Effects of FSH application methods on super-ovulatory response in Poor Dorset sheep
Bibliographic record
Abstract
In order to investigate effects of types and doses of FSH,and times and season of FSH injection on superovulation response,206 Poor Dorset ewes were superovulated with FSH produced in Chinese Academy of Sciences(CAS),Ningbo(NB) or Canada(CA).Estrous rate of donors,number of recovered embryos,number of transferable embryos,percentage of regressed-unfertilized embryos and performance of donors were observed.The effective superovulation response was achieved in suitable dose ranges regardless of the type of FSH,but the number of recovered embryos and transferable embryos were improved by combining use of NB-FSH with CAS-FSH.Compared with 6 times progressive decrease injection,the effect of 7 or 8 times injection was more ideal.The superovulation response in autumn was better than that in spring,summer and winter.The variability of response to FSH treatment and the fertilization failure also occurred.The results showed that the superovulation response is controlled by extrinsic FSH only to a(certain) extent,and further studies should consider the relationship between extrinsic FSH and endocrine(response).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".