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Record W7071436728

Surveillance and improved control of American foulbrood in Saskatchewan honey bees through the detection of Paenibacillus larvae spores in pooled, extracted honey

2022· dissertation· en· W7071436728 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsnot available
Fundersnot available
KeywordsAmerican foulbroodBeekeepingOutbreakAntimicrobialHoney beeEndospore
DOInot available

Abstract

fetched live from OpenAlex

The North American beekeeping industry is heavily reliant on antimicrobial metaphylaxis to prevent and control outbreaks of the destructive bacterial disease, American foulbrood (AFB). The infectious endospores (spores) of the causative agent, Paenibacillus larvae, are incredibly resilient to environmental extremes and are impervious to antimicrobials licensed for use against AFB (1–3). Consequently, non-curative antibiotic use fosters dependency and sustained, indiscriminate use to ensure industry profitability. In the face of growing international concern regarding antimicrobial resistance (AMR) and the emergence of strains of P. larvae with AMR, North American beekeepers are inadequately prepared to reduce their reliance on antimicrobials without risk of significant economic losses to AFB (2,4–11). Current methodology to guide evidence-based antimicrobial use through AFB risk assessment relies on the sampling and testing of individual hives and is logistically impossible for large-scale, commercial beekeeping operations to implement (12–21). To address this issue, we evaluated the use of spore detection in conveniently collected, pooled, extracted honey to determine AFB risk at a yard or operation level within antibiotic-reliant apiculture. Large-scale, commercial honey bee operations in Saskatchewan, Canada, with a history of antimicrobial use and recent outbreaks of AFB were clinically characterized and opportunistically sampled to compare the detection of spores and predictive ability of pooled, extracted honey to the current standard of samples collected from individual hives. We demonstrated that pooled honey was predictive of the spore contamination identified through individual hive testing and appeared to have prognostic value in assessing the risk of AFB at the yard or operation level. Accordingly, we expanded our testing of pooled honey to 116 Saskatchewan beekeepers representing approximately 75% of the province’s 110,00 registered colonies during the study period. By correlating spore concentrations to the incidence of AFB, we established reliable prognostic thresholds at 2 and 100 spores per gram of honey to determine a beekeeper’s future risk of disease. Additionally, we highlighted management practices related to a higher risk of AFB that could represent key targets for improved biosecurity to mitigate risk. Given their expertise in herd-health management and biosecurity, veterinarians should play an integral role in a beekeeper’s health management team in the prevention and control of AFB. Together, beekeepers who are at low risk of AFB through the testing of their pooled honey and are simultaneously incorporating low-risk management practices through the help of their health management team may temporarily cease antimicrobial metaphylaxis. Improved, judicious antimicrobial use in apiculture will reduce the threat of AMR and will help to ensure the sustainability of the North American industry.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.249
Threshold uncertainty score0.500

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.006
GPT teacher head0.183
Teacher spread0.177 · 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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