Presence of fed β-carotene in digesta, excreta, blood, and hepatic and adipose tissues of Holstein steers
Bibliographic record
Abstract
Eight animals were fed a diet without added β-carotene for 49 d and then supplemented with four levels of β-carotene (0, 5.5, 44 or 352 mg kg–1dry matter) for 30 d; the two-phase procedure was then repeated. Steers were killed at the end of the second period. Concentrations of β-carotene were: 0, 0, 227.2 and 2011 mg dL–1 (P < 0.05) in ruminal fluid; 0, 0, 533.7 and 4418 mg dL–1 (P < 0.05) in duodenal fluid; 0, 4.03, 14.91 and 90.64 mg g–1 (P < 0.05) in dry faeces; 0.8, 1.2, 4.7 and 8.1 mg g–1 (P < 0.05) in liver; 0.07, 0.15, 0.5 and 3.7 mg g–1 (P < 0.05) in subcutaneous fat; 0, 0, 0.09 and 0.23 mg g–1 (P < 0.05) in kidney fat for dietary treatments with 0, 5.5, 44 and 352 mg β-carotene kg–1 DM, respectively. The dose of β-carotene was reflected in retinol concentrations in liver: 101.1, 113.6, 161.7 and 199.6 mg g–1 (P < 0.05), but not in subcutaneous or kidney fat (P > 0.1). The estimated β-carotene digestibilities were 66.25, 84.39 and 88.14% for treatments with 5.5, 44 and 352 mg β-carotene kg–1 DM, respectively (P < 0.01). The results suggest a high capacity of bovine tissues to store β-carotene and probably a limited capability to convert β-carotene into vitamin A. Key words: β-carotene digestion, blood concentration, deposition, steers
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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 | 0.001 |
| 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".