Lou, Maria E., Porter, Samantha T., Massey, Jason S. , Ventura, Beth, Deen, John and Li, Yuzhi (2022) The Application of 3D Landmark-Based Geometric Morphometrics towards Refinement of the Piglet Grimace Scale. Animals, 12 (15). p. 1944. ISSN 2076-2615
Full content URL: https://doi.org/10.3390/ani12151944
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Item Type: | Article |
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Item Status: | Live Archive |
Abstract
Proper methods of assessment to objectively identify pain are essential for welfare improvements of piglets undergoing surgical castration on commercial farms. The Piglet Grimace Scale (PGS) is used to identify changes in facial expressions caused by acute pain in piglets undergoing tail docking and castration. However, subjective scoring methods are a concern for the validation of the PGS. The objectives of this study were to evaluate and refine the PGS through 3D landmark geometric morphometrics. Male piglets (n = 88) were randomly allocated to one of two treatments: castration and sham-castration. Piglet facial images were taken at four time points (before treatment, immediately post-treatment, 1 h post-treatment, and 4 h post-treatment) using a photogrammetry rig. Images were scored by four raters using five facial action units (FAUs): orbital tightening, ear position, temporal tension, lip contraction, and nose bulge/cheek tension. Three-dimensional facial models were generated and landmarked denoting 3 FAUs (orbital tightening, lip contraction, and
nose bulge/cheek tension). Results suggest that orbital tightening and ear position may be reliable FAUs for the PGS. However, neither the PGS nor 3D landmark-based geometric morphometrics were able (both p > 0.10) to reliably identify facial indicators of pain in piglets undergoing castration.
Keywords: | castration, pain, photogrammetry, animal welfare |
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Subjects: | D Veterinary Sciences, Agriculture and related subjects > D300 Animal Science D Veterinary Sciences, Agriculture and related subjects > D328 Animal Welfare |
Divisions: | College of Science > School of Life Sciences |
ID Code: | 50375 |
Deposited On: | 12 Aug 2022 09:27 |
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