Pancreatic mass, cellularity, and α-amylase and trypsin activity in feedlot steers fed increasing amounts of a high-moisture-corn based diet
Bibliographic record
Abstract
Twenty-four yearling beef steers (initial BW = 467 ± 3.6 kg), predominately of Angus breeding, were used in a randomized complete block design to determine the effect of dietary intake on pancreatic cellularity, mass, and α-amylase and trypsin activity. Steers were individually fed a high-moisture corn-based diet at 1.25, 1.50, 1.75, and 2.00% of BW (DM basis) using Calan gates. After 28 d on treatment, the heaviest steer from each dietary treatment was slaughtered per wk and pancreata collected. Average daily gain (kg) and pancreatic weight (g) increased linearly (P ≤ 0.01) with increasing DM intake. Pancreatic DNA and RNA concentration and content, and RNA:DNA and protein:DNA did not differ (P > 0.05) between treatments. This suggests that the observed increase in tissue weight was due to increases in both cell size and number. Total pancreatic α-amylase activity (kU pancreas-1) increased linearly (P = 0.04) with increasing DM intake. These data indicate that total pancreatic α-amylase activity (kU pancreas-1) linearly increases with increasing intake of a high-moisture corn-based finishing diet and that dietary intake-dependent changes in total pancreatic α-amylase activity are primarily due to changes in pancreatic weight rather than changes in the concentration of pancreatic α-amylase activity (U g-1 pancreas). Key words: Beef cattle, pancreas, α-amylase, trypsin, feed intake
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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) | 0.000 | 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 | 0.000 | 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".