Essential Oils in the Diet of Crossbred (½ Angus vs. ½ Nellore) Bulls Finished in Feedlot on Animal Performance, Feed Efficiency and Carcass Characteristics
Bibliographic record
Abstract
This experiment was carried out to evaluate the animal performance, feed efficiency and carcass characteristics of 27 crossbred bulls (½ Angus vs. ½ Nellore), finished in feedlot for 120 days, with the addition of distinct levels of essential oils in the diets. The experiment was conducted in a completely randomized trial and animals were distributed into three treatments: control (CON), addition of 500 mg/kg of DM/animal/day of a mix of essential oils (E500), and addition of 1000 mg/kg of DM/animal/day of a mix of essential oils (E1000). The essential oils supplemented to the diets were based on a combination of vegetal extracts from: oregano, garlic, lemon, rosemary, thymus, eucalyptus and sweet orange. The bulls had an average age of 12±2 months and weight of 243.4±6.8 kg when the trial started. The roughage and concentrate ratio was 10% and 90%, respectively. The inclusion of essentials oils in the diets did not affect final body weight, average daily gain, and feed intake, but there was a tendency for improved feed efficiency for the E500 treatment. The ADG ranged from 1.55 to 1.70. Average DMI and feed conversion were 7.07 kg/day and 4.31, respectively. Essentials oil levels did not affect the carcass characteristics. More studies are needed to elucidate the synergism of combinations of essential oils in the rumen.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".