Comportamento e desempenho de vacas leiteiras no período de transição de sete dias antes e após o parto
Bibliographic record
Abstract
Dairy cows experience challenges during the transition period, which may put them at risk of diseases such as rumen acidosis and laminitis. The traditional recommendations during the transition period is to feed dairy cows on moderate level of concentrates in the pre-partum and switch it to high grain diet just after calving. However, there are some evidences that this management may cause a bump effect on the feeding intake in the post-partum period. The aim of this work was to study the effect of a constant diet during all transition period on the behaviour; feeding intake and milk yield of dairy cows. Thirty primiparous and multiparous Holstein dairy cows were at random allocated in one group fed on higher fibre diet in the pre-partum followed by a higher concentrate diet in the post-partum (traditional management) and in a second group fed constantly on a higher fibre diet during all transition period. The behaviour and the feeding intake were monitored by an electronic feeding system and data loggers and milk yield data obtained in the milking parlour computer. The animals fed on the constant diet spent more time eating ration in second day post-partum, 142 minutes/day and cows in traditional recommendations 105minutes/day, while cows fed on lactation diet just after calving had higher dry matter intake in day 1 averaging 2.2 kg/day/100 kg LW but not in the following days, longer for cows receiving the constant diet the DMI was 1.7 kg/day/100 kg LW. There were no significant differences between the two diets related to milk yield (P>0.05). Cows fed diets constant throughout the transition period produced an average of 29.0 ± 8.2 liters of milk/day, while those who received traditional treatment ration with the highest concentrate after birth, produced an average of 29.1 ± 7.5 liters of milk/day. These results do not allow to a final conclusion about the recommendation to delay or not to switch diet after post-partum to avoid the bump in dry matter intake during early post-partum.
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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 | 0.002 |
| 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 | 0.001 | 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".