The effect of dry period length reduction to 28 days on the performance of multiparous dairy cows in the subsequent lactation
Bibliographic record
Abstract
In a controlled study, the effects of shortened and conventional dry periods (28.2 ± 4.6 vs. 48.8 ± 4 d) on performance of multiparous cow were evaluated. Seventy multiparous Holstein cows were randomly assigned to either a 28- or a 49-d dry period length (DPL). Nine cows were removed from the study and 61 cows were used in the statistical analysis. Cows in the 28-d DPL group were moved to close-up pen and fed only close-up ration during the dry period, whereas those in the 49-d DPL group were given a far-off diet after dry-off until 28 d before expected calving, and then fed the same diet as the cows in the 28-d DPL group. Daily milk yield production was significantly reduced in the 28-d DPL group compared with the 49-d DPL group through 210 d in milk (DIM). Neither milk protein nor milk fat was changed in experimental groups. However, fat yield tended to be greater in the 49 d DPL compared with the 28 d DPL. Cows with 28 d DPL lost less body condition in peripartum and gained more body condition score (BCS) by 150 DIM. No differences were detected in health disorders, reproduction efficiency and birth weights of calves due to shortened dry period. Our data demonstrate that a shortened dry period under employed management practices is a good management tool in attenuating negative energy balance status without adversely affecting total milk production. Key words: Dry period, management, multiparous dairy cow, performance, body condition score
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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".