Headspace volatile components of Canadian grown low‐tannin faba bean (<i>Vicia faba</i> L.) genotypes
Bibliographic record
Abstract
BACKGROUND: As flavor is a prerequisite for palatability of new crop varieties, 13 Canadian-grown, low-tannin faba bean genotypes were evaluated for volatile components isolated with headspace solid-phase microextraction, and analyzed with gas chromatography-mass spectrometry. RESULTS: A total of 45 volatiles consisting of aldehydes, aromatic hydrocarbons, alcohols, ketones and alkanes represented on average 57, 15, 14, 5 and 4.5% of the total peak area, respectively. Total extractable volatiles were highly location dependent, whereas 10 headspace volatiles (1-pentanol, 1-hexanol, pentanal, (E)-2-heptenal, 2-ethylfuran, 2-pentylfuran, acetone, 2-butanone, 2-heptanone and 3-octen-2-one) were genotype specific and/or regulated by environmental conditions. Multivariate data analysis performed on the functional group of the volatiles using principal component analysis and cluster analysis demonstrates that the total extractable volatiles were the major factor segregating faba bean genotypes. CONCLUSION: The solid-phase microextraction technique proved to be a rapid and effective method for routine evaluation of faba bean volatile profile that may be applicable in a screening/plant breeding program.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".