Cultivar and Growing Location Effects on White Lupin Immature Green Seeds
Bibliographic record
Abstract
Mature white lupin (Lupinus albus L., Fabaceae) seeds have been used as food for over 3000 years around the Mediterranean and for as much as 6,000 years in the Andean highlands. However, no information is available about use of immature green lupin seeds as human food similar to that of vegetable soybean (Edamame) and green peas. We studied yield and protein content of green immature seeds of ten white lupin cultivars grown at two locations in Virginia over 2005-06 and 2006-07 crop seasons. Location effects were, generally, non-significant whereas cultivar effects were significant for pod yield and number of pods per hectare and non-significant for number of seeds per pod, shelling percent, and protein content whereas location effects were significant only for protein content. The mean values for pod yield (kg.ha-1), number of pods per hectare, number seeds per pod, shelling percent, and protein content of green immature white lupin seeds were 18098, 3402899, 4, 32, and 33, respectively. These results, when compared to literature values for Edamame and green peas, were encouraging and indicated that green immature white lupin seeds may have potential as human food.
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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 | 0.001 |
| 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".