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The effects of a nonsteroidal anti-inflammatory drug on the behavioural and physiological parameters of beef cows and calves assisted at calving

2024· article· en· W4392563400 on OpenAlexafffund
Cecilia Lucio, M. Claire Windeyer, Edmond A. Pajor, Kathy Larson, Jennifer M. Pearson

Bibliographic record

VenueApplied Animal Behaviour Science · 2024
Typearticle
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsUniversity of Saskatchewan
FundersFaculty of Veterinary Medicine, University of Calgary
KeywordsIce calvingNonsteroidalAnimal scienceAnimal welfareDrugDairy cattleBeef cattleAnimal-assisted therapyVeterinary medicinePet therapyBiologyMedicineLactationPharmacologyPregnancy

Abstract

fetched live from OpenAlex

Non-steroidal anti-inflammatory drugs (NSAIDs) may be administered to the cow or the calf as a pain mitigation strategy to combat the negative impacts of injury or trauma associated with a difficult calving. However, the effects of NSAIDs on beef cows’ and calves’ behaviour related to pain and cow-calf bonding after an assisted calving have not been studied. Therefore, the objective of this study was to investigate the effects of meloxicam administered to beef cows and calves after an assisted calving by measuring differences in behaviours associated with pain and cow-calf bonding, and physiological parameters associated with pain. Twenty-three cow-calf pairs assisted at calving were randomly allocated to two medication groups, meloxicam (Metacam®, 20 mg/ml, 0.5 mg/kg body weight, Boehringer Ingelheim, Ingelheim, Germany) or placebo (0.025 ml/kg). Cow blood samples for serum haptoglobin concentration and thermal images of the vulva were taken within 10 minutes after calving and 24±1 hours after calving. Calf blood samples for L-lactate concentration and thermal images of the head were taken at birth and images repeated at24±1 hours after birth. Blood samples for serum IgG concentration were taken at 24±1 hours after birth. After at-birth sample collection and treatment administration, the cow-calf pairs were placed in separate box stalls, and behaviours were video recorded for 24±1 hours. A human approach test and a separation test were performed after the 24±1 hour period. Descriptive statistics, multivariable linear and logistic regression models, and non-parametric tests were used to analyze the data. There were no significant differences between meloxicam and placebo groups for serum IgG concentration, haptoglobin concentration, or changes in temperature in the cows’ vulva or calves’ head. Additionally, there were no significant differences between meloxicam and placebo groups for the cows’ behaviours (i.e., time spent lying in sternal recumbency, standing, feeding, self-grooming, grooming the calf, and frequency of tail flicking, tail raising, and pressing against the box stall). Calves treated with meloxicam were more active (P=0.04) and played more (P=0.01) than placebo calves. No other behaviours (i.e., time spent lying in sternal recumbency, attempting to stand, standing, walking, being in a nursing position, investigating, and frequency of approaching the cow) were significantly different between calves treated with meloxicam or placebo. No significant difference (P=0.83) in bonding behaviours was identified for cows and calves treated with meloxicam or a placebo. The use of meloxicam in calves after an assisted calving may indicate that the anti-inflammatory effects improve calf welfare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.303
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2024
Admission routes2
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