Determination of relative bioavailability from copper carbonate (Emerald-C) and tribasic copper chloride in growing beef steers
Bibliographic record
Abstract
Two experiments were conducted to determine the bioavailability of Cu carbonate (CuCO3) and tribasic Cu chloride (TBCC) relative to Cu sulfate (CuSO4). Experiment 1 utilized 84 steers (282 ± 19 kg) in a 96-d study stratified by weight into pens (six steers per pen) equipped with GrowSafe feed bunks (GrowSafe Systems Ltd, Airdire, AB, Canada). Two pens (n = 12 steers per treatment) were randomly assigned to one of seven treatments: no supplemental Cu (CON), 5 or 10 mg Cu/kg diet dry matter (DM) from CuCO3 (CO5 and CO10, respectively), 5 or 10 mg Cu/kg diet DM from CuSO4 (SUL5 and SUL10, respectively), and 5 or 10 mg Cu/kg diet DM from TBCC (TBCC5 and TBCC10, respectively). All animals were supplemented with 2 mg Mo/kg diet DM and 0.1% S. Blood and liver samples were collected on days 5 and 4 and on days 95 and 96 with treatments stratified across sampling days. Weight was measured on days -1, 0, 26, 56, 93, and 94. Liver samples were used to determine liver Cu concentration and expression of genes relating to Cu trafficking. Blood samples were used to determine plasma Cu and ceruloplasmin concentrations. Markers of Cu status were used to determine the relative bioavailability (RBV) of each test source against CuSO4. Based on liver Cu, CuCO3, and TBCC were not as bioavailable as CuSO4 (89% and 88%, respectively, P < 0.01). There were no differences in RBV between sources based on plasma Cu; however, based on ceruloplasmin, CuCO3 tended to be more bioavailable than CuSO4 (186%; P = 0.08). Experiment 2 compared rates of repletion of Cu-depleted steers fed each source at 5 mg Cu/kg DM (plus 5 mg Mo/kg DM) for 21 d. Controls had the lowest liver Cu following depletion (P ≤ 0.01), while Cu-supplemented treatments were not different (P ≥ 0.40). Plasma Cu was affected by day (P < 0.01), where days 7 and 14 of repletion were similar (P = 0.23) and greater than day 21 (P ≤ 0.01). There was a tendency for a treatment × day interaction where ceruloplasmin tended to be greater on day 14 than on day 7 (P ≤ 0.09), while CON remained consistent on days 7 and 14 (P = 0.51), and decreased from day 14 to day 21 (P = 0.03). Environmental factors and initial Cu status may have impacted the outcome of Exp. 2. In conclusion, Cu from CuCO3 tended to result in more Cu in circulation as ceruloplasmin than CuSO4 and TBCC.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".