Deterministic models' developed for the jumping horse indicated the importa
nt factors involved when jumping an obstacle.(2) SVHS video recordings were
obtained of 31 untrained horses (age: 3-5 years, height: 164.7 +/- 4.5 cm)
jumping loose over a fence 1 m high by 0.5 m wide. The horses were designa
ted to either a good group or a poor group based on a qualitative evaluatio
n; good horses (n = 18) cleared the fence with ease, and poor horses (n = 1
3) consistently hit the fence. Video sequences were digitized to provide ki
nematic data on the horses' center of gravity (CG) and carpal and tarsal an
gles. Twenty kinematic variables were examined from the approach to the lan
ding. Analysis of Variance (ANOVA) revealed significant between-group diffe
rences for the horizontal velocity of the last approach stride (Good: 5.77
+/- 0.80 m.s(-1); Poor: 6.42 +/- 0.95 m.s(-1) p = 0.046). Significant diffe
rences were found in the relative carpal angles at take off (Leading limb:
Good: 1.02 +/- 0.19 rad, Poor: 1.25 +/- .0.28 rad; p = 0.010; Trailing limb
: Good: 0.92 +/- 0.21 rad, Poor: 1.06 +/- 0.15 rad; p = 0.046). The height
of the CG over the center of the fence was also a significant variable that
differed between the groups (Good: 1.83 +/- 0.08 m; Poor: 1.71 +/- 0.13 m;
p = 0.002). Finally the horizontal velocity of the landing was significant
(Good: 5.26 +/- 0.92 m.s(-1); Poor: 6.27 +/- 0.84 m.s(-1); p = 0.004) alon
g with the angle of the CG to the ground at landing (Good: -0.45 +/- 0.08 r
ad; Poor: -0.38 +/- 0.07 rad). The velocity and CG variables which distingu
ished good and poor horses are likely to be strongly influenced by a rider;
therefore, it is unlikely that these data alone could be used to predict e
lite jumping horses. The carpal angle data, however, may indicate a certain
natural tendency by the young horses in the good group to keep their legs
clear of the fence.