1156 Effects of Omnigen-AF supplementation on body temperature, milk production, and somatic cell count in lactating dairy cows
Bibliographic record
Abstract
The objective this study was to evaluate the effects of Omnigen-AF (OMN; Phibro Animal Health, Teaneck, NJ) supplementation on body temperature, and production variables of lactating dairy cows. Thirty-two Holstein × Gir cows (100 ± 10 d in milk) were assigned to either control or OMN treated groups, balanced for previous milk production, parity, and body condition score. Dietary treatments were individually fed to cows once daily after the morning milking, at a rate of 56 g/day of kaolin (rumen-inert substance) or OMN added to 200 g of ground corn used as carrier for 56 d, and separated from the TMR diet that was fed ad libitum and formulated to meet or exceed cow nutritional requirements. Temperature and humidity loggers were used to record environmental data and temperature-humidity index. To assess body temperature, each animal was inserted with a thermometer coupled to an intravaginal device from d 15 to 28, and d 43 to 56 of the experiment. Thermometers were set to measure vaginal temperature every 10 min, and values were averaged hourly. Supplementation with OMN increased (P < 0.01) milk yield (21.3 vs. 20.1 kg/d for OMN and control, respectively; SEM = 0.13) and DMI (17.6 vs. 16.6 kg/d for OMN and control, respectively; SEM = 0.19), and decreased (P = 0.06) milk somatic cells count (5.30 vs. 5.48 log10 cells/mL for OMN and control, respectively; SEM = 0.05). Treatment × time interactions were not significant (P ≥ 0.15) for the production variables analyzed herein. Furthermore, when environmental temperature-humidity index was > 68, cows supplemented with OMN remained less (P < 0.01) time with body temperature above 39.1°C (38 vs. 45% for OMN and control, respectively; SEM = 0.05%). In conclusion, supplementing OMN to lactating dairy cows increased milk yield and DMI, decreased milk somatic cells count, and reduced incidence of rectal temperature above 39.1°C under heat stress conditions.
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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 | 0.000 |
| 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".