Postruminal infusion of calcium gluconate increases milk fat production and alters fecal volatile fatty acid profile in lactating dairy cows
Bibliographic record
Abstract
Gluconic acid is a carboxylic acid naturally occurring in plants and honey. In nonruminant animals, gluconic acid has been shown to increase gastrointestinal butyrate concentrations and improve growth performance, but a ruminant application remains undescribed. This experiment examined the effects of postruminal calcium gluconate (CaG) on milk production, fecal volatile fatty acid concentrations, and plasma metabolite concentrations in lactating dairy cows. Six rumen cannulated multiparous Holstein cows (60 ± 6 d in milk) were randomly assigned to 6 treatment sequences within a 6 × 6 Latin square design in which each experimental period consisted of 5 d of continuous postruminal infusion followed by a 2 d wash-out period. Test treatments included a negative control (CON; 0.90% NaCl wt/vol), positive control (Na-butyrate, 135 g/d), and 4 doses of CaG (44, 93, 140, and 187 g/d). Cows received a total mixed ration (31% corn silage, 28% alfalfa silage, 5% hay, 36% concentrate) with dry matter intake fixed (25.3 ± 1.7 kg/d) throughout the experiment. On d 5 of each infusion period, samples of milk, feces, and blood were collected from each animal. Calcium gluconate treatments increased milk fat concentration, and a tendency was observed for increased milk fat yield and energy-corrected milk yield above levels achieved by CON, with maximal treatment responses of 4.43% (CON 3.81%), 2.089 kg/d (CON 1.760 kg/d), and 51.8 kg/d (CON 47.1 kg/d), respectively. Concentrations of iso-butyric acid in feces were greater in cows infused with CaG (13.3 µmol/g) treatments compared with CON (9.7 µmol/g). Arterial concentrations of glucose and nonesterified fatty acids were lower (glucose: CaG 2.98 mmol/L, CON 3.29 mmol/L and nonesterified fatty acids: CaG 0.130 mmol/L vs. 0.148 mmol/L) and β-hydroxybutyrate higher (CaG 1.703 vs. CON 0.812) in cows infused with CaG than CON. Together, these results suggest that postruminal infusion of CaG may alter metabolic mechanisms to support a milk fat production response.
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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) | 0.001 | 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 | 0.001 |
| 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".