Impacts of Maternal Bovine Appeasing Substance Administered at Weaning on Behavioral and Physiological Adaptation of Beef Heifers to the Feedlot
Bibliographic record
Abstract
The effects of administering 10 mL of maternal bovine appeasing substance (mBAS) or water (control) at weaning (day 0) before transport on feedlot adaptation and efficiency were evaluated in twenty-two Angus-influenced heifers (n = 11/treatment) over 28 days. Growth (BW, ADG), salivary cortisol, blood for complete blood cell count, rectal temperature, chute score and exit speed were collected on days 0, 14 and 27. Intake, feeding duration, frequency and rate, as well as activity and rumination were monitored daily using automated systems. Treated heifers spent less time eating (P < 0.001) on weeks 1 and 2, with greater feeding rate and activity (P < 0.05) in week 1, followed by reduced activity (P < 0.05) in weeks 2, 3 and 4. Rumination was longer (P < 0.05) in weeks 3 and 4, coinciding with greater (P < 0.05) final BW, ADG0–27, ADG14–27, and G:F0–27, G:F14–27. Lymphocyte and hematocrit were lower (P = 0.01) on days 14 and 27, respectively, and platelet tended to be greater (P = 0.07) than CT for the entire period. Treated heifers achieved greater profit margins (P < 0.05) than CT. Overall, mBAS enhanced feedlot adaptability post-weaning, improving production efficiency and profitability.
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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 | 0.001 |
| 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".