Yield and Nutritional Quality Traits of White Lupin Sprouts
Bibliographic record
Abstract
Use of mature lupin seeds for human nutrition has been prevalent since ancient times. Lupin seed have been used as food for over 3000 years around the Mediterranean and for as much as 6000 years in the Andean highlands. However, no information is available about value-added products from lupin, especially white lupin (Lupinus albus L.), for human consumption. We prepared sprouts from seed of eight white lupin genotypes, grown at two locations in Virginia during 2003-04 crop season. These sprouts were analyzed for various traits. Location effects were significantly for all traits except for moisture content of sprouts whereas genotypic effects were significant only for fresh sprout yield. The mean values for fresh yield (g) and contents (percent on dry weight basis) of moisture, crude fiber, oil, and protein, in white lupin sprouts were 74.8, 78.4, 16.7, 7.6, and 41.3, respectively. Oil and protein contents of white lupin sprouts were similar to alfalfa sprouts whereas white lupin sprouts had higher contents of oil and protein than mungbean sprouts. Based on crude fiber content, white lupin sprouts were superior to alfalfa and mungbean sprouts. Results indicated that white lupin sprouts have potential as human food.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".