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Estrus Detection and Optimal Insemination Timing in Holstein Cattle Using a Neck-Mounted Accelerometer Sensor System.
Jacobo Álvarez1, Antía Acción1, Elio López2
1Unit of Reproduction and Obstetrics, Department of Animal Pathology, Faculty of Veterinary Medicine, Universidade de Santiago de Compostela, Avda. Carballo Calero s/n, 27002 Lugo, Spain.
Sensors (Basel, Switzerland)
|September 13, 2025
Summary
The RUMI collar accurately detects estrus in dairy cows, with optimal artificial insemination timing recommended 11.4-15.5 hours after heat onset. This technology aids in reproductive management.
Area of Science:
- Veterinary Science
- Animal Reproduction
- Dairy Management
Background:
- Estrus detection is crucial for efficient dairy herd reproductive management.
- Accurate timing of artificial insemination (AI) maximizes conception rates.
- Novel technologies like accelerometer-equipped collars can improve estrus detection accuracy.
Purpose of the Study:
- To evaluate the accuracy of the RUMI collar for estrus detection in dairy cows.
- To establish an optimal timing recommendation for AI using the RUMI collar.
- To characterize ovarian blood flow and luteal activity preceding ovulation.
Main Methods:
- Forty-seven cycling dairy cows were monitored using the RUMI collar for estrus detection.
- Ultrasound examinations assessed ovarian and uterine changes every 12 hours.
- Blood samples measured progesterone levels; ANOVA analyzed physiological parameters.
Main Results:
- The RUMI collar showed high accuracy (93.62%), specificity (100%), and sensitivity (90.90%) for estrus detection.
- The optimal AI window was determined to be 11.4 to 15.5 hours post-estrus onset.
- Increased follicular blood flow and decreased luteal activity were observed 48 hours before ovulation.
Conclusions:
- The RUMI collar is a reliable tool for estrus detection in dairy cows.
- The identified AI window can optimize insemination timing for improved reproductive efficiency.
- Further studies are needed to validate conception rates and external factor influences on the AI window.
Keywords:
dairy cattleheat detectionprecision livestock farmingreproductive performanceultrasonography
