An evaluation of the accuracy of ageing horses by their dentition: can a computer model be accurate?
Abstract: The prediction of the age of a horse from its dentition has been widely accepted as an accurate technique, but recent reports have questioned this belief. In this study the dental features of 434 thoroughbreds of known age were documented and a multiple regression equation was calculated from the 13 dental features which had the highest correlation with true age. The accuracy of the ages assessed by a computer model were compared with the ages estimated by experienced equine clinicians. There was little difference between the accuracy of the computer model and the human observers, and neither method provided an acceptable level of accuracy for ageing horses from their dentition.
Publication Date: 1995-08-05 PubMed ID: 8540206DOI: 10.1136/vr.137.6.139Google Scholar: Lookup
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- Comparative Study
- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
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The research study investigates how accurately the age of a horse can be determined by its dentition, comparing the predictions from a computer model and experienced clinicians with the animals’ real ages. The findings show that neither method provides a satisfactory degree of accuracy.
Research Methodology
- The study revolves around the examination of the dental features of 434 thoroughbred horses of known ages. The examination aimed to correlate certain dental characteristics with the true age of the horses.
- 13 dental features showing the highest correlation with true age were picked, and a multiple regression equation was created based on these.
- In the next step, the predicted ages of the horses were determined using a computer model and then compared with their actual ages.
- Furthermore, experienced equine clinicians estimated the ages of the horses, which were also compared to the actual ages.
Key Findings
- The findings show that there was little difference in terms of accuracy between the predictions made by the computer model and those made by human observers.
- However, importantly, neither method managed to provide an acceptable level of accuracy when determining horse ages based on dental features.
- This implies that both computer modeling and human observation fall short when it comes to accurately ageing horses via dentition.
Significance of the Research
- The research is vital because it challenges the long-held belief that the age of a horse can be accurately predicted through its dentition.
- It provides significant insight into equine dentistry and age-estimation techniques, highlighting that existing methods might not be as accurate as presumed.
- Suggests the necessity for further research and development of more accurate methods to predict the age of horses based on their dental features.
- Findings could lead to improvements in equine healthcare and management, as knowing the accurate age of a horse has numerous applications in these fields.
Cite This Article
APA
Richardson JD, Cripps PJ, Lane JG.
(1995).
An evaluation of the accuracy of ageing horses by their dentition: can a computer model be accurate?
Vet Rec, 137(6), 139-140.
https://doi.org/10.1136/vr.137.6.139 Publication
Researcher Affiliations
- Department of Clinical Veterinary Science, University of Bristol, Langford.
MeSH Terms
- Age Determination by Teeth / methods
- Age Determination by Teeth / veterinary
- Aging / physiology
- Animals
- Computer Simulation
- Dentition
- Evaluation Studies as Topic
- Horses / physiology
- Humans
- Regression Analysis
- Reproducibility of Results
- Tooth / anatomy & histology
Citations
This article has been cited 2 times.- Heales CJ, Summers IR, Fulford J, Knapp KM, Winlove CP. Investigation of changes in bone density and chemical composition associated with bone marrow oedema-type appearances in magnetic resonance images of the equine forelimb.. BMC Musculoskelet Disord 2019 Jul 15;20(1):330.
- Cameron EZ, Setsaas TH, Linklater WL. Social bonds between unrelated females increase reproductive success in feral horses.. Proc Natl Acad Sci U S A 2009 Aug 18;106(33):13850-3.
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