Effects of microencapsulated complex of organic acids and essential oils on growth performance, nutrient retention, blood profiles, fecal microflora, and lean meat percentage in weaning to finishing pigs
Bibliographic record
Abstract
A total of 90 pigs (6.47 ± 0.27 kg; 21 d of age) were used in this 22 wk feeding trial to evaluate the effect of microencapsulated complex of organic acids and essential oils (MOE) on growth performance, nutrient retention, blood profile, fecal microflora, and lean meat percentage in pigs. Pigs were randomly distributed to one of three treatment groups (six replicate pens per treatment, five pigs per pen). Dietary treatments were CON, basal diet; MOE1, basal + 0.1% MOE; and MOE2, basal diet + 0.2% MOE. The average daily gain, average daily feed intake, and feed efficiency ratio were significantly different among treatments (P < 0.05). The apparent total tract digestibility of dry matter was linearly increased (P < 0.05) by MOE2. Red blood cells and immunoglobulin G were significantly different in pigs fed MOE (P < 0.05). The Lactobacillus concentration linearly increased (P < 0.05) in MOE2 treatments compared with other treatments. The meat color (a*, redness) and drip loss decreased linearly (P < 0.05) with increasing level of MOE. In conclusion, MOE supplementation could improve growth performance, nutrient retention, blood profile, fecal microflora, and meat quality in weaning to finishing pigs.
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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) | 0.001 | 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".