Generate QR code
Open Access
Subscription Access
Evaluation of cows according to the index of nutritional activity in the conditions of robotic milking
https://doi.org/10.26898/0370-8799-2025-7-8
Abstract
The article presents the results of a study on testing a method for assessing cows using the nutritional activity index. The specified index is determined by the ratio of daily milk yield to the time spent on feed intake and chewing activity. Within the framework of the proposed method, analysis of the ethological manifestations of cows under robotic milking conditions was carried out. Information on the behavioral characteristics of animals was obtained by visual observation at one of the Holstein breeding farms in the Republic of Tatarstan. It has been established that with an increase in the nutritional activity index, cows spend less time standing and devote less time to passive rest, lie down more and devote more time to chewing activity, which is reflected in their milk productivity indicators. Cows with a high nutritional activity index had significantly higher milk yield for 305 days of lactation than the cows with an average index by 932.2 kg (9.0%) at p ˂ 0.05, and with a low index by 1686.9 kg (17.5%) at p ˂ 0.01. Animals with a high nutritional activity index in terms of milk fat and protein content were significantly ahead of the cows with an average index by 41.2 kg (10.3%) and 31.3 kg (9.3%), respectively, at p ˂ 0.05, and with a low index by 71.2 kg (19.3%) and 55.4 kg (17.8%), respectively, at p ˂ 0.01. Thus, the nutritional activity index can be used as a selection feature for improving the dairy herd, which allows it to be filled with animals of an active behavior type.
About the Author
D. R. Sharipov
Kazan State Agrarian University
Russian Federation
Russian Federation
Delyus R. Sharipov, Assistant Professor, Candidate of Science in Biology, Associate Professor
35, Sibirskiy trakt St., Kazan, 420029
References
1. Mosolova N.I., Chekanova М.A., Gorlov I.F., Tkachenkova N.A., Slozhenkina А.A., Vorontsova Е.S. Experience in milk production when using robotic milking carousel GEA DairyProQ. Izvestiya Nizhnevolzhskogo agrouniversitetskogo kompleksa = Izvestia of the Lower Volga Agro-University Complex, 2022, no. 2 (66), pp. 208–220. (In Russian). DOI: 10.32786/2071-9485-2022-02-27.
2. Isakova M.N., Ryaposova M.V. Efficiency of the data generated by the robotic milking system for comprehensive diagnosis of mastitis in cows. Veterinariya segodnya = Veterinary Science Today, 2023, vol. 12, no. 2, pp. 119–125. (In Russian). DOI: 10.29326/2304-196X-2023-12-2-119-125.
3. Khisamov R.R., Zagidullin L.R., Fayzullina T.A. Cow evaluation and selection by udder quality during robotic milking. Vestnik Altaiskogo gosudarstvennogo agrarnogo universiteta = Bulletin of Altai State Agricultural University, 2024, no. 1 (231), pp. 64–69. (In Russian). DOI: 10.53083/1996-4277-2024-231-1-64-69.
4. Meshcheryakov V.P. Characteristics and evaluation of first-calf cows on the intensity of milk removal at the "Carousel" installation. Molochnoe i myasnoe skotovodstvo = Dairy and Beef Cattle Farming, 2020, no. 7, pp. 6–9. (In Russian). DOI: 10.33943/MMS.2020.64.31.002.
5. Chechenikhina O.S., Smirnova E.S., Razhina E.V., Menshchikov N.N. Influence of voluntary milking technology on productivity indicators of cows of different types of stress resistance. Molochnokhozyaistvenniy vestnik = Dairy Farming Journal, 2024, no. 2 (54), pp. 128–140. (In Russian). DOI: 10.52231/2225-4269_2024_2_128.
6. Chuchunov V.A., Zlepkin V.A., Plotnikov V.P., Radzievsky E.B. Forecasting of dairy productivity of cows. Izvestiya Nizhnevolzhskogo agrouniversitetskogo kompleksa = Izvestia of the Lower Volga Agro-University Complex, 2021, no. 3 (63), pp. 262–274. (In Russian). DOI: 10.32786/2071-9485-2021-03-27.
