Imprinting, Sucking and Allosucking Behaviors in Buffalo Calves
Bibliographic record
Abstract
This paper provides a short review of the scientific literature, focusing on recent advances on the most representative events from birth to weaning, with special emphasis on the behavior and welfare of buffalo calves during the phases of imprinting, suckling and allosucking, based on the differences and similarities reported with dairy and beef cattle. The similarities include the facts that all 3 are gregarious animals whose dams separate from the herd prior to parturition to facilitate dam-calf bonding, and that maternal care fosters the ingestion of colostrum by the young. These species are also precocial and rely on mother – young mutual recognition for calf survival. In particular, mothers develop a selective bonding with their young soon after parturition, although buffalo cows seem to be tolerant to alien claves and are often engaged in communal nursing. In buffaloes and cattle negative emotions are induced by the stress brought on by early maternal separation. However, buffalo calves are more prone to express cross-sucking and contract neonatal diseases with higher mortality rates in intensive systems as compared to cattle. The review concludes that all three exhibit similar behaviors from parturition to weaning although the knowledge about the specific needs of buffalo calves should be increased and appropriate management practices implemented to improve their welfare state.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".