Influence of Dietary Cation-Anion Differences (DCAD) on Nutrient Intake, Milk Yield and Metabolic Parameters of Transition Buffaloes
Bibliographic record
Abstract
The study was divided into 2 phases. During 1st phase, 20 pre-partum buffaloes were divided into two groups, given -100 (high negative; HN) and -50 (low negative; LN) mEq/kg of dry matter (DM) diets. In the second phase, +200 (low positive; LP) and +400 (high positive; HP) mEq/kg of DM diets were formulated for postpartum buffaloes. Buffaloes that received LN DCAD were divided into 2 groups (LN-LP and LN-HP), and those that received HN DCAD were also divided into 2 groups (HN-LP and HN-HP). In the first phase, the group fed the HN DCAD diet had significantly lesser DM, nutrient intake, and urine pH (p<0.05) but higher ME intake and ADF digestibility. Also, higher serum phosphorus levels (p<0.05), fewer cases of hypocalcemia and ketosis, and a relatively smaller decrease in body weight were reported with the HN group. In the second phase, DM, organic matter, and NDF intakes were higher (p<0.05) in HN-HP and LN-LP groups, whereas ME intake and nutrient digestibility were higher in HN-LP and LN-HP (p<0.05). Daily milk, solid not fat (SNF), fat, protein, lactose yields, and plasma total protein, urea, and cholesterol concentrations were the highest in the HN-HP group (p<0.05), but the highest fat content and fat yield were recorded in the HN-LP group (p<0.05). Better efficiency of milk production and the lowest cases of hypocalcemia and ketosis were observed for both groups. In conclusion, for transition buffaloes, the HN and LN DCAD (-100 and +200 mEq/kg of DM, respectively) diets showed a beneficial impact.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".