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Record W7064522621

Antimicrobial Use, Resistance, and Farm Management Practices in Calves on Canadian Dairy Farms

2022· dissertation· en· W7064522621 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2022
Typedissertation
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Measurements
Canadian institutionsnot available
Fundersnot available
KeywordsColostrumAntimicrobialBovine respiratory diseaseOddsOdds ratioDiarrheaDairy cattleAntibiotic resistance
DOInot available

Abstract

fetched live from OpenAlex

This thesis describes antimicrobial use and antimicrobial resistance in dairy calves, as well as an exploration of studies evaluating colostrum management practices. A scoping review was conducted to investigate the current literature on colostrum management practices and failed transfer of passive immunity in dairy calves. A total of 256 studies were included in data synthesis with 195 being controlled trials. Thirty controlled studies investigated the effect of colostral quantity at first feeding to calves, where studies were comparable with each other. Only 4 controlled trials were found on bacterial load in colostrum in relationship of transfer of passive immunity. A knowledge gap remains considering optimal colostrum management practices and calf health.
\nAn observational study investigated the temporal trend of antimicrobial susceptibility in E. coli and Salmonella isolates obtained from calves ≤ 2 months old in Ontario. Among the total of 1,291 isolates, small differences were noted over 2007 - 2020; however, calves aged ≥ 2 weeks old had higher odds of resistance than younger calves. A cross-sectional study investigated treatment decisions by Canadian dairy producers when using antimicrobials for pre-weaned dairy calves. Questionnaires were distributed to 142 dairy producers, where 96% and 74% of them used antimicrobials to treat a respiratory case and a diarrhea case, respectively. Several combinations of clinical signs were used when making the treatment decision for each respiratory and diarrheic case. Producers who had a written treatment protocol for a respiratory disease had 3 times the odds of using antimicrobials by considering at least 3 respiratory signs compared to those without a protocol for calf respiratory disease. Producers who had a written treatment protocol for calf diarrhea had 7 times the odds of using antimicrobials by considering one of the systemic signs for diarrhea compared to those without a protocol for calf diarrhea.
\nA cross-sectional study investigated antimicrobial use and its association with calf management practices in heifers ≤ 60 d of age on Canadian dairy farms. Among the 74 dairy farms included, 7,307 antimicrobial treatment records were collected. Florfenicol was most commonly used, with lower numbers in fluoroquinolone and ceftiofur. Farms that fed transition milk to calves had less than half the number of antimicrobial treatments/calf-year than those who did not feed transition milk.

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)0.003
metaresearch head score (Gemma)0.009
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.215
Teacher spread0.197 · 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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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