Differential Accumulation of Polyphenolics in Black Bean Genotypes Grown in Four Environments
Bibliographic record
Abstract
Environmental effects on polyphenolic composition of pigmented seed coat tissue were examined in four black bean genotypes, grown in four locations in Canada. Genotype was the most significant determinant in the phenotypic expression of flavonoid traits across four locations (p < 0.0001). The genotype x environment interaction was not significantly different for anthocyanin or extractable condensed tannin (syn. proanthocyanidin) but was significant for the bound anthocyanidin concentration (p < 0.05). One trace metabolite, (-)-epicatechin, was identified, but no flavonols were detected in the seed coats. Sequestration of anthocyanin in the seed coat was genotype-dependent and predominantly consisted of delphinidin with lesser amounts of petunidin and malvidin. Pigment sequestration in the two integument layers of the seed coat appeared to be mutually exclusive across all genotypes in terms of the pigment chemical character. Tissue-specific accumulation of extractable and bound anthocyanin in the outer integument was observed. The inner integument was devoid of anthocyanin, and the pigment consisted solely of condensed tannin inclusions. The occurrence of condensed tannin together with anthocyanin pigments, whether extractable or bound either by oxidation or by cross-linking, influenced the visual uniformity of seeds of bean cultivars. The co-occurrence of these compounds could have an effect on postharvest appearance during storage, on canning quality, and on the dietary effects of the putative functional food profile in the black bean market class.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".