Effects of feed-borne <i>Fusarium</i> mycotoxins on performance, plasma chemistry and hepatic fractional protein synthesis rates of turkeys
Bibliographic record
Abstract
In the first experiment, 225 day-old male turkey poults (5 pens/diet and 15 birds/pen) were fed corn, wheat and soybean meal based starter, grower, developer and finisher diets formulated with uncontaminated grains or contaminated grains or contaminated grains + 0.2% glucomannan polymer (GMP). In the second experiment, the same starter diet was also fed over a 4-wk period to 48 male turkey poults (2 pens/diet and 8 poults/pen) to determine hepatic fractional protein synthesis rates (FSR). Consumption of grains naturally contaminated with Fusarium mycotoxins significantly decreased body weight gain throughout the experiment compared with controls. Supplementation of diets containing contaminated grains with GMP prevented the reduction in body weight gain in the starter, developer and finisher periods. Efficiency of feed utilization decreased in grower and developer periods when birds were fed contaminated diets. Plasma total protein, albumin, globulin and uric acid concentrations were decreased after 4 wk of feeding compared with controls (P < 0.05). It was concluded that performance and plasma chemistry of turkeys were sensitive to the feeding of a diet containing a combination of mycotoxins arising from naturally contaminated grains and the feeding of GMP can prevent some of these adverse effects. Key words: Fusarium mycotoxins, turkey performance, hepatic FSR
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".