PSVIII-36 Late-Breaking: Lipid content of uterus and milk throughout the diestrus stage of the estrous cycle.
Bibliographic record
Abstract
Our objective was to investigate the lipid content of the uterus and milk at early-, mid-, and late-diestrus. Lactating cows (n = 30) had the estrous cycle and ovulation synchronized by administration of exogenous hormones. Cows were blocked by parity and assigned randomly to receive transcervical uterine flushing and biopsy on day 5 (early-diestrus), 10 (mid-diestrus) or 15 (late-diestrus) of the estrous cycle. Flushing and biopsy were performed in the uterine horn ipsilateral to the corpus luteum. The recovered flushing was used for analyses of lipid composition by mass spectroscopy and the biopsy was used for investigation of lipid droplets abundance in the endometrium. Cross-sections of the biopsy were stained with boron-dipyrromethene followed by 40,6-diamidino-2-phenylindole staining. Image analysis was then performed to determine the proportion of the area in the endometrium occupied by lipid droplets. In addition, milk samples were collected from all cows on days 5, 10, and 15 of the estrous cycle, and sent to the CanWest DHI laboratory (Guelph, ON) for determination of milk fat percentage and composition by mid-infrared technology. Data were analyzed by ANOVA using the PROC GLIMMIX of SAS. The abundance of lipid droplets in the endometrium was different (P < 0.01) among the three phases of the estrous cycle, and it was greater in late-diestrus (2.83%; CI: 2.08–3.96), followed by mid-diestrus (1.41%; CI: 1.01–1.98) and early diestrus (0.73%; CI: 0.54–0.98). Percentage of fat in the milk was greater (P = 0.03) in late-diestrus (4.06 ± 0.09%) compared with mid- (3.85 ± 0.10%) and early-diestrus (3.82 ± 0.10%). The results suggest that the lipid content in the uterus and milk changes according to the phase of the diestrus. These differences in lipid content might be associated with the exposure to progesterone during diestrus and might have implications for the physiology of multiple tissues in dairy cows.
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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".