In vitro fermentation with inoculated goat rumen to evaluate the degradation of diets supplemented with three levels of protected palmitic acid
Bibliographic record
Abstract
Abstract Few studies evaluate the impact of a lipid-rich diet with palmitic acid (PA) in ruminal fermentation. The objective was to evaluate the in vitro bath culture of the protected PA on the ruminal fermentative variables. Four diets were used: a) without protected PA (nPA), b) inclusion of protected PA at three levels: PA3 = 3%, PA6 = 6%, and PA9 = 9% dry matter (DM). The results indicated that protected PA decreased gas production (p ≤ 0.05). DM and organic matter (OM) degradation after 72h of incubation linearly decreased (p ≤ 0.05) with a high level of protected PA. Neutral and acid detergent fiber degradation had no significant differences between treatments (p > 0.05). PA concentration in ruminal fluid had a linear effect with an increase from PA3 to PA9. Propionate had a quadratic effect (p ≤ 0.05) from nPA to PA3, and total volatile fatty acids had a linear decrease (p ≤ 0.05) from nPA to PA9. In conclusion, supplements with protected PA at 3 and 6% increased PA availability, and the results indicate good benefits of protected PA on fermentative variables. The doses of 3 and 6% of protected PA are recommended for use and evaluation in lactating goats.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".