228 DOMINANT FOLLICLE ABLATION IMPROVES SUPEROVULATORY RESPONSE AND EMBRYO YIELD IN BUFFALOES SUBJECTED TO INTEGRATED SINGLE-OVULATION EMBRYO TRANSFER–MULTIPLE-OVULATION EMBRYO TRANSFER PROGRAM
Bibliographic record
Abstract
Effect of the removal of inhibitory consequences of a dominant follicle (DF) on the recruitment, growth and ovulation of follicles in cyclic buffaloes induced to superovulate, was evaluated. Eight elite, multiparous, donor Murrah buffaloes, 80 to 120 days postpartum, were included in an integrated single-ovulation embryo transfer–multiple-ovulation embryo transfer (SOET-MOET) schedule. Superovulation with FSH (Folltropin® NIH-FSH-P1, Bioniche Animal Health, Belleville, ON, Canada) was preceded by nonsurgical single embryo (SOET) recovery on Day 5 or 6 after prostaglandin F2a (Lutalyse®, Pfizer, Madison, NJ, USA)-induced oestrus and AI (Day 0). For MOET, Folltropin was administered from Day 9 p.m. through to Day 13 p.m. in a twice-daily descending dose schedule (0–5, 5–4, 4–3, 3–2, 2–1 mL; total dose of 580 mg of NIH-FSH-P1). A dose of 25 mg of Lutalyse was administered on Day 12 a.m. and p.m. Donors were inseminated with proven semen on Day 14 a.m. and p.m. and Day 15 a.m. Nonsurgical embryo collection was carried out on Day 19 or 20 followed by administration of Lutalyse on Day 25. Following sexual rest for one complete oestrous cycle, Day 5 or 6 SOET was repeated. On Day 9, ultrasound-guided follicle aspiration was used to ablate the DF and the second MOET treatment was initiated at the same time. Mean diameter of DF at the start of superovulation treatment on Day 9 was similar between the first (12.5 ± 0.66 mm) and second (12.2 ± 0.33 mm) MOET cycles. At AI, mean number (9.6 ± 1.43 vs 13.4 ± 1.87) of follicles >9 mm were higher (P < 0.05) in the second (ablation) MOET cycle, though their mean diameters were similar (11.7 ± 0.21 vs 12.3 ± 0.21 mm; P = 0.17). On the day of ova/embryo collection, almost similar numbers of large follicles (4.1 ± 0.93 and 4.4 ± 0.84), with mean diameters of 12.9 ± 0.74 and 13.4 ± 0.83 mm, were observed for the first and second MOET, respectively. Mean (± SEM) numbers of corpora lutea (3.9 ± 0.81 and 4.9 ± 0.61; P = 0.19) and transferable quality embryos (0.6 ± 0.37 and 1.6 ± 0.37; P = 0.077) were counted in the first and second (ablation) MOET cycles, respectively. These preliminary findings suggest that ablation of DF before start of superovulatory treatment may be beneficial in improving the yield of transferable embryos in a buffalo MOET program. Director, CIRB, is acknowledged for the experimental facilities.
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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) | 0.002 | 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".