Hormonal control of the estrous cycle of the ewe during the breeding and non-breeding period
Bibliographic record
Abstract
During normal breeding, the oral administration of 6-α-methyl-17-α-acetoxyprogesterone (MAP) or 6-chloro-Δ⁶-dehydro-17-acetoxyprogesterone (CAP) for 10 days successfully replaced Progesterone and Reposital Progesterone injections as treatments for inducing and synchronizing of estrus in adult ewes. During non-breeding, the oral administration of HAP or CAP over a period of 17 and 14 days respectively, successfully induced and synchronized estrus in dry and lactating ewes. CAP was found to be more potent in its progestational activity as compared to MAP. The supplementary treatment of Pregnant Mare Serum (P.M.S.) did not result in a significant increase of lambing percentage during the breeding period. The high dose of P.M.S. (1500 vs 1000 I.U.) did not appear to have any facilitating effect with regard to occurrence of induced estrus and increased lamb crop percentage during the anestrus period. Additional treatment with estradiol-17-β did not facilitate the occurrence of first induced estrus in treated ewes during the non-breeding period. The results indicate that conception and lambing rates are better from dry ewes than from lactating ewes during the anestrus period. The conception and lambing rates tend to improve when hormonal treatment is administered near the end of anestrus, as compared to hormonal treatment in the middle of the anestrus period.
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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".