Literature DB >> 24268407

Technical note: a comparison of 2 methods of assessing lameness prevalence in tiestall herds.

Jenny Gibbons1, Derek B Haley2, Janet Higginson Cutler2, Clemence Nash2, Jessica Zaffino Heyerhoff2, Doris Pellerin3, Steve Adam4, Alain Fournier5, Anne Marie de Passillé1, Jeffrey Rushen6, Elsa Vasseur7.   

Abstract

We compared 2 methods for identifying lame cows and estimating the prevalence of lameness in tiestalls. Cows (n=320) in 9 tiestall herds were scored as lame both by the presence of limping while walking and by stall lameness scores (SLS). The SLS was based on the number of the following behaviors that the cow showed while standing in the tiestall: weight shifting, standing on the edge of the stall, uneven weight bearing while standing, and uneven weight bearing while moving from side to side. Two observers watched video-recordings of the cows. Intraobserver agreements for the 4 SLS behaviors ranged from 92 to 100%, and interobserver agreement ranged from 81 to 100%. The overall prevalence of lameness based on an SLS of ≥2 was similar to that of limping (39 vs. 40%). The sensitivity of the classification based on the SLS was 0.63 and the specificity was 0.77 in identifying cows with a limp; accuracy varied across farms from 62.2 to 80.4%, with a mean of 71.7%. A cow with an SLS of ≥2 had 4.88 times the odds of limping than a cow with an SLS of <2. The prevalence of lameness on farms based on SLS was highly correlated with the prevalence of limping (Pearson correlation=0.88; n=9), and prevalence estimates from the 2 methods diverged most when the mean herd prevalence was lower. The SLS method provides an estimate of the prevalence of lameness in tiestall herds comparable with traditional gait scoring, but does not require that the cows be untied. The SLS method could be used to improve lameness detection on tiestall farms and obtain estimates of lameness prevalence without the need to walk the cows.
Copyright © 2014 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  dairy cow; lameness; tiestall; welfare

Mesh:

Year:  2013        PMID: 24268407     DOI: 10.3168/jds.2013-6783

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


  5 in total

1.  Prevalence of and factors associated with swellings of the ribs in tie stall housed dairy cows in Germany.

Authors:  Greta E Abele; Yury Zablotski; Melanie Feist; K Charlotte Jensen; Annegret Stock; Amely Campe; Roswitha Merle; Andreas W Oehm
Journal:  PLoS One       Date:  2022-07-15       Impact factor: 3.752

Review 2.  The Role of Infrared Thermography as a Non-Invasive Tool for the Detection of Lameness in Cattle.

Authors:  Maher Alsaaod; Allan L Schaefer; Wolfgang Büscher; Adrian Steiner
Journal:  Sensors (Basel)       Date:  2015-06-18       Impact factor: 3.576

3.  German Farmers' Awareness of Lameness in Their Dairy Herds.

Authors:  Katharina Charlotte Jensen; Andreas W Oehm; Amely Campe; Annegret Stock; Svenja Woudstra; Melanie Feist; Kerstin Elisabeth Müller; Martina Hoedemaker; Roswitha Merle
Journal:  Front Vet Sci       Date:  2022-03-24

4.  A machine learning approach using partitioning around medoids clustering and random forest classification to model groups of farms in regard to production parameters and bulk tank milk antibody status of two major internal parasites in dairy cows.

Authors:  Andreas W Oehm; Andrea Springer; Daniela Jordan; Christina Strube; Gabriela Knubben-Schweizer; Katharina Charlotte Jensen; Yury Zablotski
Journal:  PLoS One       Date:  2022-07-11       Impact factor: 3.752

5.  Evaluating Alternatives to Locomotion Scoring for Detecting Lameness in Pasture-Based Dairy Cattle in New Zealand: In-Parlour Scoring.

Authors:  Chacha W Werema; Dan A Yang; Linda J Laven; Kristina R Mueller; Richard A Laven
Journal:  Animals (Basel)       Date:  2022-03-11       Impact factor: 2.752

  5 in total

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