Sensitivity of solid culture, broth culture, and real-time PCR assays for milk and colostrum samples from Mycobacterium avium ssp. paratuberculosis-infectious dairy cows
Bibliographic record
Abstract
Mycobacterium avium ssp. paratuberculosis (MAP) can be shed in feces, milk, and colostrum. The goal of this study was to assess assays that detect MAP in these sample types, including effects of lactation stage or season. Understanding the performance of these assays could improve how they are used, limiting the risk of infection to calves. Forty-six previously confirmed MAP-positive cows from 7 Atlantic Canadian dairy farms were identified for colostrum sampling and monthly sampling of milk and feces over a 12-mo period. Samples were assayed for MAP using solid culture, broth culture, and direct real-time PCR (qPCR). Across assay types, test sensitivity when applied to milk samples averaged 25% of that when applied to fecal samples. For colostrum samples, sensitivity depended on assay type, with sensitivity of qPCR being approximately 46% of that in feces. Across sample types, sensitivity of qPCR was higher than that of the other assays. Sensitivity of qPCR, when applied to milk samples, was significantly higher in summer than in other seasons. Summer was also the season with highest agreement between milk and fecal samples collected within the same month. Our results suggest that qPCR would detect more cows shedding MAP in their milk and colostrum than solid or broth culture assays, particularly during the summer, thus providing better management information to limit exposure of calves to this infectious organism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".