Social facilitation of trotting: Can horses perceive and adapt to the movement of another horse?
Paulo Moreira BogossianJuliana Santos PereiraNathalia Felicio da SilvaAyrton Rodrigo HilgertSarah Raphaela Torquato SeidelJoice FülberCarla Bargi BelliWilson Roberto FernandesPublished in: PloS one (2024)
Exercise intensity is prone to be self-regulated in horses exercising freely. The main drivers include social, feeding and escape behaviors, as well as the operant conditioning. We hypothesized that self-regulated exercise intensity may increase due to the presence of another horse exercising ahead. Seven horses were assigned to a 2x2 crossover trial following treadmill familiarization. Video images of a trotting horse were displayed on the wall in front of the experimental unit (Visual), which was positioned in the treadmill. Physiological and behavioral markers were further compared with a control visual stimulus (Co), comprising a racetrack image without horses. Horses were sampled during a constant load exercise test (1) at rest (baseline), (2) after the warm-up (0 - 10th minute) and (3) after visual stimulation or control (10th- 12th minutes of the SET) to quantify plasma lactate and glucose concentration, heart rate, head angle, as well as behavioral markers. Following visual stimulation, heart rate (130.8 ± 27.8 b.p.m.) was higher than control (84.7 ± 15.1 b.p.m., P = .017), as was plasma lactate (Visual - 5.28 ± 1.48 mg/dl; Co -3.27 ± 1.24 mg/dl, P = .042) and head angle (Visual - 36.43 ± 3.69°; Co -25.14 ± 4.88°, P = .003). The prevalence of "ears forward" behavior was also higher following Visual (100% - 7/7) than Co (14% - 1/7, P = .004). These results suggest that visual stimulus (1) was safe and well tolerated and (2) prompted the anaerobic lactic pathways and shifted the behavior to a vigilant state. In conclusion, horses were able to perceive and adapt to a social environment. Our findings validate the use of social facilitation of trotting to encourage horses to move forward avoiding the use of the whip.
Keyphrases
- heart rate
- high intensity
- healthcare
- heart rate variability
- blood pressure
- mental health
- physical activity
- clinical trial
- deep learning
- transcription factor
- randomized controlled trial
- type diabetes
- resistance training
- high resolution
- machine learning
- wastewater treatment
- risk factors
- mass spectrometry
- body composition
- blood glucose
- sewage sludge
- optic nerve
- optical coherence tomography