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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".