Yield and Composition of Buckwheat Biomass Relative to Forage Use
Bibliographic record
Abstract
Buckwheat (Fagopyrum esculentum Moench), a pseudo-cereal, has potential as a forage crop, cover crop, grain crop for animal feed and human food, honey bee crop, and a smother crop for weed suppression. Even though, buckwheat has a long history in Virginia, currently this crop is almost non-existent in this area. The New Crops Program of Virginia State University started researching buckwheat in 2015 as an alternate food crop and as a plant to support honey bees. These studies led into evaluation of buckwheat as a forage crop. Approximately 30-day old buckwheat tissue of two cultivars (Koto and Mancan), planted on June 22 or July 20 during 2015, yielded 4784 pounds fresh weight and 1000 pounds dry matter per acre. Buckwheat biomass contained approximately 21 percent protein and approximately 6 percent oil. Quality of buckwheat forage compared well with literature values for alfalfa hay, perennial peanut, soybean, white lupin, and Tepary bean forage.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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".