Literature DB >> 20172215

Measures of weight distribution of dairy cows to detect lameness and the presence of hoof lesions.

M Pastell1, L Hänninen, A M de Passillé, J Rushen.   

Abstract

There is increasing interest in automated methods of detecting lame cows. Hoof lesion data and measures of weight distribution from 61 lactating cows were examined in this study. Lame cows were identified with different numerical rating scores (NRS) used as thresholds (NRS >3 and NRS >or=3.5) for lameness. The ratio of weight applied to a pair of legs (LWR) when the cow was standing was calculated using a special weigh scale, and the cows were gait scored using a 1 to 5 NRS. Hoof lesions were scored and the cows placed into 1 of 4 mutually exclusive categories of hoof lesion: a) no lesions, b) moderate or severe hemorrhages, c) digital dermatitis, and d) sole ulcers. Regression analysis and receiver operating characteristic (ROC) curves were used to analyze the relation between hoof lesions and LWR. A clear relationship was found between NRS and LWR for the cows with sole ulcers (R(2)=0.79). The LWR could differentiate cows with sole ulcers from sound cows with no hoof lesions [area under the curve (AUC)=0.87] and lame cows from nonlame cows with lameness thresholds NRS >3 (AUC=0.71) and NRS >or=3.5 (AUC=0.88). There was no relationship between LWR and NRS for cows with digital dermatitis. Measurement of how cows distribute their weight when standing holds promise as a method of automated detection of lameness.

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Year:  2010        PMID: 20172215     DOI: 10.3168/jds.2009-2385

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


  8 in total

1.  Curative effect of topical treatment of digital dermatitis with a gel containing activated copper and zinc chelate.

Authors:  M Holzhauer; C J Bartels; M van Barneveld; C Vulders; T Lam
Journal:  Vet Rec       Date:  2011-09-27       Impact factor: 2.695

Review 2.  Lameness Detection in Dairy Cows: Part 2. Use of Sensors to Automatically Register Changes in Locomotion or Behavior.

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

Review 3.  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

4.  Using Sensor Data to Detect Lameness and Mastitis Treatment Events in Dairy Cows: A Comparison of Classification Models.

Authors:  Christian Post; Christian Rietz; Wolfgang Büscher; Ute Müller
Journal:  Sensors (Basel)       Date:  2020-07-10       Impact factor: 3.576

Review 5.  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

6.  Use of Extended Characteristics of Locomotion and Feeding Behavior for Automated Identification of Lame Dairy Cows.

Authors:  Gian Beer; Maher Alsaaod; Alexander Starke; Gertraud Schuepbach-Regula; Hendrik Müller; Philipp Kohler; Adrian Steiner
Journal:  PLoS One       Date:  2016-05-17       Impact factor: 3.240

Review 7.  Association between Lameness and Indicators of Dairy Cow Welfare Based on Locomotion Scoring, Body and Hock Condition, Leg Hygiene and Lying Behavior.

Authors:  Mohammed B Sadiq; Siti Z Ramanoon; Wan Mastura Shaik Mossadeq; Rozaihan Mansor; Sharifah Salmah Syed-Hussain
Journal:  Animals (Basel)       Date:  2017-11-05       Impact factor: 2.752

8.  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

  8 in total

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