Laparoscopic ovum pick-up followed by in vitro embryo production for the reproductive rescue of aged goats of high genetic value
Bibliographic record
Abstract
The efficiency of laparoscopic ovum pick-up (LOPU) followed by in vitro embryo production (IVEP) in the propagation of aged goats with poor reproductive performance was evaluated in the present study. Follicular development was stimulated in donor goats with 80 mg follicle-stimulating hormone and 300 IU equine chorionic gonadotrophin administered 36 h before LOPU. In addition, goats were heat synchronised with intravaginal sponges containing 60 mg medroxyprogesterone acetate for 10 days and a luteolytic injection of 125 microg cloprostenol 36 h before sponge removal and LOPU. Following in vitro maturation (IVM), oocytes were fertilised in vitro with frozen-thawed semen produced using the egg yolk-free Bioxcell extender (IVM, L'Aigle, France). The average number of follicles aspirated (17.9 +/- 8.0 per goat), oocytes recovered (15.7 +/- 8.4 per goat) and cleavage after IVM/in vitro fertilisation followed by a short 24-h in vitro culture in modified synthetic oviduct fluid medium (72 +/- 7%) were similar to results reported previously by our group and others in younger goats. A total of 296 embryos was transferred into 50 heat-synchronised recipients, of which 40 became pregnant (80%) and 38 progressed all the way to term, delivering 86 live kids. The present study indicates that LOPU-IVEP can be used successfully to extend the reproductive life of valuable goats that have acquired difficulties becoming pregnant by artificial insemination after multiple kiddings.
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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".