Defining the tolerable level of ergot in the diet of weaned pigs
Bibliographic record
Abstract
The present study investigated the effect of ergot alkaloids on performance and clinical symptoms in weaned pigs. Wheat ergot sclerotia (1880 mg alkaloid kg-1; ergocristine, ergotamine, ergosine, ergocryptine, and ergocornine constituting 40, 36, 11, 7, and 6% of the total, respectively) were added on a weight basis to a basal diet at 0.00 (control), 0.05, 0.10, 0.25, 0.50, and 1.00% and fed to 192 weaned pigs (20.4 ± 3.4 d; 6.9 ± 1.3 kg; mean ± SD) for 28 d, beginning 7 d post-weaning. Pigs fed the 1.00% diet gained 82 and 38% less than the control (P < 0.001, 211 vs. 39 g d-1, wk 1 and 432 vs. 269 g d-1, wk 2) and body weight on day 28 was reduced quadratically by alkaloids (P < 0.005). Ergot alkaloids decreased average daily feed intake (ADFI) quadratically (P < 0.04) and feed efficiency linearly (P < 0.03) (0.62 vs. 0.44; control vs. 1.00%) over the entire period, but ADFI was not affected during the initial 14 d (P > 0.20). Ergot alkaloids decreased serum prolactin quadratically (P < 0.002) and urea nitrogen concentrations (P < 0.05). The maximum tolerable ergot level in the diet was 0.10 and 0.05% based on average daily gain (ADG) and ADFI, respectively, corresponding to 2.07 mg and 1.04 mg alkaloid kg-1 diet. Key words: Pig, ergot, alkaloid, toxicity, performance, prolactin
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".