432 Late-Breaking: Relationship between animal temperament and levels of stress hormones, blood parameters and social interactions of beef cattle
Bibliographic record
Abstract
Abstract Forty-eight (427.4 ± 40.92) Hereford cross heifers were used to determine the relationship between different temperamental traits with blood parameters, levels of stress hormone and social interactions of beef cattle. The first day of the experiment, heifers were randomly distributed in two pens (24 hd/pen), and the temperament of each animal was evaluated using flight speed, chute movement score, and human and novel object reactivity tests. Each group of twenty-four heifers was placed in an observation pen (24 x 8 m) where social behaviors were recorded with video cameras and later analyzed. The second day, an open-field test was conducted on the seven calmest and seven most excitable heifers based on a temperament score developed based on the traits measured on day 1. Finally, on d 8 of the experiment, an ACTH challenge was conducted on the same seven calmest and seven most excitable heifers to assess HPA-axis reactivity. Blood samples were taken immediately prior and 60 and 120 minutes following the injection of exogenous ACTH to measure plasma cortisol and obtain a complete blood cell count. Animal’s exhibiting dominant behaviors had a greater level of plasma cortisol (P = 0.0435) and flight speed (P = 0.0371) than those with a balanced social status, while those with a balanced social status had a greater (P = 0.0115) white blood cells count than those heifers with a subordinate social profile. There was a strong positive correlation (P = 0.0094, R-square= 0.7386) between flight speed and plasma cortisol. The more excitable animals exhibited a blunted HPA-activity in response to administration of exogenous ACTH. These results show that there is a relationship between temperament, levels of stress hormones and social dominance, suggesting that temperament impacts the amount of stress individual animals experience as well as their health and social status.
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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".