The impact of various stress factors on lactation in goats
Bibliographic record
Abstract
Background and Aim. The study of milk formation and secretion physiology is essential for addressing various biomedical issues related to the biological significance of lactation and milk in supporting offspring immunity and metabolism, as well as for the production of high-quality dairy products. The occurrence and duration of hypogalactia are determined by the quantitative balance between lactogenic and stress hormones. The aim of the study was to assess the levels of stress hormones and their impact on milk secretion in lactating goats under normal conditions and various stress factors. Materials and Methods. The study was conducted on goats, biochemical analyses of blood and milk were carried out. The levels of adrenaline and noradrenaline were measured using the fluorimetric method, considering different stress conditions and lactation stages. Results. The levels of key lactogenic hormones were found to be highest during the early stages of lactogenesis. For the first time, it was established that stress hormone levels in goats vary depending on the lactation period and the influence of stress factors. The highest concentrations of adrenaline and noradrenaline were observed in the initial days of lactogenesis, followed by a decline during subsequent stages of lactopoiesis. Conclusion. The results of the study showed that low milk yield is associated with increased levels of adrenaline and noradrenaline in the bloodstream. Under such conditions, milk production decreases, and a reduction in fat, protein and lactose content is observed, leading to a shorter lactation period.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".