Effects of maturity stage at harvesting of intercropping whole plant faba bean (<i>Vicia faba</i>) with whole plant oat (<i>Avena sativa</i>) silage on the nutritional values for dairy cows
Bibliographic record
Abstract
Studies have shown positive results from faba bean forage and legume–cereal intercropping in cow performance. This study aimed to evaluate the effects of maturity stages (MS) on intercropped faba bean ( Vicia faba, CDC Snowbird)–oats ( Avena sativa, CDC Haymaker) silage. Oats and faba beans were seeded together in Outlook, SK, CA. The faba–oat crop was manually harvested from three plots on days 62 (MS1), 72 (MS2), and 82 (MS3). Wilted samples were chopped (1 in. length) and packed into mini silos ( n = 9). The dry matter (DM) content after wilting was 261, 355, and 421 g/kg for MS1, MS2, and MS3, respectively ( P < 0.01). The crude protein (CP) and carbohydrates (CHO) contents (g/kg DM) in the silage were higher for MS2 and MS3 than for MS1 ( P < 0.05). The net energy for lactation (NELp3x) for MS2 and MS3 was 1.17 and 1.23 Mcal/kg, respectively ( P < 0.01). The silage pH was 6.96 for MS1 and averaged 4.66 for MS2 and MS3 ( P < 0.01). The rumen degradable neutral detergent fibre for MS2 and MS3 averaged 157 g/kg DM ( P = 0.02). Harvesting faba bean–oat forage between 72 and 82 days seems promising to produce good quality silage for lactating dairy cows.
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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".