Effects of feeding two levels of propionibacteria to dairy cows on plasma hormones and metabolites
Bibliographic record
Abstract
To determine the effect of feeding propionibacteria on metabolic indicators during lactation, multiparous and primiparous Holstein cows were fed one of three dietary treatments in a 2 x 3 factorial design from 2 weeks prepartum to 30 weeks post partum: (1) Control (primiparous n=5, multiparous n=8) fed a total mixed ration (TMR); (2) high-dose group (primiparous n=6, multiparous n=5) fed TMR plus 6 x 10 (11) cfu/head daily (high-dose P169) of propionibacterium strain P169; or (3) low-dose group (primiparous n=8, multiparous n=6) fed TMR plus 6 x 10(10) cfu/head daily (low-dose P169) of P169. Blood samples were collected weekly and analysed for plasma concentrations of glucose, insulin, insulin-like growth factor-I (IGF-I), leptin, nonesterified fatty acids (NEFA) and cholesterol. Between weeks 25 and 30, all groups received bovine somatotropin (bST) every 2 weeks. Low-dose P169 multiparous cows had lower (P<0.05) plasma insulin and glucose concentrations than high-dose P169 multiparous cows, whereas high-dose P169 primiparous cows had lower glucose but greater insulin concentartions than low-dose P169 primiparous cows (P<0.05). Plasma insulinratioglucose molar ratios were 13-18% lower (P<0.05) in low-dose P169 cows than in control or high-dose P169 cows. Plasma IGF-I, NEFA and leptin levels did not differ among diet groups between weeks 1 and 25. Low-dose P169 multiparous cows had 25% greater plasma cholesterol levels than high-dose P169 and control multiparous cows, but cholesterol levels in primiparous cows did not differ. During bST treatment, high-dose P169 multiparous cows and low-dose P169 primiparous cows had lower IGF-I levels than their respective controls and, regardless of parity, high-dose P169 cows had greater NEFA than control cows. Although supplemental feeding of P169 altered plasma hormones and metabolites, the particular effects were dependent on dose of P169 and parity of cows.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".