Using centers of pressure tracks of sows walking on a large force platform in farm conditions for locomotion classification

Puigdomènech, Lluís; Rosell-Polo, Joan R.; Blanco, Gerardo; Babot, D.

doi:10.1016/j.compag.2017.08.022

Cited by 3 publications

(3 citation statements)

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“…Despite cluster analyses being used in previous research in dairy cows, for example, in breeding studies, 45 46 antibiotic research, 47 studies concerning animal health 48–50 and intensification, 51 as well as in dairy herd performance characteristics, 52 it has not been used in lameness in cows before the current study. However, Puigdomenech et al 53 used the cluster analysis to classify LS in sows. They observed 263 walking sows and grouped them into three clusters, which were created according to variables related to the symmetry and cadence of the sow's locomotion.…”

Section: Discussionmentioning

confidence: 99%

“…They observed 263 walking sows and grouped them into three clusters, which were created according to variables related to the symmetry and cadence of the sow's locomotion. Puigdomenech et al 53 concluded thus, that with clustering the criteria of velocity, symmetry along trajectory and the cadence of the measured signal could enable an evaluation of the sows’ soundness. Corresponding to their findings, the present study allows to draw conclusions from the cluster analysis to the locomotive soundness in cows, using different variables received during hoof trimming.…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of a gait scoring system for cattle by using cluster analysis and Krippendorff's α reliability

2019

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The aim of the presented study was to validate a three-point locomotion score (LS) classifying lameness in dairy cows. Therefore, locomotion of 144 cows was scored and data on claw lesions were collected during hoof trimming. Based on latter data a cluster analysis was performed to objectively classify cows into three groups (Cluster 1–3). Finally, the congruence between scoring system and clustering was tested using Krippendorff’s α reliability. In total, 63 cows (43.7 per cent) were classified as non-lame (LS1), 38 (26.4 per cent) were rated as LS2 with an uneven gait and 43 (29.9 per cent) cows were ranked as clearly lame (LS3). In comparison, hoof-trimming data revealed 64 cows (44.4 per cent) to show no diagnosis, 37 (25.7 per cent) one diagnosis, 33 animals (22.9 per cent) two diagnoses and 10 (7.0 per cent) more than two. Comparing the respective categorisation received by either the cluster analysis or LS in between groups, a high correspondence (79.4 per cent and 83.7 per cent) could be found for LS1 and cluster 1 as well as for LS3 and cluster 3. Only LS2 had partial agreement (21.1 per cent) to cluster 2. However, Krippendorff’s α was 0.75 (95 per cent CI 0.68 to 0.81), indicating a good degree of reliability. Therefore, the results of this study suggested that the presented LS is suitable for classifying the cows’ state of lameness representing their claw diseases.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Evaluation of a gait scoring system for cattle by using cluster analysis and Krippendorff's α reliability

2019

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“…Force platforms were developed to evaluate weight distribution because animals with untreated limb lesions tend to divert weight-bearing to the contralateral limb, which may be secondarily affected by lameness [17]. Non-invasive methods to detect lameness were successfully used in other animals species [18] and in dairy cattle [19,20] but as far as we know, there is a lack of scientific information regarding Zebu cattle, a breed that has a difficult management since it is more aggressive than taurine breeds. Although oligofructose-induced laminitis in cattle has been established, a better characterization of the disease and an evaluation of different diagnostic methods, taking into account cost and efficiency, are warranted.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of infrared thermography, force platform and filmed locomotion score as non-invasive diagnostic methods for acute laminitis in zebu cattle

et al. 2020

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This study aimed to characterize oligofructose-induced laminitis in zebu cattle and comparatively evaluate four different diagnostic methods for laminitis. A total of 29 rumen-cannulated Nelore heifers, weighing 474.5 ± 58.5 kg were used. Laminitis was experimentally induced by intraruminal administration of 0.765 g/kg oligofructose twice daily for three consecutive days, followed by a single dose of 10.71 g/kg oligofructose on the fourth day. The animals were evaluated before administration of the highest dose of oligofructose (basal) and every six hours for up to 24 hours (6, 12, 18, 24 hours) and thereafter, every 12 hours for up to 72 hours (36, 48, 60, 72 hours) post-induction. The following diagnostic methods were used: hoof pain sensitivity test (hoof-testing), locomotion scoring, hoof infrared thermography, and force platform. Diagnosis of laminitis was confirmed after two positive responses to hoof pressure testing. Using a receiver operator characteristic (ROC) curve, we defined the appropriate cutoff for infrared thermography and force plate as 30˚C and < 24%, respectively. From the 29 heifers, 27 developed laminitis (93.1%) which occurred between 24 h to 72 h in the digits from two limbs, with more frequent sensitivity in the lateral digits. Locomotion analysis detected twenty-eight heifers with laminitis and showed that a greater (P = 0.006) number of animals had lameness in two limbs (n = 13; 56%). Using hoof-testing as gold standard for the diagnosis of laminitis the locomotion score displayed 100% sensitivity, 97% specificity and 98% accuracy; infrared thermography showed 96% sensitivity, 63% specificity, and 75% accuracy whilst force plate had 76% sensitivity, 82% specificity and 79% accuracy. This suggests that, for the diagnosis of laminitis in cattle, pain evaluation is more efficient. Considering the difficult to evaluate pain sensitivity in Nelore animals, filmed locomotion score, infrared thermography and force plate methods can be indicated for noninvasive lameness detection in beef farms.

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Instrumented pig gait analysis: State-of-the-art

Neťuková

Duspivová

Tesar

et al. 2021

Journal of Veterinary Behavior

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Using centers of pressure tracks of sows walking on a large force platform in farm conditions for locomotion classification

Cited by 3 publications

References 30 publications

Evaluation of a gait scoring system for cattle by using cluster analysis and Krippendorff's α reliability

Evaluation of a gait scoring system for cattle by using cluster analysis and Krippendorff's α reliability

Evaluation of infrared thermography, force platform and filmed locomotion score as non-invasive diagnostic methods for acute laminitis in zebu cattle

Instrumented pig gait analysis: State-of-the-art

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