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

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dc.citation.issue6
dc.citation.volume12
dc.contributor.authorWerema CW
dc.contributor.authorYang DA
dc.contributor.authorLaven LJ
dc.contributor.authorMueller KR
dc.contributor.authorLaven RA
dc.contributor.editorKofler J
dc.coverage.spatialSwitzerland
dc.date.accessioned2024-02-01T22:41:17Z
dc.date.accessioned2024-07-25T06:41:18Z
dc.date.available2022-03-11
dc.date.available2024-02-01T22:41:17Z
dc.date.available2024-07-25T06:41:18Z
dc.date.issued2022-03-11
dc.description.abstractEarlier detection followed by efficient treatment can reduce the impact of lameness. Currently, locomotion scoring (LS) is the most widely used method of early detection but has significant limitations in pasture-based cattle and is not commonly used routinely in New Zealand. Scoring in the milking parlour may be more achievable, so this study compared an in-parlour scoring (IPS) technique with LS in pasture-based dairy cows. For nine months on two dairy farms, whole herd LS (4-point 0−3 scale) was followed 24 h later by IPS, with cows being milked. Observed for shifting weight, abnormal weight distribution, swollen heel or hock joint, and overgrown hoof. Every third cow was scored. Sensitivity and specificity of individual IPS indicators and one or more, two or more or three positive indicators for detecting cows with locomotion scores ≥ 2 were calculated. Using a threshold of two or more positive indicators were optimal (sensitivity > 92% and specificity > 98%). Utilising the IPS indicators, a decision tree machine learning procedure classified cows with locomotion score class ≥2 with a true positive rate of 75% and a false positive rate of 0.2%. IPS has the potential to be an alternative to LS on pasture-based dairy farms.
dc.description.confidentialfalse
dc.edition.editionMarch 2022
dc.format.pagination703-
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/35327100
dc.identifier.citationWerema CW, Yang DA, Laven LJ, Mueller KR, Laven RA. (2022). Evaluating Alternatives to Locomotion Scoring for Detecting Lameness in Pasture-Based Dairy Cattle in New Zealand: In-Parlour Scoring.. Animals (Basel). 12. 6. (pp. 703-).
dc.identifier.doi10.3390/ani12060703
dc.identifier.eissn2076-2615
dc.identifier.elements-typejournal-article
dc.identifier.issn2076-2615
dc.identifier.numberARTN 703
dc.identifier.piiani12060703
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70683
dc.languageeng
dc.publisherMDPI (Basel, Switzerland)
dc.publisher.urihttps://www.mdpi.com/2076-2615/12/6/703
dc.relation.isPartOfAnimals (Basel)
dc.rights(c) 2022 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectdairy cows
dc.subjectdecision tree
dc.subjectin-parlour scoring
dc.subjectlameness
dc.subjectlocomotion scoring
dc.subjectmachine learning
dc.subjectpasture-based system
dc.titleEvaluating Alternatives to Locomotion Scoring for Detecting Lameness in Pasture-Based Dairy Cattle in New Zealand: In-Parlour Scoring
dc.typeJournal article
pubs.elements-id452355
pubs.organisational-groupOther
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