A treadmill is an important tool in the equine analysis of gait, lameness, and hoof balance, as well as for the evaluation of horse rehabilitation or poor performance including dynamic endoscopy. Before all of these uses, horses have to be habituated to a treadmill locomotion. We used principal component analysis to evaluate the relationship between aspects of the horse’s temperament and emotional response, and progress in the behavioral habituation to a treadmill. Fourteen horses were tested, by the same familiar handler, using the novel object test, the handling test, and both positive and negative emotional response tests. Then, four stages of gradual habituation of the first work on a treadmill were conducted. Each time, the horse’s behavior was filmed. Data obtained from ethograms and heart rate measurements were tested. Four principal components were identified in examined horses: “Flightiness”, “Freeziness”, “Curiosity”, and “Timidity”. Flightiness was connected with nervousness, agitation by new objects, and easy excitability, and gradually decreased of features during habituation. Timidity was associated with a lack of courage and stress in new situations, and those features strongly increased when the treadmill was introduced. Freeziness and Curiosity features showed strong stability throughout the whole habituation. The results of this study provide evidence for a connection between temperament, emotional response, and habituation process in a horse.

The aim of this study was to identify the effect of training stage, height of the obstacle and successive number of jump on young stallions' linear jumping parameters with and without rider. Investigations were based on filming of free jumping and jumping with rider during regular stallion work on the 11-month performance test. Horses jumped through the spread obstacle (doublebarre) with constant width of 90 cm and heights of 100, 110 and 120 cm. Taking-off distance, landing distance, heights of legs above obstacle and bascule of horse silhouette were measured using manual programme for video image analysis. Almost all parameters measured with and without rider were training dependent. The only parameters not affected by training were heights of hind limbs above obstacle, which were also not affected by height of obstacle in observations of more trained horses by free jumping and less trained horses with rider. Jumping parameters were not influenced by successive number of the jump by all parameters with rider and parameters of length of the jump in free jumping. On the basis of received results, it could be concluded that evaluation of jumping skills in free jumping and jumping with rider should be based on different criteria.

The application of commercial inertial measurement units has become popular in equestrian sports, which may help to eliminate a gap of knowledge concerning many aspects of biomechanics in training. This study employed the Seaver IMU system to measure jumping characteristics of horses with differing age-competition experience during regular training. It was hypothesized that experience level results in lower variability of jumping parameters. Twelve Warmblood horses aged 5 to 6 years with/without competition experience and 7 to 11 years with experience were investigated during regular training in 2 training centers. Consistent number of 10 successive jumps of the individual chosen course of vertical and spread obstacles (5th -15th) were analyzed and the following parameters were measured: jump height, reserve and length; taking off angle, acceleration, velocity; jump spatial shifting, energy by landing, and frequency of approach strides. Preliminary analysis confirmed comparable physiological effort in 2 training center based on heart rate, distance and duration measurements. The multifactorial analysis of variance for biomechanical data included in the statistical model the random effect of horse and fixed effects of training center, age-experience group, successive jump number, obstacle type and height. Four parameters were significantly different between the younger, inexperienced group and experienced younger and older horses: height of jump (P = .01), frequency of approach strides (P = .005), acceleration of taking off (P = .01), and energy by landing (P = .0013). Standard errors for almost all the parameters reached higher values for the youngest, inexperienced horses. Variability of jumping parameters was lower for experienced groups of horses, suggesting higher precision on obstacle courses.

The aim of this study was to analyze the influence of factors on the results of 100-point judging systems, linear scoring and basic measurements, as well as differences between systems for dressage and jumping warmblood mares. The research covered official data on 1547 warmblood mares. Analysis of variance and phenotypic correlations (Pearson and partial) were used. The analysis showed that sport type significantly influenced 1/3 of biometric measurements, 2/9 traits on the 100-point system and 7/37 of linear scored traits. The influence of horse type evaluation is more significant in linear scoring than in the 100-point evaluation, which provides an argument for using the first system in breeding. In the linear evaluation for warmblood mares grouped as jumping or dressage, the most significant differences (p < 0.001) were noted between the traits of shoulder position, line of the loins and shape of the croup. In the point-based evaluation, differences (p < 0.05) were found in forelimbs and walking, as well as chest circumference in basic measurements. None of the traits in the two evaluation systems is identical to any other (r > 0.8). The comparison of systems showed meaningful correlations only between general traits. The differences between sport types of warmblood mares were smaller than expected. More objective traits should be discovered to increase accuracy in discriminating between horse types.

The evaluation of horse conformation is a changeable characteristic and knowledge of its character is essential in horse breeding. The effect of the age was investigated based on the analysis of a subjective evaluation of eight conformation and movement traits according to the 70 points scale of registered 857 Polish Trakehner. The analysis of variance included fixed effects of sex (mares and stallions), age (up to 1 year, yearlings, 2-year-old, 3-year-old and older) and the kind of breeder (private/national) and the random effect of the sire. The effect of the sire was statistically significant for all traits. The effect of the sex was significant only for the movement traits – the walk and canter in stallions reached higher notes. The effect of the kind of breeder was also statistically significant but only for the movement traits. The considered effect of the age was the most surprising result as it was statistically significant for all traits, but the only differences between age classes were found between very young horses (up to 1 year) and all other groups. The phenotypic correlations between traits suggest that traits such as overall impression, type, trunk and limbs (feet and legs) are overvalued in the youngest group of horses.

The genetic background of osteochondrosis dissecans (OCD) has been studied for years, but the compatibility of the position of markers has not been reached between results, probably because of unknown additional effects that may influence the results, such as definition of the trait, gene–environmental interactions and the dynamics of trait development. The aim of the study was to identify single nucleotide polymorphisms (SNP) associated with the occurrence of OCD in Polish Warmblood sport breed horses in two different stages of training. Warmblood horses (87 stallions and 114 mares) were phenotyped and genotyped. Horses were X-rayed twice, at the beginning and at the end of the tests (100 days for stallions and 60 days for mares). Ten images per horse were collected using digital equipment for the fetlocks, stifles and hocks. The DNA was genotyped using the Illumina Neogen Equine Array. Statistical analysis included the Cochran–Armitage test and logistic regression assuming an additive model of inheritance. The Monte Carlo Markov Chain method was also applied to determine heritability coefficients. Nineteen and twenty SNP were identified that were significantly associated with OCD using logistic regression at the first and second stage of training, respectively. Four SNP were significant for both stages of training. The estimation of the heritability of a horse’s OCD status does not achieve the same level at different stages of training. The study on the genetic background of horse OCD should include as much detailed information on their training as possible.