Literature DB >> 27939543

The cow pedogram-Analysis of gait cycle variables allows the detection of lameness and foot pathologies.

M Alsaaod1, M Luternauer2, T Hausegger3, R Kredel3, A Steiner2.   

Abstract

Changes in gait characteristics are important indicators in assessing the health and welfare of cattle. The aim of this study was to detect unilateral hind limb lameness and foot pathologies in dairy cows using 2 high-frequency accelerometers (400 Hz). The extracted gait cycle variables included temporal events (kinematic outcome = gait cycle, stance phase, and swing phase duration) and several peaks (kinetic outcome = foot load, toe-off). The study consisted of 2 independent experiments. Experiment 1 was carried out to compare the pedogram variables between the lateral claw and respective metatarsus (MT; n = 12) in sound cows (numerical rating system <3, n = 12) and the differences of pedogram variables across limbs within cows between lame cows (numerical rating system ≥3, n = 5) and sound cows (n = 12) using pedogram data that were visually compared with the synchronized cinematographic data. Experiment 2 was carried out to determine the differences across limbs within cows between cows with foot lesions (n = 12) and without foot lesions (n = 12) using only pedogram data. A receiver operator characteristic analysis was used to determine the performance of selected pedogram variables at the cow level. The pedogram of the lateral claw of sound cows revealed similarities of temporal events (gait cycle duration, stance and swing phases) but higher peaks (toe-off and foot load) as compared with the pedogram of the respective MT. In both experiments, comparison of the values between groups showed significantly higher values in lame cows and cows with foot lesions for all gait cycle variables. The optimal cutoff value of the relative stance phase duration for identifying lame cows was 14.79% and for cows with foot lesions was 2.53% with (both 100% sensitivity and 100% specificity) in experiments 1 and 2, respectively. The use of accelerometers with a high sampling rate (400 Hz) at the level of the MT is a promising tool to indirectly measure the kinematic variables of the lateral claw and to detect unilateral hind limb lameness and hind limb pathologies in dairy cows and is highly accurate. The Authors. Published by the Federation of Animal Science Societies and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

Entities:  

Keywords:  accelerometer; dairy cows; gait cycle; lameness

Mesh:

Year:  2016        PMID: 27939543     DOI: 10.3168/jds.2016-11678

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  7 in total

Review 1.  Precision Technologies to Address Dairy Cattle Welfare: Focus on Lameness, Mastitis and Body Condition.

Authors:  Severiano R Silva; José P Araujo; Cristina Guedes; Flávio Silva; Mariana Almeida; Joaquim L Cerqueira
Journal:  Animals (Basel)       Date:  2021-07-30       Impact factor: 3.231

2.  Prediction of lameness using automatically recorded activity, behavior and production data in post-parturient Irish dairy cows.

Authors:  G M Borghart; L E O'Grady; J R Somers
Journal:  Ir Vet J       Date:  2021-02-06       Impact factor: 2.146

Review 3.  A Review: Development of Computer Vision-Based Lameness Detection for Dairy Cows and Discussion of the Practical Applications.

Authors:  Xi Kang; Xu Dong Zhang; Gang Liu
Journal:  Sensors (Basel)       Date:  2021-01-22       Impact factor: 3.576

Review 4.  Why Is the Grass the Best Surface to Prevent Lameness? Integrative Analysis of Functional Ranges as a Key for Dairy Cows' Welfare.

Authors:  Paul Medina-González; Karen Moreno; Marcelo Gómez
Journal:  Animals (Basel)       Date:  2022-02-17       Impact factor: 2.752

5.  Kinematic gait characteristics of straight line walk in clinically sound dairy cows.

Authors:  M Tijssen; F M Serra Braganςa; K Ask; M Rhodin; P H Andersen; E Telezhenko; C Bergsten; M Nielen; E Hernlund
Journal:  PLoS One       Date:  2021-07-21       Impact factor: 3.240

6.  Detection and localisation of unilateral hindlimb pathologies in cattle using the cow pedogram.

Authors:  Maher Alsaaod; Esther Bucher; Martina Feierabend; Maria-Christina Haerdi-Landerer; Adrian Steiner
Journal:  Vet Rec       Date:  2019-01-19       Impact factor: 2.695

7.  Objective assessment of lameness in cattle after foot surgery.

Authors:  Lindsay L Buisman; Maher Alsaaod; Esther Bucher; Johann Kofler; Adrian Steiner
Journal:  PLoS One       Date:  2018-12-28       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.