Factors associated with increased milk production for automatic milking systems

Area of Science:

• Dairy Science
• Agricultural Engineering
• Animal Husbandry

Background:

• Automatic milking systems (AMS) are gaining global adoption in dairy farming.
• Understanding factors influencing AMS milk yield is crucial for optimizing dairy operations.
• Previous research has explored various aspects of AMS but a comprehensive analysis of production drivers is needed.

Purpose of the Study:

• To identify risk factors influencing milk production per cow per day and per robot in North American dairy farms using AMS.
• To analyze the impact of system design (free vs. forced traffic) and farm type (retrofitted vs. new build) on AMS productivity.

Main Methods:

• Analysis of data from 635 North American dairy farms utilizing automatic milking systems.
• Application of multivariable generalized mixed linear regression models to identify significant factors and interactions.
• Comparison of milk production metrics based on traffic systems, robot density, and farm construction type over time.

Main Results:

• Free traffic systems were associated with higher milk production per cow and per robot compared to forced traffic systems.
• Pens with two robots demonstrated increased production per robot compared to pens with a single robot.
• Retrofitted farms showed lower initial production, which improved over time, eventually matching newly built farms.

Conclusions:

• Farm management strategies, including traffic system design and robot allocation, significantly impact AMS efficiency.
• While retrofitted farms experience an initial production dip, they achieve comparable yields to new builds long-term.
• These findings provide valuable insights for producers considering AMS adoption or aiming to maximize existing system performance.