Abstract
IntroductionThe study of kinematic patterns of young jumping horses can help to improve selection. This study was carried out to predict free jumping success of young horses using logistic regression to model jumping kinematic variables.Methods108 untrained young Brazilian Sport Horses of both genders were studied. Reflective skin markers were used to identify anatomical reference points. Five free jumps over a vertical obstacle (with a height of 60, 80 and 105 cm for age classes 22–25, 29–32 and 36–39 months, respectively) were recorded. A 100 Hz camera was used, and images were analyzed using Simi Reality Motion Systems®. Successful (n = 1,030) and unsuccessful (n = 200) jumps were analyzed and the following kinematic variables were preselected by principal components analysis and then used as independent variables: last stride length prior to jumping, jumping velocity, take‐off distance, withers displacement at jumping, forelimb height at jumping, vertical distance between scapulohumeral and metacarpophalangeal joints, scapulohumeral, radial‐metacarpal, tibiometatarsal and withers‐fetlock angles.ResultsThe effects of take‐off distance, forelimb height at jumping and jumping velocity on the jumping result were significant (P = 0.0091). An increment of one centimeter in take‐off distance and forelimb height led to an increase in the probability of success by 2.6% and 10.6%, respectively. An increase of one meter per second in jumping velocity led to a reduction in the probability of success by 27.8%.ConclusionsJumping success is influenced by take‐off distance, jumping velocity and forelimb flexibility. Selection of young horses for superior jumping capacity can be aided by kinematic analysis, which may shorten training time and improve performance.Ethical Animal ResearchThe research was approved by UFMG Ethics Committee on Animal Research: 267/2008. Explicit owner informed consent for participation in this study is not stated. Sources of funding: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Fundação de Amparo à Pesquisa do estado de Minas Gerais (FAPEMIG). Competing interests: none.
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