The process of milk yield in highly productive cows under robotic milking conditions

Scientific research was conducted at the Tere- zinе Agricultural Enterprise in the Bila Tserkva dis trict of the Kyiv region, where Ukraine’s first dairy farm with 500 cows and robotic milking systems was established. This farm has new spatial planning and technological solutions for the premises, in particular, a width of 36 m and a height of 10.5 m. In this prem ises, 8 robotic milking systems from De Laval are located in the center. Given that such a farm was cre ated for the first time in Ukraine, it was appropriate to study the process of milking cows that come to be milked of their own free will. The article highlights the results of research on the process of milk yield in high-yielding cows under conditions of robotic milk ing depending on age, lactation period, productivity of cows, and an assessment of the quality of milk ob tained under these conditions. It was established that the rate of milk ejection in cows of different lactations depends on their pro ductivity and the period of lactation activity. It in creases with the age of the animals and is the lowest in primiparous cows and the highest in cows of the IV lactation. A similar situation is observed with the average and maximum rate of milk ejection. Studies have also shown that both the average and maximum rate of milk ejection in cows depend on the daily pro ductivity of the animals. At any productivity in cows of the second, third and fourth lactations, the average rate of milk ejection increases compared to the first by 3.4 % and 11.38 %, respectively. It has been es tablished that robotic milking technology ensures the full manifestation of the milk ejection reflex, since regardless of productivity and stage of lactation, the maximum intensity of milk yield in all groups of cows is observed in the first minute of milking. It has been found that the lactation activity of animals under conditions of “motivational milking” is characterized by a slightly longer duration. The highest mass frac tion of fat in milk was found in cows in their second lactation (4.25%), and the lowest (4.12%) in cows in their fourth lactation. The ratio of fat to protein mass is within the physiological norms for animals at 1.24 1.28 to 1.0. Key words: motivational milking, milk yield, milk quality, spatial planning and technological solutions for premises, robotic milking systems.

Authors

Institutions

Publication Details

Journal
Tehnologìâ virobnictva ì pererobki produktìv tvarinnictva
Published
2025-05-22
DOI
https://doi.org/10.33245/2310-9289-2025-194-1-24-31
Primary Topic
Effects of Environmental Stressors on Livestock
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The process of milk yield in highly productive cows under robotic milking conditions

Mariia Lutsenko, V. V. Popkov
1 links
Tehnologìâ virobnictva ì pererobki produktìv tvarinnictva
Effects of Environmental Stressors on Livestock
article

The process of milk yield in highly productive cows under robotic milking conditions

Mariia Lutsenko, V. V. Popkov
article en

Abstract

Scientific research was conducted at the Tere- zinе Agricultural Enterprise in the Bila Tserkva dis trict of the Kyiv region, where Ukraine’s first dairy farm with 500 cows and robotic milking systems was established. This farm has new spatial planning and technological solutions for the premises, in particular, a width of 36 m and a height of 10.5 m. In this prem ises, 8 robotic milking systems from De Laval are located in the center. Given that such a farm was cre ated for the first time in Ukraine, it was appropriate to study the process of milking cows that come to be milked of their own free will. The article highlights the results of research on the process of milk yield in high-yielding cows under conditions of robotic milk ing depending on age, lactation period, productivity of cows, and an assessment of the quality of milk ob tained under these conditions. It was established that the rate of milk ejection in cows of different lactations depends on their pro ductivity and the period of lactation activity. It in creases with the age of the animals and is the lowest in primiparous cows and the highest in cows of the IV lactation. A similar situation is observed with the average and maximum rate of milk ejection. Studies have also shown that both the average and maximum rate of milk ejection in cows depend on the daily pro ductivity of the animals. At any productivity in cows of the second, third and fourth lactations, the average rate of milk ejection increases compared to the first by 3.4 % and 11.38 %, respectively. It has been es tablished that robotic milking technology ensures the full manifestation of the milk ejection reflex, since regardless of productivity and stage of lactation, the maximum intensity of milk yield in all groups of cows is observed in the first minute of milking. It has been found that the lactation activity of animals under conditions of “motivational milking” is characterized by a slightly longer duration. The highest mass frac tion of fat in milk was found in cows in their second lactation (4.25%), and the lowest (4.12%) in cows in their fourth lactation. The ratio of fat to protein mass is within the physiological norms for animals at 1.24 1.28 to 1.0. Key words: motivational milking, milk yield, milk quality, spatial planning and technological solutions for premises, robotic milking systems.

Tehnologìâ virobnictva ì pererobki produktìv tvarinnictva(1 (194))
Bila Tserkva National Agrarian University (UA)
Openalex Percentile: Top 81%
Effects of Environmental Stressors on Livestock
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.