Measuring the behavior of dairy cows milked by robot:
automatically recorded data

M. Speroni

Dairy Cattle Section, Animal Production Research Institute, Cremona, Italy

 

The use of automatic milking systems (AM-systems) is increasing. The main attraction of AM-systems is that they allow farmers to increase productivity and improve their daily job routines. Milking by robot affects all aspects of farm management, and the daily life of the cow. Cows can go voluntarily to the milking station throughout the day and night, with the result that milking frequency and milking interval lengths are variable in time for each cow and between cows, depending on individual cow productivity, temperament, attitude and health, as well as on the traffic system and other managerial and environmental factors. Frequency of milking, milking interval length and the time of day when milking occurs all influence milk yield and composition, and the capacity and productivity of the system. To optimise machine utilisation, farmers often adopt some form of milking frequency stimulation, such as one-way traffic, feeding rewards, playing music, or drinking restrictions along the path. Thus, the willingness and spontaneous behavior of cows milked by robot are partially controlled by farmers’ behaviors.

The AM-systems are equipped with sensors and technical solutions to check animals, machine functioning and the milking process. The personal computer managing an AM-system automatically records and processes many readings every day, every milking, and for each udder quarter milked. This enormous amount of data can be useful for investigations into dairy cattle behavior. The data concern animal behavior, animal feeding and milk properties, and thus animal behavior can be related to health conditions and system characteristics.

Behavior-related computer data stored in AM-system databases usually include:

Feeding data commonly include:

Data from milk usually include:

Data from milk make it possible to monitor the udder and overall health of individual cows. Data regarding each udder quarter milking are stored in a database after each milking. AM-systems are equipped with software that analyses the stored data to obtain expected values for each milking, compares them with actual data, and then produces an alarm list.

On our experimental farm, we have been milking fifty Italian Friesian cows by a commercial automatic milking system (VMS, DeLaval) since February 2001. Preliminary results obtained using a database automatically stored by the VMS to study cow behavior will be presented. We will describe trends during the day and the year regarding the number of visits to the milking station, the number of milkings and the number of passages through the selection gate, in relation to parity, lactation stage, milk yield, etc.


Paper presented at Measuring Behavior 2002 , 4th International Conference on Methods and Techniques in Behavioral Research, 27-30 August 2002, Amsterdam, The Netherlands

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