Validation of a lameness model in sows using physiological and mechanical measurements1

Karriker, Locke A.; Abell, Caitlyn; Pairis‐Garcia, Monique D.; Holt, Whitney; Sun, Gang; Coetzee, Johann F.; Johnson, Anna K.; Hoff, Steven J.; Stalder, K. J.

doi:10.2527/jas.2011-4994

Cited by 43 publications

(56 citation statements)

References 8 publications

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“…2 Indicates the status of the foot measured. The 24 sows were injected with 10 mg amphotericin B in the distal inter-phalangeal joint according to the methods outlined in Karriker et al (2013). 3 Tool indicates which lameness detection tool was used: VAS (visual analog scale) and FP (force plate).…”

Section: Discussionmentioning

confidence: 99%

“…One day before lameness induction, weight distribution measurements, gait measurements while sows were walking, and a visual lameness score were collected for each sow to determine a baseline 'sound' value for all measurements. The 24 sows were injected with 10 mg amphotericin B in the distal inter-phalangeal joint at one of four injection sites (left front toes, right front toes, left rear toes and right rear toes) according to the methods outlined in Karriker et al (2013). The injection site was randomly assigned to each sow.…”

Section: Methodsmentioning

confidence: 99%

“…The injection resulted in synovitis, or synovial membrane inflammation, causing the sows to become lame. Sows injected in rear feet did not completely resolve lameness until after 6 days post-injection (DPI), while sows injected in front feet appeared to resolve lameness by DPI 6 (Karriker et al, 2013). For this study, a sow's foot was considered to be lame after it was injected with amphotericin B and clinical lameness signs were observed.…”

Section: Methodsmentioning

confidence: 99%

“…An objective identification method is needed to identify sows during early lameness stages potentially when lameness is undetectable by visual identification methods. Early in the lameness process, sows will change the magnitude of the difference in weight distribution between legs (side-to-side, front-to-back and contralaterally) and will change their gait (Karriker et al, 2013). Using technologies to detect leg weight distribution differences can allow an objective, lameness detection method to be developed.…”

Section: Introductionmentioning

confidence: 99%

“…The 24 sows were injected with 10 mg amphotericin B in the distal inter-phalangeal joint according to the methods outlined in Karriker et al (2013).…”

mentioning

confidence: 99%

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Using classification trees to detect induced sow lameness with a transient model

Abell

Johnson²,

Karriker³

et al. 2014

Animal

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Feet and legs issues are some of the main causes for sow removal in the US swine industry. More timely lameness detection among breeding herd females will allow better treatment decisions and outcomes. Producers will be able to treat lame females before the problem becomes too severe and cull females while they still have salvage value. The objective of this study was to compare the predictive abilities and accuracies of weight distribution and gait measures relative to each other and to a visual lameness detection method when detecting induced lameness among multiparous sows. Developing an objective lameness diagnosis algorithm will benefit animals, producers and scientists in timely and effective identification of lame individuals as well as aid producers in their efforts to decrease herd lameness by selecting animals that are less prone to become lame. In the early stages of lameness, weight distribution and gait are impacted. Lameness was chemically induced for a short time period in 24 multiparous sows and their weight distribution and walking gait were measured in the days following lameness induction. A linear mixed model was used to determine differences between measurements collected from day to day. Using a classification tree analysis, it was determined that the mean weight being placed on each leg was the most predictive measurement when determining whether the leg was sound or lame. The classification tree's predictive ability decreased as the number of days post-lameness induction increased. The weight distribution measurements had a greater predictive ability compared with the gait measurements. The error rates associated with the weight distribution trees were 29.2% and 31.3% at 6 days post-lameness induction for front and rear injected feet, respectively. For the gait classification trees, the error rates were 60.9% and 29.8% at 6 days post-lameness induction for front and rear injected feet, respectively. More timely lameness detection can improve sow lifetime productivity as well as animal welfare.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The 24 sows were injected with 10 mg amphotericin B in the distal inter-phalangeal joint according to the methods outlined in Karriker et al (2013).…”

mentioning

confidence: 99%

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