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Record W7065745130

Evaluation of a 3M Petrifilm on-farm milk culture system for use in selective dry cow therapy

2014· article· en· W7065745130 on OpenAlexaboutno aff

Bibliographic record

VenueIslandScholar (University of Prince Edward Island) · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsSomatic cell countMastitisHerdCalifornia mastitis testDairy cattleLactationIce calvingBulk tank
DOInot available

Abstract

fetched live from OpenAlex

As an alternative to blanket dry cow therapy (BDCT), selective dry cow therapy (SDCT) is considered a more judicious approach to antimicrobial use for the purpose of mastitis control during the non-lactating period. The purpose of this research was to evaluate the utility of a 3M Petrifilm-based on-farm milk culture system (OFCS) for use in a SDCT program. A randomized clinical trial was conducted using 16 low bulk tank somatic cell count (<250,000 cells/mL) dairy herds from Prince Edward Island (n = 10) and Quebec (n = 6), Canada. When used to detect intramammary infection (IMI) in cows at drying off, the OFCS performed well with a sensitivity of 85% and specificity of 73%. By comparing producer-derived Petrifilm results to those obtained using an accurate automated reader, it was determined that producers were able to correctly interpret Petrifilm results with an observed agreement of 91% and kappa value of 0.82. The study groups comprising the clinical trial were a positive control group consisting of cows receiving blanket application of dry cow therapy (DCT) with the addition of an internal teat sealant (ITS), and the OFCS group consisting of cows selectively treated at drying off based on OFCS results with ITS alone (Petrifilm negative) or DCT + ITS (Petrifilm positive). No significant differences in postcalving IMI risk and risk of clinical mastitis in the first 120 days of the subsequent lactation were detected between the study groups. Furthermore, no significant differences were observed between study groups regarding test day milk yield and somatic cell count in the first 180 days of the subsequent lactation. Petrifilm-OFCS-based SDCT enabled a reduction in DCT of 21% as compared to BDCT. The effect of ITS on the interdependence of quarters towards the acquisition of new IMI (NIMI) with coagulase negative staphylococci (CNS) over the dry period was also investigated. It was demonstrated that in cows that were infused with ITS, the presence of CNS in another quarter at drying off was a risk factor for CNS NIMI, but this association was absent in cows without ITS infusion. This unexpected finding may have resulted from inadvertent introduction of CNS during ITS infusion. In quarters of cows without a CNS IMI at drying off (i.e. without a source of contagious CNS), ITS was protective against CNS NIMI suggesting that CNS infection over the non-lactating period can be partly attributed to CNS species located within the environment.\nAccording to economic analyses, OFCS-based SDCT resulted in a marginally higher total cost per cow than BDCT. However, OFCS-based SDCT provided the combined benefits of lowering DCT treatment risk without increasing the risk of postcalving IMI, and was superior economically to a SDCT program based on somatic cell count and clinical mastitis history. Overall, the Petrifilm OFCS was an accurate diagnostic tool that was effective in reducing DCT use without compromising the health, welfare, and future milk production of the cow.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.020
GPT teacher head0.254
Teacher spread0.233 · 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
Published2014
Admission routes1
Has abstractyes

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