A New Tool to Select Your Most Efficient Cows For the Robot

A producer may wonder which cows in his herd are the most efficient at the robot. This is not always a simple answer. This data is available in one of many milking robot reports, but few producers consult it because it is not always easy to find. As mentioned in our April article, Lactanet will soon be launching a new tool that will allow you to rank your cows according to their robot efficiency and make these observations quickly.

Does the Ideal Cow for Robotic Milking Exist?

First, let’s go back to the definition of efficiency in robotic milking: It is the number of kilograms of milk collected for the total time the cow is in the robot. Figure 1 shows us the segmentation of the time a cow uses in the robot at each milking.

FIGURE 1. Illustration of the time spent in the robot by the cows

The time a cow spends using the robot can be separated into two parts: milking time and preparation time. The efficiency of the milking time can be further characterized by the milking speed. By measuring the kilograms of milk produced per minute in the robot, we can identify cows that are ideal for robotic milking. These are cows that have a higher-than-average milking speed and have a good temperament and udder conformation. These last two elements make the preparation time faster than average.

Adjusted Milk Value

The new Lactanet report adds an economic value to robot milking efficiency:

Milk components + component price + Amount of milk produced/minutes at the robot = Value of milk/minute at the robot

Roger Cue, PhD, from McGill University, did a statistical analysis of the daily data from the herds involved in the project to develop the robot efficiency tool (see the article “Milking Robots, Where Efficiency meets Profitability“). It was found that the value of milk per minute in the robot does not vary much for mature cows but varies much more for first lactation cows. An equation has been developed to adjust the milk value of all cows based on 2nd lactation and 150 days in milk (this corresponds to Standard Milk found on most Lactanet reports). Obviously, cows in first lactation will benefit the greatest from this adjustment, especially those in early lactation. Here are three examples:
Lactation number Days in milk Value of milk/minute in the robot Adjusted (Standard)Milk value/minute in the robot
Cow A 1 62 $ 1,01 $ 1,32
Cow B 1 264 $ 1,25 $ 1,37
Cow C 5 41 $ 1,27 $ 1,35

What Influences the Value of Standard Milk per Minute in the Robot?

Milking speed and preparation time are the two main factors that influence the Standard Milk value per minute in the robot. If a cow is not efficient, it is because her preparation time is too long, or the milking speed is slow. Often, both factors are involved.

The kilograms of milk per minute in the robot also have a genetic component. A Norwegian team has established its heritability at 0.29 (B. Heringstad, August 20141).  In other words, this means that the kilograms of milk produced per minute by the daughters in the robot is 29% influenced by the genetics of the parents, and that environmental factors will have a 71% impact on this performance.

If you want to improve the efficiency of robotic milking, you should choose the most efficient cows as mothers of future breeding heifers. This means that if you want to increase your kilograms of fat production per robot in the next few years, it will be easier to do so with cows that are more efficient. The total milking time available per robot is about 1180 minutes per day. If the average herd efficiency goes from 1.80 kg to 2.0 kg of milk per minute in the robot over the next few years, you will be able to produce 236 kg more milk per robot, and 9.7 kg more fat per robot with an average fat test of 4.1%. That’s an increase in income with the same assets.

When and How to Access the Report?

This new tool will be available in the next few months in the reports section of MySite for producers using robotic milking under milk recording. A help menu will be provided with the report to give you a hand in interpreting the results. Lactanet’s robot advisors can also guide you in making the most of this tool. 

Be sure to check our website, social networks, and Dairy Knowledge for more information.

1 B. Heringstad and H. K. Bugten, 2014, Genetic Evaluations of Milkability in Norwegian Red Based on Data from Automatic Milking Systems


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By Gervais Bisson, agr.
A graduate in agronomy from Université Laval, Gervais has over 22 years of experience in dairy cattle feeding before joining our team. As an expert in dairy production - milking robots, he actively contributes as a consultant and author to the advancement of the dairy production industry.