Effect of displaced abomasum on milk production, reproductive performance, and culling of Holstein dairy cattle in Iran
Bibliographic record
Abstract
Displaced abomasum (DA) is an important digestive condition that adversely affects the economic performance and the productive lifespan of a dairy cow. Due to increasing DA incidence in recent years, the present research was performed to estimate the potential effects of DA on the performance of Iranian Holstein. Production data were analyzed using a linear mixed model. Cox proportional hazard regression was used to assess the associations of DA occurrence with the time from calving to first service, pregnancy (in 120 and 220 DIM, respectively) and culling. The least-square means showed that DA was significantly ( P < 0.0001) associated with reduced milk, fat, and protein yields, especially during peak milk production. Results of survival analyzes showed that DA could be associated with reduced probability pregnancy in the first service at 120 DIM (hazard ratio = 0.57; 95% CI = 0.51–0.64), and at 220 DIM (hazard ratio = 0.81; 95% CI = 0.76–0.86) and with an increased hazard of culling in the same lactation (hazard ratio = 3.85; 95% CI = 3.13–4.74). Considering negative effects of DA in dairy cows, it can be concluded, quantitative knowledge of the consequences of DA may convince dairy farmers to apply preventive strategies to reduce the incidence of DA in the herd.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".