Characterizing Fecal and Manure Phosphorus from Pigs Fed Phytase Supplemented Diets
Bibliographic record
Abstract
We conducted this study to characterize P forms in feces and manure from pigs fed phytase supplemented diets and to determine if higher phytase levels can result in greater reduction in manure P without increased P solubility. Twenty-eight growing pigs were fed diets containing varying levels of supplemental P and phytase. Phosphorus concentrations in feces, urine and manure were determined and fecal and manure P were fractionated. Phytase addition reduced P concentration in feces and manure but increased urine P concentration. The greatest significant reduction in fecal and manure P was in pigs fed diet containing 2000 U phytase kg-1 without supplemental P, with 33% reduction in manure P. Inorganic P constituted more than 85% of fecal and manure P and the percentage decreased with phytase addition. Our study showed that higher phytase levels up to 2000 U phytase kg-1 could offer additional advantage of reducing manure P concentration and solubility.
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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 | 0.000 |
| 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".