Anthocyanin content in grains of barley and oat accessions from the VIR collection
Bibliographic record
Abstract
Background. Barley (Hordeum vulgare L.) and oat (Avena sativa L.) are grain crops belonging to one of the main sources of food and forage in the Russian Federation. They contain proteins, various groups of vitamins, fats, carbohydrates, β-glucans, minerals and different bioloactive compounds, including anthocyanins. Recently, much attention has been given to anthocyanins due to their various valuable properties. Therefore, the grain of barley and oat is a potentially promising economic product and a component of functional nutrition. The aim of this work was to estimate the content of anthocyanins in barley and oat accessions with different pigmentation of kernels and lemma. Materials and methods. 32 barley and 11 oat accessions were studied by spectrophotometry. Anthocyanins were extracted from barley and oat kernels with a 1% HCl solution in methanol. Results and discussion. As a result of the study, accessions and varieties with the highest content of anthocyanins were identified: for barley these are k-15904 (China), k-19906 (Mongolia), k-18709 (Japan), k-18723, k-18729 (Canada), k-17725 (Turkey) belonging to var. violaceum; k-29568 (Japan) – var. densoviolaceum; k-8690 (Ethiopia) – var. griseinigrum; k-28205 (Germany) – var. nudidubium; and for oat these are k-15527 (A. ayssinica Hochst. var. braunii Koern., Ethiopia) and k-15245 (A. strigosa Schreb. subsp. brevis var. tephera Mordv. ex Sold. et Rod., Poland). Conclusion. The obtained results demonstrated that the VIR collection includes accessions with potential value for the development of varieties with an increased anthocyanin content, which can be used as functional food products.
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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 | 0.001 |
| 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) | 0.001 | 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".