Literature DB >> 32303302

Should We Agree to Disagree? An Evaluation of the Inter-Rater Reliability of Gait Quality Traits in Franches-Montagnes Stallions.

Annik Imogen Gmel1, Gerhard Gmel2, Rudolf von Niederhäusern3, Michael Andreas Weishaupt4, Markus Neuditschko3.   

Abstract

Gait quality, that is, the way horses move according to functional and aesthetic principles, englobes many traits that are scored by experts during breeding competitions. The experts can score a trait on a subjective valuating (SV) scale or on a linear profiling (LP) scale representing the biological extremes of the population. However, the reliability of the appraisal of gait quality traits has not been extensively evaluated. In this study, seven breed experts appraised the walk and trot quality of 24 Franches-Montagnes stallions presented in hand on a sand track. Inter-rater reliabilities of six traits (five SV and one LP) at the walk and eight traits (five SV and three LP) at the trot were estimated with intraclass correlation coefficients (ICCs). The inter-rater reliabilities were poor (ICC < 0.50). The scale anchoring varied between experts, and the variance of scores was low. There were no systematic differences in inter-rater reliability between LP and SV traits. Future studies should determine whether the inter-rater reliabilities may be increased by a more precise definition of the scores within each trait to improve the absolute agreement between experts, by a more uniform scale anchoring between experts, and by decreasing the number of scale items. However, considering the inherent limitations of the human eye in observing high-speed movement, the use of a field-applicable kinematic measurement system may support breeding experts in the appraisal of gait quality traits in the future.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breeding; Horse; Intraclass correlation coefficient; Linear profiling; Scoring

Mesh:

Year:  2020        PMID: 32303302     DOI: 10.1016/j.jevs.2020.102932

Source DB:  PubMed          Journal:  J Equine Vet Sci        ISSN: 0737-0806            Impact factor:   1.583


  3 in total

1.  Using Different Combinations of Body-Mounted IMU Sensors to Estimate Speed of Horses-A Machine Learning Approach.

Authors:  Hamed Darbandi; Filipe Serra Bragança; Berend Jan van der Zwaag; John Voskamp; Annik Imogen Gmel; Eyrún Halla Haraldsdóttir; Paul Havinga
Journal:  Sensors (Basel)       Date:  2021-01-26       Impact factor: 3.576

2.  Gait quality scoring data of Franches-Montagnes stallions at walk and trot on a treadmill by experts of the breed and their reliability.

Authors:  Annik Imogen Gmel; Gerhard Gmel; Michael A Weishaupt; Markus Neuditschko
Journal:  Data Brief       Date:  2022-04-01

3.  Estimates of Genetic Parameters for Shape Space Data in Franches-Montagnes Horses.

Authors:  Annik Imogen Gmel; Alexander Burren; Markus Neuditschko
Journal:  Animals (Basel)       Date:  2022-08-25       Impact factor: 3.231

  3 in total

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