Influence of Parity on Opting Optimal Season for Breeding in Murrah Buffaloes
Bibliographic record
Abstract
Environmental factors place a crucial role in reproductive management of buffaloes by regulating their estrous cycle. Conception occurs if breeding takes place in favorable season where availability of sufficient herbage and water. Influence of parity on selection of breeding seasonal, leads to conception, was not yet reported in murrah buffaloes. Therefore, the present investigation was carried out to analyse the influence of parity on selecting an optimal season for breeding among murrah buffaloes in south India. Sixty reproductively active murrah buffaloes belonged to southern part of Indian subcontinent were recruited in the study and grouped based on their parity. Estrus behaviour, date of mating and consequent pregnancy was recorded for every individual buffalo. A conception rate of 81.67% was achieved with natural mating. Among the 49 pregnant animals, 12 were nulliparous (n=19), 15 were primiparous (n=16) and 22 were multiparous (n=25). Conception rate was high during winter (32.65%), followed by autumn (26.53%), monsoon (20.41%) and pre-winter (20.41%). Major factors such as age, low reproductive efficiency during late winter and early autumn, delayed resumption after calving appears to affect the conception rate. Prolonged summer, extended from March to July, noticed in recent years decreases the duration of other seasons like spring and autumn. Effective breeding of nulliparous was witnessed on winter, primiparous during autumn and multiparous was scheduled from monsoon to pre-winter. The present study concludes that selection of optimal season for breeding was rather influenced by the parity of individual buffaloes.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 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".