Weight prediction from linear measures of growing Thoroughbreds.

The study involves developing a predictive mathematical model to estimate the weight of growing Thoroughbred foals based on their body and leg measurements. The goal of the weight prediction model is to help equine caregivers optimize the growth and athletic potential of these foals, minimizing risks associated with abnormal growth rates.

Methodology

• The research involved the collection of data from 153 foals with the goal of establishing predictor equations for their weight based on linear measurements. Their measurements were mainly on the trunk and the legs.
• The measurements considered in this research were girth or the circumference of the body (G), carpus or wrist-like part of the forelimb circumference (C), body length (B), and forelimb length (F).
• The optimal mathematical model was then compared with previously published equations utilizing a separate set of data from 22 foals.

Results

• The research found that a two-step, ‘broken line’, model provided the most accurate and precise weight predictions.
• This model calculates the volume of the body and leg (V(t + l)) from linear measurements (G, C, B and F) and then uses this volume to predict weight depending on whether the calculated volume is less than, or equal to or greater than, 0.27 cubic meters (m3).
• This broken line method was deemed more accurate and reliable than three other previously published formulas for estimating the weight of young Thoroughbreds.

Conclusion

• The study concludes that the broken line model is highly beneficial for equine professionals due to its greater accuracy, precision, and convenience.
• Accurate weight estimation using morphometric (size and shape) equations requires consideration of changes in body shape and density over time, which is why the ‘broken line’ model is effective.
• Additionally, the inclusion of leg volume in the broken line model further contributes to its superior predictive capability.