The introduction of automated milking systems nearly 30 years ago raised a key question: When should cows be milked?
Today, data generated by these systems continues to deepen our understanding of cow behavior and guide decisions that improve both productivity and animal welfare. At the same time, consumers increasingly expect dairy production to prioritize the well-being of cows and farm employees.
Automated milking offers a clear advantage by reducing labor demands associated with fixed milking schedules. Advances in teat‑cup attachment have made the process accurate, consistent and dependable.
Efficient milk production depends on minimizing disruptions to a cow’s daily routine. Research shows that high‑producing cows require substantial time for eating, drinking and resting, leaving fewer than four hours per day for activities such as milking or idle standing. High stocking densities can further elevate stress, particularly for subordinate cows. As a result, free‑cow‑traffic systems are often preferred in automated milking barns.
Unlike guided-flow-type barns, in free-flow barns cows have access to all needs at all times. Free flow describes the ability of each cow to be free to choose when she lies down, when she eats, drinks and finds her way to the robot for milking. There are multiple options when thinking about non-free-flow barns, but typically they will use some sort of separation gate to make selections prior to the robot. In free-flow barns, cows are free to visit the robot at any time. If they do not have permission to milk, they will be sent out without milking, commonly called a refusal. In the guided or forced-flow barn, the preselection gate decides if a cow has permission or not and guides her to the location of choice on this information. In the case of the common feed-first design, the cow would be routed to the feed fence with the only way back to the lying area being through the robot. In a milk-first setting, the cow would be directed to a segregation area near the robot with the only way out being the robot.
However, free‑flow systems require learning –especially for first‑lactation cows. This may result in the need for occasional fetching, which can serve as a valuable performance indicator rather than a drawback. Elevated fetch numbers should prompt evaluation of:
- Available free time: Low free time, particularly below 8%, can limit robot access for lower‑ranking cows.
At all times in automated milking systems, close evaluation of which cows are in need of milking is critical. When free time gets low, they become even more important. We often see significant opportunities here to gain free time by milking late-lactation cows less, allowing the capacity of the udder to help allow similar production per cow with significantly fewer milkings per day, freeing up robot time for other cows in need of milking.
- Robot attraction: Adequate, palatable concentrate feed encourages voluntary visits.
Balancing the ration at the feed fence at a level below average production allows the robot to precisely add the required additional energy while the milking takes place. This allows a targeted nutrition strategy that has multiple benefits. Not only do the cows have encouragement to visit the robot on their own, lowering or even completely removing the stress of confined spaces prior to milking, it also allows the targeted nutrition to reach only the cows that need it at the level that individual cow needs at this time in her lactation.
- Pen disruptions: Tasks such as bedding, scraping or handling should be managed to avoid interrupting cow flow.
Strategies around cow touches can help elevate the natural barn rhythms to even higher levels. Developing pen actions, or plays, that reduce time in the pen while still delivering the actions needed to support high-production dairy cattle requires careful planning designed specifically around barn layout and labor. Careful planning, reviewing and revising leads to continuous improvements that yield higher efficiencies for both cows and people in barns with automated milking systems.
Research from the 2016 Journal of Dairy Science showed a significant advantage in milk production on a per-cow basis when free-flow traffic was compared to a forced or guided-flow system. When comparing free and guided traffic systems, this production difference indicates that free‑flow designs better support cows in reaching their individual production potential. Continuous data collected at each milking allows the free-flow system to reveal how effectively the environment meets each cow’s needs. These insights help producers identify strengths and areas for improvement.
Ultimately, enabling every cow to reach her full potential is a shared goal for both producers and consumers. Data‑driven free‑flow systems play a key role in achieving this goal.
