PSVIII-6 The small intestinal responses in the determination of true digestibility and the endogenous outputs of phosphorus in corn for growing pig using the regression analysis technique
Bibliographic record
Abstract
Abstract It is of important methodological considerations to understand how the small intestine would respond to feeding of a series of assay diets deficient in gradient levels of phosphorus (Pi) associated with corn in growing pigs by the regression analysis technique (TRAT). A total of 48 barrows, with an average initial BW 32 kg, were randomly assigned to 6 grower pig diets and were fed close to ad libitum for 10 d, with 8-d adaptation and 2-d collection fecal samples, according to a randomized complete block design. Six cornstarch-based diets, containing 6 levels of Pi at 1.3, 1.9, 2.0, 3.6, 3.4 and 4.0 g/kg DMI, were formulated from corn. The gut permeability marker of D-mannitol was fed 0.30 g/kg BW at 4 h, prior to be sacrificed for sampling. ADG and the apparent ileal DM digestibility were linearly affected (P < 0.05); however, the ADFI, feed conversion ratio, the apparent fecal DM digestibility, transcellular gut permeability and the jejunal alkaline phosphatase kinetics were not affected (P > 0.05) by the increasing dietary levels of corn inclusion. There were linear relationships (P < 0.05), expressed as g/kg DMI, between the apparent ileal and fecal digestible Pi and the total intake of dietary Pi, suggesting that true ileal and fecal Pi digestibility (33.3±4.7 vs. 52.7±3.8%); and the endogenous Pi outputs (0.37±0.12 vs. 0.60±0.09, g/kg DMI) associated with corn could be estimated by the TRAT. Our results have shown that the intestinal physiological functions were not affected in the grower pigs fed on a series of test diets that were deficient in gradient levels of multiple assay nutrients, including macro-minerals, crude protein and amino acids supplied from the testing corn, for a period of 10 d, in the determination of corn-specific true digestibility and the endogenous outputs of Pi by the TRAT.
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 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 | 0.001 |
| 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) | 0.002 | 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".