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Ahmadinejad, M. (2008). Influence of Sex and Age on Color discrimination in caspian Pony. In IESM 2008.
Abstract: Although an early and influential review led to the often-cited conclusion that color discrimination is rare among mammals, more recent findings suggest that it is actually widespread. According to jacobes, all non-nocturnal mammalian species that have adequately exmined show some color vision capacity. Data on the presence and characteristics and the influence of sex and age on color vision in the horse, remain spares and non in Caspian pony. Eight Caspian ponies were presented with a series of two-choice color vs. grey discrimination problems. One mare pony was eliminated due to traumatic injury to her eye. Experiments were performed in a box of 3 * 3 meter containing a wall with two translucent panels that were illuminated from behind by light projected through color or grey filters to provide the discriminative stimuli. Ponies were first adopted to the stall (box) with two panels in it and then learned to push one of the panels in order to receive the food rewards behind positive stimuli in an achromatic light-dark discrimination task. The ponies were then tested on their abilities to discriminate between grey and four individual colors; red; 617nm, yellow; 581nm, green; 538nm and blue 470 nm. The answer to the question \“do the ponies see color\” was yes but sex and age had no influence on the color discrimination of the ponies .
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Aerts, J. - M., Gebruers, F., Van Camp, E., & Berckmans, D. (2008). Controlling horse heart rate as a basis for training improvement. Computers and Electronics in Agriculture, 64(1), 78–84.
Abstract: Equine training methods, and consequently, performance times have improved little since the last decades. With advances in measuring signals on-line by means of several new technologies and analytical procedures, and processing these signals immediately with strong and compact processors, it may be possible to develop new training methods. In this research, the objective was to explore the possibilities of using modern model-based algorithms to control the heart rate of horses (bpm) on-line by means of the control input running speed (km/h). Forty-five experiments with five horses and four riders were carried out to generate measurements of physiological status during running. The dynamical characteristics of each horse were quantified using linear discrete transfer function models. The dynamic response of heart rate to step changes in running speed were accurately described. In 90% of the cases, a first-order model gave the best fit. For 69% of the models, the r2 was higher than 0.90 and for 34% of the models, the r2 was even higher than 0.95. In a next step, the model-based algorithm was evaluated by controlling cardiac responses of two horses (horses 2 and 4) to a pre-defined trajectory. The model parameters were kept constant. On average, the error between the defined target trajectory in heart rate and the actual controlled heart rate ranged between 0.2 and 1.4 bpm for the whole target heart rate trajectory. During the steady-state part of the trajectory the average error was maximum 1.1 bpm. In the transient from one steady-state heart rate to another level, the error could increase on average up to 5 bpm. In the future, the combination of on-line measured bioresponses with real-time analysis can be used for adjusting the work load of the horse, during training, directly to the immediate needs of horse (welfare) and trainer (performance).
Keywords: Heart rate; Horse; Model predictive control; Transfer function model
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