7. Tret’yakov E.A., Burgomistrova O.N., Kulakova T.S., Maslova T.F. Ethological manifestations of highly productive cows when using a feed additive based on humates. Vestnik Bashkirskogo gosudarstvennogo agrarnogo universiteta = Bulletin of Bashkir State Agrarian University, 2023, no. 2 (66), pp. 88–92. (In Russian). DOI: 10.31563/1684-7628-2023-66-2-88-92.
8. Сhuchunov V.A., Radzievsky E.B., Konobley T.V. Evaluating method for the future dairy productivity of cows of the Simmental breed. Vestnik Kurganskoy GSKhA = Bulletin of the Kurgan State Agricultural Academy, 2021, no. 1 (37), pp. 45–50. (In Russian). DOI: 10.52463/22274227_2021_37_45.
9. Stepanov A.V., Bykova O.A. Features of the behavior of first cows at different milking modes. Vestnik biotekhnologii = Bulletin of Biotechnology, 2021, no. 2 (27), p. 10. (In Russian).
10. Shishkina T.V., Nefedova A.A. Features of the behavior of cows depending on the blood type of the Holstein breed. Nauka i obrazovanie = The Education and Science Journal, 2021, vol. 4, no. 2, p. 317. (In Russian).
11. Zagidullin L.R., Khisamov R.R., Shaydullin R.R., Kayumov R.R., Nigmatzyanov S.M. Behavioral activity of cows in the conditions of robotic milking and its relationship to dairy productivity. Molochnoe i myasnoe skotovodstvo = Dairy and Beef Cattle Farming, 2020, no. 8, pp. 10–12. (In Russian). DOI: 10.33943/MMS.2020.66.93.003.
12. Smirnova Yu.M., Platonov A.V. Influence of enzymatic-probiotic drugs on food behavior and milk productivity of transport cows. Molochnoe i myasnoe skotovodstvo = Dairy and Beef Cattle Farming, 2020, no. 5, pp. 47–50. (In Russian). DOI: 10.33943/MMS.2020.70.45.009.
13. Paudyal S. Using rumination time to manage health and reproduction in dairy cattle: a review. Veterinary Quarterly, 2021, vol. 41 (1), pp. 292– 300. DOI: 10.1080/01652176.2021.1987581.
14. Khisamov R.R., Zagidullin L.R., Shaydullin R.R., Moskvicheva A.B. The degree of the influence of behavioral activity of cows on milk productivity in the conditions of robotic milking. Uchenye zapiski Kazanskoy gosudarstvennoy akademii veterinarnoy meditsiny im. N.E. Baumana = Scientific notes of Kazan Bauman State Academy of Veterinary Medicine, 2022, vol. 249, no. 1, pp. 234–239. (In Russian). DOI: 10.31588/2413_4201_1883_1_249_234.
15. Soest B.J., Pereira M.N., Duffield T.F., Steele M.A., De Vries T.J. Effect of pre- and postpartum supplementation of a pure glycerol product to dairy cows on feeding behavior, lying behavior, and reticulorumen pH. Journal of Dairy Science, 2024, vol. 107, pp. 1427– 1440. DOI: 10.3168/jds.2023-23594.
16. Komlatsky G.V., Melnichenko A.A., Lazarev D.O. Prospects for the use of robotic milking in small economies. Agrarniy nauchniy zhurnal = The Agrarian Scientific Journal, 2020, no. 11, pp. 117–120. (In Russian). DOI: 10.28983/asj.y2020i11pp117-120.
17. Mazurov V.N., Sanova Z.S. Milk yield and its relationship in highly productive cows during robotic milking. Agrarniy vestnik Urala = Agrarian Bulletin of the Urals, 2023, no. 1 (230), pp. 43–54. (In Russian). DOI: 10.32417/1997-4868-2023-230-01-43-54.
Review
For citations:
Sharipov D.R. Evaluation of cows according to the index of nutritional activity in the conditions of robotic milking. Siberian Herald of Agricultural Science. 2025;55(7):71-78. (In Russ.) https://doi.org/10.26898/0370-8799-2025-7-8
Views:
87
JATS XML
Email this article 