Supplementing corn or corn-barley diets with an <i>E. coli</i> derived phytase decreases total and soluble P output by weanling and growing pigs
Bibliographic record
Abstract
The efficacy of an E. coli derived phytase on phosphorus (P) digestibility and excretion, on the form of the P excreted, and the optimal dietary calcium (Ca):P ratio was examined. In exp. 1, 63 barrows (40.4 ± 1.9 kg) were assigned to receive one of 21 treatments arranged as a 3 × 7 factorial. Treatments consisted of three Ca levels (0.50, 0.60 and 0.70%) and seven phytase treatments [0, 250, 500, 1000 and 2000 FTU kg-1 of an E. coli-derived phytase and 500 FTU kg-1 of an A. niger phytase added to a P deficient (0.37% P) diet or 0 FTU phytase kg-1 added to a P adequate (0.53% P) diet]. In exp. 2, 144 pigs (6.52 ± 0.75 kg), received a P adequate (0.60% P) diet or a P deficient (0.44% P) diet supplemented with 0, 250, 500, 1000 or 2000 FTU phytase kg-1 for a 28-d trial. A subset of 36 barrows was then fed the same diets in a balance trial. In exp. 3, 36 barrows (7.1 ± 0.75 kg) were assigned to one of six treatments arranged as a 2 × 3 factorial (0 or 500 FTU of phytase kg-1; 1.0, 1.6 or 2.2 Ca:P ratio). In exp. 1, P digestibility improved from 21 to 54% with increasing phytase (quadratic; P < 0.05). Supplementing the diet with 500 FTU phytase kg-1 decreased the output of total and soluble P by 25% in exp. 2 and to a similar extent in exp. 3 at the lowest Ca:P ratio (P < 0.05). The effect of phytase on total P digestibility was mitigated as the dietary Ca:P ratio increased in exp. 3. Supplementation of swine diets with an E. coli derived phytase decreases output of total and soluble forms of P, but this effect is reduced at high dietary Ca:P ratios. Key words: Swine, E. coli phytase, phosphorus, soluble phosphorus
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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 | 0.000 | 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".