Exploring Relationships Between Cow-Calf Management Systems as Affected by Protein Level and Methionine Supplementation in Late Gestation on Cow-Calf Performance Prior to Weaning
Bibliographic record
Abstract
The objective of this study was to assess impacts of protein and methionine nutrition during gestation and two lactational management systems on the performance of cow-calf pairs prior to weaning. Late gestation beef cows were fed to meet 90%, 100%, or 110% of metabolizable protein requirements, with(without) rumen-protected methionine. Postpartum, cow-calf pairs were managed in drylot and fed a ration formulated to meet nutrient requirements, or rotationally grazed on pasture. Prepartum nutrition did not impact calf performance prior to weaning, but may have affected cow performance during lactation. Both gestational protein supply and lactational management system altered methane emissions throughout lactation. Rotationally grazing cow-calf pairs improved pre-weaning calf performance, but reduced cow gains throughout lactation. In addition, nutrition and management did not impact reproductive performance. This study demonstrated that managing cow-calf pairs on pasture prior to weaning produced healthier and heavier calves, without sacrificing dam reproductive performance.
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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 | 0.001 |
| 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) | 0.001 | 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".