First report of paratuberculosis (Johne’s disease) in livestock farms of river buffaloes (Bubalus Bubalis) in Nineveh, Iraq
Bibliographic record
Abstract
The present study was designed to investigate Mycobacterium avium subsp. paratuberculosis (MAP) in dairy buffalo herds from six different geographical areas in Nineveh, Iraq. A total of 87 individual faecal samples from river buffaloes, representing 12 dairy herds, were investigated for detection of MAP using cultural, Ziehl‑Neelsen and MAP‑specific PCR‑based methods. Overall, MAP was detected at a higher frequency at herd‑level (4/12; 33%) compared to the total individual faecal samples (14/87; 16%) with a cell density ranging from 101 to 103 CFU g‑1. A significantly (p < 0.05) higher frequency (9/17; 53%) of MAP was observed in faecal samples collected from clinically diseased as compared to healthy (5/70; 7%) buffaloes selected for the study. However, no statistically significant difference (p ≥ 0.05) was observed in the frequency of MAP occurrence between clinical (9; 64%) and apparently healthy (5; 36%) cases. This report, which is the first MAP study based on data from Iraqi dairy buffalo herds suggests that MAP transmission is a significant health risk for grazing livestock. In conclusion, this study would help farm owners and regulatory authorities to realise the importance of developing and applying best farm management practices in order to prevent transmission of MAP to healthy animals and the environment. In addition, effective diagnostic tests should be taken into account when carrying out the screening tests.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".