Effects of feeding <i>Aspergillus oryzae</i> fermentation product to transition Holstein cows on performance and health
Bibliographic record
Abstract
Two experiments examined the effects of Aspergillus oryzae fermentation product (AO; Amaferm®; BioZyme Inc., St. Joseph, MO, USA) on productive variables in transition dairy cows. In experiment 1, 33 Holstein cows (22 multiparous and 11 primiparous) were enrolled from −21 to 60 days in milk (DIM). Cows were individually fed either a control total mixed ration (TMR) diet consisting of primarily alfalfa hay and steam-flaked corn [62:38 and 59:41, forage:concentrate (F:C) for prepartum and postpartum phases, respectively] or the control diet along with 15 g d−1 of AO. In experiment 2, 455 multiparous Holstein cows were enrolled from −21 to 121 DIM. Cows were group-fed either a control TMR diet (n = 228) consisting primarily of corn silage and rolled corn (44:56, F:C) or the control diet (n = 227) with 15 g d−1 of AO. In experiment 1, cows fed AO had increased (P < 0.05) milk production compared with controls (37.7 vs. 34.6 kg d−1). Milk composition, dry matter intake, body weight (BW), and BW loss both prepartum and postpartum did not differ (P > 0.10) between treatments. Cows fed AO tended to have decreased plasma nonesterified fatty acids levels (14%, P < 0.10), but plasma glucose concentration did not differ (P = 0.89). In experiment 2, cows fed AO had decreased milk yield (43.0 vs. 43.8; P < 0.05), and increased milk fat content (3.50% vs. 3.38%; P < 0.01) but similar quantities of 3.5% fat-corrected milk (42.5 vs. 42.7 kg d−1; P > 0.10). Results suggest that AO has the potential to improve aspects of milk production efficiency, but the percentage and types of forage utilized may influence the 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 | 0.001 | 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".