257 Total degradable and undegradable protein and carbohydrate supply to dairy cows from the newly developed blended fat stimulated feed product in comparison with commercial protein and energy feeds
Bibliographic record
Abstract
Abstract The objectives of this study were to determine total rumen degradable and undegradable protein and carbohydrate supply to dairy cows from the newly developed value-added blended fat stimulated feed product (BFSFP) in comparison with commercial protein and energy feeds. The new blended fat stimulated feed products with three-batch samples (BFSFP1, BFSFP2, BFSFP3) were developed. Barley grain samples (n = 3) and canola meal samples (n = 3) were obtained from Canadian Feed Research Center. Total rumen degradable and undegradable protein and carbohydrate supply to dairy cows were determined using the updated Cornell Net Carbohydrate and Protein System. The treatment design was a one-way structure. The experimental design was a CRD with feed treatments as a fixed effect. The data were analyzed using the Mixed model procedure of SAS. Tukey method was used for mean separation. The results showed that compared with commercially available energy-rich and protein-rich feeds, the BFSFP had less (P < 0.05) total degradable protein supply to dairy cows (TRDP: 17.0 vs. 23.9, 7.4%DM) and total undegradable protein supply (TRUP: 13.9 vs. 17.8, 5.1%DM) than canola meal and greater than barley grain. For carbohydrate degradable and undegradable supply to dairy cows, the results showed that the BFSFP had greater (P < 0.05) total degradable carbohydrate supply to dairy cows (TRUC) than canola meal and less than barley grain (TRDC: 26.0 vs. 20.8, 56.6%DM, respectively). The BFSFP had greater total undegradable carbohydrate supply (TRUC) than canola meal and barley grain (supply (TRUC: 30.3 vs. 28.7, 26.6%DM, respectively, P = 0.09).
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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) | 0.001 | 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".