The Effect of Subacute Ruminal Acidosis of Dairy Cows on Productivity, Digestibility and Greenhouse Gas Emission
Bibliographic record
Abstract
The purpose of this study was to investigate the performance, digestion of the diet and greenhouse gas emission of cows with subacute ruminal acidosis (SARA). Twelve cows were included. The blood parameters, milk yields, manure, and urine of healthy (H group) and cows with SARA (R group) were analyzed. The results showed that the plasma concentrations of total protein (TP) and globulin (GLO) of the R group were significantly lower than those of the H group. Aspartate amino transferase (AST), non-esterified fatty acids (NEFA), beta-hydroxybutyric acid (BHBA), creatinine kinase (CK) and L-lactate were significantly higher in the R group than in the H group. The levels of neutral detergent fiber (NDF) and acid detergent fiber (ADF) in feces from the R group were significantly lower than in the H group. Milk protein and milk fat were significantly lower in the R group than in the H group, and the energy corrected milk (ECM) value of the R group was significantly lower than that of the H group. The emission of ammonia and methane by the R group was slightly lower than by the H group. These results showed that the forage digestibility was significantly higher in the R group than the H group. The performance and ammonia and methane emission in the R group were slightly lower than those of the H group.
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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) | 0.000 | 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 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".