EFFECT OF PHYTASE SUPPLEMENTATION TO DIETS FOR WEANLING PIGS ON THE UTILIZATION OF PHOSPHORUS AND CALCIUM
Bibliographic record
Abstract
Four experiments were conducted with weanling pigs to determine the effect of phytase supplementation to four diet types on the apparent total tract digestibility and retention of P and Ca. Phytase was supplemented at rates of 0, 500, and 1000FTU/kg to the four diets. A 20% crude protein (CP) corn-soybean meal diet was used in Exp. 1; a 20% CP wheat-soybean meal diet in Exp. 2; a 20% CP wheat-soybean meal-canola meal diet in Exp. 3; and a 19% CP barley-peas-canola meal diet in Exp. 4. Six barrows were used in each experiment and fed the basal and phytase-supplemented diets according to a repeated 3 ×3 Latin square design. Each experimental period comprised 14 days. The piglets were fed at 08:00 and 20:00 daily equal amounts of each meal at a daily rate of at least 2.4 times the maintnance requirement for metabolizable energy. Feces and urine were collected from 08:00 on day 8 until 08:00 on day 12 of each experimental period. The results show that phytase supplementation, even to diets supplemented with inorganic P, increases the utilization of P and decreases the excretion in feces. The response of phytase on the utilization of Ca varies with diet composition and is dependent on the dietary Ca content. Phytase supplementation at a rate of 1000 compared to 500FTU/kg diet did not further improve the utilization of P and Ca.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".