139 Digestibility of phosphorus in heat-treated dry extruded-expelled soybean meal and solvent-extracted and expeller-extracted canola meal fed to growing pigs
Bibliographic record
Abstract
Abstract Although heat treatment affects digestibility of amino acids in feed ingredients, there is less information as to whether such an effect also applies to minerals. Therefore, the objective of this research was to investigate the effects of heat treatment on apparent (ATTD) and standardized total tract digestibility (STTD) of P in dry extruded-expelled soybean meal (DESBM), solvent-extracted canola meal (SCM), and expeller-extracted canola meal (ECM) fed to growing pigs. A total of 36 pigs (19.0 ± 1.0 kg) were assigned to 1 of 6 diets in a completely randomized design to give 6 replicates per diet. Pigs were individually housed in metabolism crates for 12 d, including 7 d for adaptation and 5 d for total collection of feces. The experimental diets were formulated to contain non-heated or heat-treated DESBM, SCM, and ECM as the sole source of P. Pigs were offered their daily ration at 2.8 times their maintenance energy requirement. Data were analyzed as a 3 × 2 factorial arrangement using the PROC MIXED of SAS with ingredients, heat treatment, and their interaction; however, no interaction was observed for any variable. Pigs fed the DESBM diet had a higher (P < 0.05) ATTD and STTD of P than pigs fed SCM and ECM diets. The ATTD and STTD of P in heat treated samples were higher (P < 0.05) than in non-heated samples. In the heat-treated samples, the values of STTD of P were 49.4, 23.2, and 25.8% for DESBM, SCM, and ECM, respectively. Respective values for STTD of P in non-heated DESBM, SCM, and ECM were 48.5, 20.2, and 22.5%. The ATTD of Ca in non-heat-treated samples was lower (P < 0.05) compared to the values for heat-treated samples. In conclusion, heat treatment increased ATTD and STTD of P in DESBM, SCM, and ECM fed to growing pigs.
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 | 0.000 |
| 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 | 0.001 |
| 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".