Forage Yield, Chemical Composition and In Vitro Gas Production of Triticale (X Triticosecale wittmack) and Barley (Hordeum vulgare) asociated with Common Vetch (Vicia sativa) Preserved as Hay or Silage
Bibliographic record
Abstract
Forage cereals are deficient in protein, but legumes are acceptable in protein quality; the association of both forages can increase their nutritional value and biomass production. The objectives were to evaluate forage yield, chemical composition, energy content and In Vitro gas production of varieties of triticale (UAEMex and Siglo XXI), barley (Doña Josefa) and its association with common vetch, harvested at 145 days (milky-dough stage); a portion was ensiled and the other was hayed. Data were analyzed by a completely randomized design, and by using non-orthogonal contrasts to compare means of barley against triticale, common vetch and unicrops vs. associations. There were differences (P < 0.001) in DM (dry matter) production, being higher triticale Siglo XXI and associated with common vetch (6.50 and 5.4 ton DM/ha respectively), the highest CP content (P < 0.001) was for common vetch (234 g/kg DM) and their associations (187±2 g/kg DM). NDF content showed no differences between varieties and their associations (P > 0.302). Doña Josefa Barley showed a higher content (P < 0.05) of TDN (65%), NEl 1.4, and NEg0.8 Mcal/kg DM in both methods of preservation. Total gas production (ml/g DM), was higher for the association of Doña Josefa barley to common vetch (P < 0.05) (127±6 ml gas/g DM) compared to the rest (117±3 ml gas/g DM). As a conclusion, associations of barley or triticale to Siglo XXI with common vetch as hay or silage, allows us to consider them as an option to incorporate into the processes of production of livestock feed in high valleys.
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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".