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Technical note: Monitoring grazing bites and walking activity with pedometers.

¹National Agriculture and Food Research Organization, Hokkaido Agricultural Research Center, Toyohira, Sapporo, 062-8555, Japan. umemura@affrc.go.jp

Journal of Dairy Science

|December 25, 2012

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Pedometers accurately measure cow grazing bites, showing strong linear relationships with visual counts. Calibration is essential for precise bite measurement, distinguishing grazing from walking behaviors.

Area of Science:

Animal Science
Agricultural Technology
Behavioral Ecology

Background:

Accurate monitoring of livestock feeding behavior is crucial for optimizing animal welfare and farm management.
Traditional methods for quantifying grazing bites, such as visual observation, are labor-intensive and can be subjective.
Technological advancements offer potential for automated and objective measurement of animal activities.

Purpose of the Study:

To evaluate the accuracy of three types of pedometers in measuring the number of grazing bites in cows.
To assess the influence of rumination and walking on pedometer readings.
To determine if pedometers can differentiate between grazing and walking behaviors.

Main Methods:

Three pedometer types were attached to cow neck collars and data logged at 1-hour intervals for up to 10 days.

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Pedometer-recorded bite counts were compared with visually observed grazing bites.

The study analyzed the linear relationship between pedometer values and observed bites and steps, and examined movement patterns using a 2D accelerometer.

Main Results:

Pedometer readings showed a strong linear correlation (r > 0.9) with visually observed grazing bites, unaffected by rumination.
All pedometers captured circadian and day-to-day variations in grazing.
Pedometer values also correlated linearly (r > 0.9) with walking steps, with grazing bites significantly outnumbering walking steps.

Conclusions:

Pedometers are viable tools for measuring cow grazing bites, but require calibration for accurate quantification.
Analyzing movement data, particularly the difference in back-forth versus right-left movements, can help distinguish grazing from walking.
Neck collar pedometers offer a promising method for automated monitoring of cattle feeding behavior.