Literature DB >> 35953194

Impact of digital dermatitis on locomotion and gait traits of beef cattle.

Anice D Thomas1, Karin Orsel1, Ed A Pajor1.   

Abstract

Digital dermatitis (DD) is an infectious skin disease and a major cause of lameness that significantly impacts cattle productivity and welfare. However, DD does not always result in lameness and lameness scoring systems are not specific to hoof pathologies. Digital dermatitis detection protocols could be improved by including gait traits most related to DD. The aims of this study were to 1) determine the association between DD M-stage ("M" for Mortellaro), locomotion, and gait traits: arched back (AB), asymmetric gait (AG), head bobbing (HB), tracking up (TU), and reluctance to bear weight (WB), and 2) determine which traits are most associated with DD. Cattle (n = 480) from three feedlots were enrolled. Locomotion score (LS) and gait traits were assessed as cattle walked four strides along a dirt alleyway. Next, cattle were restrained in a chute, each hind foot lifted, and DD M-stage (absent, active, or chronic) determined. The association between presence of DD, LS, and gait traits were scored independently (n = 291). For both LS and gait the lowest score represents normal and the highest score severely altered. Digital dermatitis presence was associated with higher LS (P < 0.001). Odds ratios (ORs) for cattle with DD being lame or moderately to severely lame were 8.0 (P < 0.001) and 10.1 (P < 0.001) times more than cattle without lesions. Cattle with active lesions had the greatest odds of being lame (OR = 9.4; P < 0.001). Digital dermatitis presence was associated with all gait traits (P < 0.001), where AG (OR = 5.5; P < 0.001) and WB (OR = 5.8; P < 0.001) had the greatest OR for classifying cattle with DD as having altered gait. The OR for cattle with active lesions having altered gait was greatest for WB which was 6.0 (P < 0.001) times greater than cattle without lesions. The OR for cattle with chronic lesions having altered gait was greatest for AG being 6.5 (P < 0.001) times more than cattle without lesions. All gait traits had low sensitivity (Se) for detecting cattle with DD and varied from 6.7% to 55.8%. Locomotion score (Se 55.8%) and AG (Se 44.2%) were most predictive with positive predictive values of 76.6% and 74.3%, respectively. Specificity for all traits ranged from 94.1% for LS to 98.4% for WB with negative predictive values of 72.1% and 68.9%, respectively. In conclusion, LS, WB, and AG had the strongest association with cattle that had DD. Locomotion scoring that includes a focus on WB and AG is the best tool to detect DD in beef cattle.
© The Author(s) 2022. Published by Oxford University Press on behalf of the American Society of Animal Science.

Entities:  

Keywords:  behavior; feedlot cattle; hairy heel warts; hoof lesions; lameness; positive predictive value

Mesh:

Year:  2022        PMID: 35953194      PMCID: PMC9576024          DOI: 10.1093/jas/skac262

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.338


  23 in total

1.  A lameness scoring system that uses posture and gait to predict dairy cattle reproductive performance.

Authors:  D J Sprecher; D E Hostetler; J B Kaneene
Journal:  Theriogenology       Date:  1997-04-15       Impact factor: 2.740

2.  Bovine digital dermatitis.

Authors:  H F Bassett; M L Monaghan; P Lenhan; M L Doherty; M E Carter
Journal:  Vet Rec       Date:  1990-02-17       Impact factor: 2.695

3.  Locomotion scores and lying behaviour are indicators of hoof lesions in dairy cows.

Authors:  Peter T Thomsen; Lene Munksgaard; Jan Tind Sørensen
Journal:  Vet J       Date:  2012-08-04       Impact factor: 2.688

4.  Effect of hoof pathologies on subjective assessments of dairy cow gait.

Authors:  F C Flower; D M Weary
Journal:  J Dairy Sci       Date:  2006-01       Impact factor: 4.034

5.  Assessing economic consequences of foot disorders in dairy cattle using a dynamic stochastic simulation model.

Authors:  M R N Bruijnis; H Hogeveen; E N Stassen
Journal:  J Dairy Sci       Date:  2010-06       Impact factor: 4.034

6.  The cost of different types of lameness in dairy cows calculated by dynamic programming.

Authors:  E Cha; J A Hertl; D Bar; Y T Gröhn
Journal:  Prev Vet Med       Date:  2010-10-01       Impact factor: 2.670

7.  Papillomatous digital dermatitis (footwarts) in California dairy cattle: clinical and gross pathologic findings.

Authors:  D H Read; R L Walker
Journal:  J Vet Diagn Invest       Date:  1998-01       Impact factor: 1.279

8.  Relation between observed locomotion traits and locomotion score in dairy cows.

Authors:  Andrés Schlageter-Tello; Eddie A M Bokkers; Peter W G Groot Koerkamp; Tom Van Hertem; Stefano Viazzi; Carlos E B Romanini; Ilan Halachmi; Claudia Bahr; Daniël Berckmans; Kees Lokhorst
Journal:  J Dairy Sci       Date:  2015-09-19       Impact factor: 4.034

Review 9.  Lameness Detection in Dairy Cows: Part 1. How to Distinguish between Non-Lame and Lame Cows Based on Differences in Locomotion or Behavior.

Authors:  Annelies Van Nuffel; Ingrid Zwertvaegher; Liesbet Pluym; Stephanie Van Weyenberg; Vivi M Thorup; Matti Pastell; Bart Sonck; Wouter Saeys
Journal:  Animals (Basel)       Date:  2015-08-28       Impact factor: 2.752

10.  Reliability of a beef cattle locomotion scoring system for use in clinical practice.

Authors:  Jay Tunstall; Karin Mueller; Oscar Sinfield; Helen Mary Higgins
Journal:  Vet Rec       Date:  2020-09-11       Impact factor: 2.695

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