143 SUPEROVULATORY RESPONSE AND EMBRYO PRODUCTION INFLUENCED BY THE ADDITION OF LH AND EFFECT OF THE REPEATABILITY IN SANTA INêS SHEEP
Bibliographic record
Abstract
The aim this study was to evaluate the effect of the addition of LH in superovulatory response and embryo production in Santa Inês sheep. Ten donors with 60.3 ± 10.7 kg and BCS of 3.9 ± 0.3 were superovulated in a cross-over design, with a 60-day interval. Estrus was synchronized with a progesterone-releasing intravaginal device (CIDR™; Pfizer Animal Health, Brazil) inserted on Day 0 and replaced by a new one on Day 7, that was maintained to Day 14. Two doses of 37.5 g of D-cloprostenol (Prolise™, Arsa, Buenos Aires, Argentina) were administered, on Days 7 and 14. Donors also receive 256 mg of pFSH (Folltropin™, Bioniche, Belleville, ON, Canada) in 8 decreasing doses, starting on Day 12. On Day 14, all females received 200 IU of eCG (Novormon ™, Syntex, Argentina). On Day 15, the animals were homogeneously allocated in 1 of 2 groups: Control (GC, n = 10) and treated (G-LH, n = 10). Ewes in GC did not receive exogenous LH, whereas ewes in G-LH were treated with 7.5 mg of LH (Lutropin™, Bioniche), on Day 15. All females were inseminated by laparoscopy, with frozen–thawed semen, 42 and 48 h after CIDR removal. On Day 21, the embryos were surgically collected. The superovulatory response was classified in scores: (0) 4 or fewer CL; (1) between 5 and 10 CL, and (2) 11 or more CL. Means were compared using Kruskal-Wallis test and percentages using chi-square (P < 0.05). Most of donors (70%, 7/10) from G-LH presented a superovulatory response classified as score 2, and the remaining (30%, 3/10) as score 1, whereas, half of the controls were classified as score 2 and half as score 1. Ovulation rate tended to be greater in G-LH (135/158, 85.4% v. 105/135, 77.7%, P = 0.08). The number of CL (mean ± SD) was 10.5 ± 3.8 in GC and 13.5 ± 4.84 in G-LH, but was not statistically different. The number of anovulatory follicles (AF) did not differ between groups (GC: 3.0 ± 3.2; G-LH: 2.3 ± 1.6), but the proportion of AF tended to decrease in G-LH (30/135, 22.2% v. 23/158, 14.5%, P = 0.08). Considering embryo production, there was no difference between GC and G-LH (P > 0.05) related to number of recovered ova/embryos (6.1 ± 4.6 v. 8.4 ± 5.2), viable embryos (3.8 ± 4.3 v. 4.2 ± 5.2), unfertilized (1.7 ± 3.4 v. 2.0 ± 2.9) and degenerated embryos (0.7 ± 0.7 v. 2.2 ± 2.9), respectively. Data showed that the addition of LH tended to increase ovulation rate and to decrease the proportion of AF, but did not affect the number of viable embryos.
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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".