Fatty Acids and Sugars in Lablab Seed Produced in Virginia (A Non-traditional Location)
Bibliographic record
Abstract
Lablab [Lablab purpureus (L.) Sweet], a relatively unknown crop in the United States of America, is understood to be adapted to Southern USA. Even though, previous studies conducted in Virginia have indicated that Lablab can be produced in Virginia as a forage crop, composition of lablab seed produced in Virginia is unknown. To alleviate this limitation, seeds of seventeen lablab lines from a replicated field study, that was conducted for two years, were analyzed for concentrations of fatty acids and sugars. Results indicated that genotypes had mostly significant effects on concentrations of fatty acids and sugars. Prominent fatty acids in lablab seeds, grown in Virginia (USA), were linoleic (53.5%), palmitic (15.8%), and linolenic (14.1%). Mean saturated and total unsaturated fatty acids in lablab seeds were 22.2 and 77.6%, respectively. Mean concentrations of sucrose, fructose, and glucose concentrations in lablab seed were 1.45, 0.42, and 0.78 g per 100 g meal. Mean concentrations of total non-nutritive sugars (Raffinose+Stachyose+Verbascose) in lablab seed were 4.96 g per 100 g meal. Correlations between several nutritional quality traits in lablab seed were observed to be significant. A comparison of nutritional quality of lablab seed with literature values of black bean, navy bean, kidney bean, pinto bean, and pea indicated that lablab has potential as a new food legume for United States of America.
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 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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".