Benefits of synchronizing ovulation with porcine luteinizing hormone in a fixed-time insemination protocol in weaned multiparous sows
Bibliographic record
Abstract
Objective: To determine reproductive performance of weaned sows inseminated twice at fixed times after controlling time of ovulation with porcine luteinizing hormone (pLH) administered at onset of behavioral estrus. Materials and methods: Multiparous sows were randomly assigned to treatment at weaning. From weaning, twice-daily boar exposure facilitated estrus detection. Untreated control sows (n = 150; CONT) were artificially inseminated at least twice. Treated sows (n = 168; LUT) received 5 mg pLH intramuscularly concomitant with the first detection of standing heat. To coincide with the normal working day, sows in estrus in the morning were inseminated at 24 and 30 hours (am and pm), while sows in estrus in the afternoon were inseminated at 24 and 42 hours (pm and am), after pLH administration. Results: For multiparous sows bred on days 4 to 6 after weaning, total-born litter size was greater in LUT than in CONT (12.88 and 11.80, respectively; P < .01), whereas adjusted farrowing rate was not affected by treatment, (LUT, 87.28%; CONT, 83.20%; P > .05). Neither variable was affected by day of breeding or a treatment × day interaction (P > .05). Fewer inseminations (P < .001) were performed in LUT (2.00) than in CONT (2.13). Implication: Double insemination of multiparous sows, timed to coincide with optimal sow fertility, may improve litter size.
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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 | 0.001 |
| 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".