MICROBIOLOGICAL MONITORING OF MASTITIS PATHOGENS IN THE CONTROL OF UDDER HEALTH IN DAIRY COWS
Bibliographic record
Abstract
Importance of systematic mastitis control in dairy herds is described through the presentation of data concerning mastitis occurrence and mastitis significance in modern milk production. The research was carried out by farm visits and by taking quarter samples from all lactating cows at the time of visit. Samples were taken before evening milking. Each quarter sample was tested by Zagreb mastitis test (ZMT). Furthermore, each sample was examined bacteriologically by inoculation on aesculin blood agar. Identification of grown colonies was carried out using internationally accepted methodology. Obtained results were statistically analyzed using Stata 13.1 statistical package. Quarter samples from 385 cows were analyzed. ZMT -positive reactions were noticed in 13.7% of all quarters. Mastitis pathogens were isolated from 175 (13%) of quarter samples. 145 out of 385 cows (37.3%) included in research had at least one ZMT positive quarter or permanently lost (dried off) quarter. From 106 out of 363 cows (29.8%) with all four functional quarters some of mastitis pathogens were isolated. The most frequently isolated pathogens were Staphylococcus aureus, streptococci, Trueperella (Arcanobacterium) pyogenes and Corynebacterium bovis. There was no statistical difference in mastitis occurrence between front and rear mammary quarters. ZMT results and microbiological examination were moderately correlated (Kappa index = 0.4662).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".