Seasonal Variation of Calving in Murrah Buffalo in Bihar
Bibliographic record
Abstract
The present study was carried out to estimate the seasonal variation of calving in Murrah buffaloes. The study was conducted in North West alluvial plain of Bihar (Chappra, Siwan and Samastipur), of India on 773 Murrah buffaloes, and these buffaloes were inseminated during June 2010 to December 2014 at BAIF's field Artificial Insemination centres which provide door-step artificial insemination service at village's level. The result indicated that the calving of Murrah buffaloes occurred throughout the year. In Chhapra maximum calving observed in August, i.e. 17% while 14% in October. September and November 13% each. Based on season majority of calving observed between July to January. In Samastipur maximum calving observed in August 16% while in September 14 % followed by November 13% and October month 11%. Based on season majority of calving observed between July to January months. In Samastipur maximum calving observed in August 16% while in September 14% followed by November 13% and October 11%. Based on season majority of calving found between July to January months. It could be concluded that Murrah buffaloes tend to calve more in the days with shorter photoperiod as compared to days with more extended photoperiod.
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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 | 0.001 | 0.001 |
| 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".