Differences in Blood and Milk Fatty Acid Profile of Primiparous and Multiparous Mediterranean Buffaloes Cows During Transition Period and Early Lactation
Bibliographic record
Abstract
The objective of this study was to determine the differences in blood and fatty acid (FA) profile between primiparous and multiparous Mediterranean buffaloes cows from 28 days of expected calving date until 56 days in milk. Nine multiparous (MUL) and 7 primiparous (PRI) cows were used in the present study, animals grazed in Brachiaria decumbens and supplemented with 2.0 kg of concentrate/day. Blood and milk samples were collected once a week and data were submitted to repeated measures analysis using PROC MIXED of SAS. Multiparous cows presented higher concentrations of glucose and non-esterified FA during pre- and post-partum period, higher cholesterol during post-partum when compared to PRI. Milk yield and fat content were higher for MUL (6.44 kg/d and 7.89%) when compared to PRI (5.66 kg/d and 6.75%). Palmitic and palmitoleic FA were lower and C18:0, C18:1 trans-11 and C18:1 cis-9 FAwere higher in MUL cows. Multiparous buffalo cows demonstrated higher milk yield and fat content than PRI, and milk FA profile of MUL had higher amounts of C18:0 FA. Multiparous buffalos presented higher non-esterified fatty acid, which altered milk fat content, and higher milk yield than primiparous cows. Furthermore, multiparous cows presented a higher content of FA from incomplete biohydrogenation process.
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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".