083 Effects of yeast-derived rumen escape microbial protein on lactational performance and metabolic status of transition dairy cows
Bibliographic record
Abstract
In dairy cows, the transition period is the most critical time that is often marked by negative nutrient balance due to high nutrient demands but low dry matter intake. Ruminal-escape protein derived from yeast (YMP) has shown to increase DMI and milk fat percentage in midlactation cows. However, the effects of YMP in transition cows are still unknown. Therefore, the objectives of this study were to evaluate the effects of YMP on dry matter intake, milk yield and components, and blood metabolites in transition cows. Twenty-seven primiparous and multiparous Holstein cows were blocked according to anticipated calving date and parity (1 to 7) and randomly assigned to receive either a control (0 g YMP) or treated (50 g YMP prepartum followed by 200 g YMP postpartum) pellet containing molasses and beet pulp. The pellets were given to individual cows 30 min prior to morning feeding. The experiment started 21 d prior to predicted calving date and ended 28 d postpartum. Blood samples were collected on d −21, −14, −7, −3, −1, 1, 3, 7, 14, 21, and 28 and were analyzed for metabolites, macrominerals, and proteins. In addition, DMI was recorded daily throughout the experimental period. Milk yield was measured daily, and milk samples were collected twice weekly on two non-consecutive days and were analyzed for fat, protein, lactose, somatic cell count, and urea. Supplementing YMP significantly lowered (P < 0.05) serum concentrations of non-esterified fatty acids from d 3 postpartum until the end of the study. Serum concentrations of β-hydroxybutyrate were also lower (P < 0.05) in YMP supplemented cows at d 3 and 7 postpartum. Moreover, YMP supplementation increased (P < 0.05) serum glucose levels at d 3 and 7 postpartum and lowered (P < 0.05) serum aspartate transaminase levels at d 14 and 21 postcalving. Both groups had similar DMI and lactational performance. Overall, our results suggest that YMP supplementation to transition cows may not influence their lactational performance but may significantly improve cow metabolic status during the postpartum period.
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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".