| Issue |
BIO Web Conf.
Volume 238, 2026
VI International Scientific and Practical Conference “Ensuring Sustainable Development in the Context of Agriculture, Energy, Ecology and Earth Science” (ESDCA 2026)
|
|
|---|---|---|
| Article Number | 01032 | |
| Number of page(s) | 7 | |
| Section | Agricultural Sciences | |
| DOI | https://doi.org/10.1051/bioconf/202623801032 | |
| Published online | 10 June 2026 | |
Lactation activity of first-calf cow’s jersey cows in conditions of robotic milking
Kazan State Agrarian University, Kazan, 420012, Russia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The paper presents an assessment of the lactation activity of Jersey first-calf cows of three lines (Glenmore 157911 (n=9), Jester 534585 (n=30) and Observer 553236 (n=26)) to the conditions of robotic milking. Milk productivity, milking frequency, number of milking attempts, time spent in the milking box, milk flow rate, and uniformity of milk yield were evaluated. It was found that cows exhibit two peaks of milking activity: morning (6:00-8:00, 13% of milkings) and evening (18:00-20:00, 13.5% of milkings). As the interval between milkings increases, the rate of milk production decreases from 0.86 kg/h (with an interval of 240-360 minutes) to 0.66 kg/h (601-720 minutes). Daily milk yield ranged from 15.7 to 16.3 kg, with a milking frequency of 2.6-2.7 times per day. Cows of the Observer line outperformed their peers from other lines in terms of milk flow rate (2.79 kg/min vs. 2.50-2.62 kg/min), had the fewest unproductive milking attempts (6.1 vs. 6.7-8.5), and spent the least time in the milking box (5.1 min). Based on a set of criteria for suitability for robotic milking (number of voluntary milkings, milking efficiency, milking activity, and milk yield uniformity), the highest proportion of animals meeting the selection requirements was found in the Observer line (50.7%), and the lowest in the Glenmore line (40.3%).
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

