Impact of dietary zinc and copper levels on ileal and total apparent nutrient digestibility in growing pigs
Bibliographic record
Abstract
This study aimed to evaluate the effect of dietary zinc (Zn) and copper (Cu) levels on their apparent ileal digestibility (AID) and total tract digestibility (ATTD) and that of calcium (Ca), manganese (Mn), iron (Fe), phosphorus (P), and fiber in pigs. The experiment was carried out with six individuals fitted with a T-cannula. Pigs received one of four diets with two levels of Zn (100 [low] and 500 [high] mg/kg) and Cu (40 [low] and 80 [high] mg/kg). High Zn increased AID of Zn and Mn, but decreased that of Ca ( p < 0.05). High Cu tended to improve AID of Cu, but only when high Zn was used (Interaction Zn × Cu, p = 0.051). ATTD of Zn, Cu, Mn, and P was greater in high Zn ( p < 0.05). High Cu also increased ATTD of Cu, but reduced that of Ca ( p < 0.05) as it likely did for ATTD of P in low Zn (Interaction Zn × Cu, p = 0.065). There was an improving trend for ATTD of NDF (Interaction Zn × Cu, p = 0.069), and ATTD of ADF was increased with a combination of high Zn and high Cu (Interaction Zn × Cu, p < 0.05). This research showed that the levels of Cu and Zn modified the digestibility of minerals but also the degradability of fiber.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".