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. Dairy Science, 96(9), 5734-5745. doi: 10.3168/jds.2013-6842.
  32. Tyasi, T.L., Gxasheka, M., & Tlabela, C.P. (2015). Assessing the effect of nutrition on milk composition of dairy cows: A review. International Journal of Current Science, 17, 56-63.
  33. Wathes, C.M., Kristensen, H.H., Aerts, J.M., & Berckmans, D. (2008). Is precision livestock farming an engineer's daydream or nightmare, an animal's friend or foe, and a farmer's panacea or pitfall? Computers and Electronics in Agriculture, 64(1), 2-10. doi: 10.1016/j.compag.2008.05.005.
  34. Zhao, X., Zheng, N., Zhang, Y., & Wang, J. (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. doi: 10.1016/j.aninu.2024.08.007.
  35. Zhou, P., et al. (2025). Comprehensive evaluation of agricultural residues corn stover silage. Agriculture, 15(13), article number 1362. doi: 10.3390/agriculture15131362.