Assessment of Antinutritional Compounds and Chemotaxonomic Relationships between<i>Camelina sativa</i>and Its Wild Relatives
Bibliographic record
Abstract
We compared the secondary metabolite composition in seeds of Camelina sativa and its wild relatives to identify potential germplasm with reduced levels of antinutritional compounds. Twenty Camelina accessions, from five different species, were analyzed by liquid chromatography mass spectrometry and subjected to principal component analysis, which revealed that Camelina spp. separated into distinct chemotaxonomic groups. Three major glucosinolates (GSs) were identified in our study, namely, 9-methylsulfinylnonyl GS (GS9), 10-methylsulfinyldecyl GS (GS10), and 11-methylsulfinylundecyl GS (GS11). While there were differences in total GS levels, species-specific patterns for GS9 and GS11 were noted. Sinapine content ranged between 1.4 and 5.6 mg/g FW, with the lowest levels observed in C. laxa and C. sativa. Lignin levels were also lowest in C. sativa, with most accessions containing less than 6 mg/g FW. Our results show that wild Camelina spp. have distinct metabolomes, and based on their levels of major antinutritionals, some could be incorporated into breeding programs with C. sativa.
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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 | 0.001 | 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".