Physiology related to the use of eCG in beef and dairy cattle
Bibliographic record
Abstract
Equine chorionic gonatrophin (eCG) is a high molecular weight glycoprotein produced by endometrial cups in the mare. ECG has primarily LH activity in the mare, but has FSH or LH activity in the cow, depending on the recipient populations in the ovary. Although eCG has been used to induce superovulation in a variety of species, several studies have demonstrated the beneficial effects of eCG on fixed-time AI (IATF) programs in beef and dairy cattle, and embryo recipients. Under these circumstances, eCG has stimulated the development of the ovulatory dominant follicle and produced ovulation of a larger follicle, resulting in a larger and more functional LC and longer embryo survival. In suckling beef cows, 400 IU of eCG at the time of removal of a progesterone device resulted in increased conception rates after IATF,and in dairy cattle managed in pastoral systems, the eCG administration resulted in a significant increase in pregnancy rates, especially in cows in anestrus. In embryo recipients, treatment with eCG has resulted in increased pregnancy rates after embryo transfer. This presentation will review some of this data and explore strategies to use the potential benefits of eCG to improve bovine reproduction.
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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 | 0.000 |
| 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".