Metabolizable energy and digestible nutrient values of protease-supplemented field pea for broiler chicken
Bibliographic record
Abstract
; CBS Bio Platforms, Calgary, AB, Canada) in 2 × 2 factorial arrangement, and N-free diet. Protease was added to diets to supply 6,250 U/kg. Digestibility of AA and N retention for feedstuffs were determined by the direct method, whereas digestibility and retention of energy for feedstuffs were determined by the difference from the N-free diet. On as fed basis, SBM and field pea contained 90.0 and 88.9 dry matter, 46.6 and 20.2 % crude protein, 2.88 and 1.47 % Lys, and 14.3 and 14.7 % non-starch polysaccharides, respectively. On as fed basis, the AMEn value for field pea was lower (P < 0.05) than that of SBM (2,006 vs. 2,414 kcal/kg). Also, the SID values of most indispensable AA in field pea were lower (P < 0.05) than those in SBM. Feedstuff (field pea vs. SBM) and protease did not interact on AMEn and SID of AA values. The supplemental protease increased (P < 0.05) AMEn values of the SBM and field by an average of 187 kcal/kg but decreased (P < 0.05) the SID values of all indispensable AA (except His) for the SBM and field, by an average of 2.7 percentage points. Results indicate that the protease product used in the current study marginally reduced the SID of AA for both SBM and field pea. However, the protease product can be beneficially included in diets based on SBM or field pea for broilers to enhance their AMEn values. The response to the protease on the AMEn was consistent regardless of the protein source in the diet, implying that the protease used in this study has similar positive impact on energy availability in both field pea and SBM.
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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) | 0.001 | 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".