Ознакова колекція сочевиці (Lens culinaris Medik.) за харчовою цінністю насіння
Bibliographic record
Abstract
The study purpose was to summarize and analyze multi-year data on the nutritional quality of lentil (Lens culinaris Medik.) accessions from the basic collection of the National Center for Plant Genetic Resources of Ukraine (NCPGRU). Materials and methods. In 1992–2018, 555 accessions of the NCPGRU’s basic collection of lentils were studied. Lens culinaris Medik. accessions were represented by two subspecies: subsp. microsperma and subsp. macrosperma. The collection accessions of lentils were investigated and morphologically described; they were grouped by economic and biological features according to the Classifier of the genus Lens L. The protein content in seeds was determined by the Kjeldahl digestion in the Laboratory of Genetics, Biotechnology and Quality of the Plant Production Institute nd. a. VYa Yuriev NAAS. Results and discussion. The nutritional parameters of lentil seeds were evaluated in the full ripeness phase: protein content, cooking time, palatability, colors of cotyledons and seed coat, resistance to infuscation, and seed size. As to the protein content in seeds, the collection includes the following accessions: with a very high protein content (>30%) – one reference accession UD0600398 (Ukraine) with the protein content of 30.34%; with high protein content (29-30%) – 26 accessions; with medium protein content (26–28%) – 55 accessions; with low protein content (20–25%) – 79 accessions. As to the cooking boiling rate, the collection includes 154 accessions: with a very good rate (< 40 minutes) – 45 accessions; with a good rate (40–60 minutes) – 89 accessions; with a medium rate (61–80 minutes) – 20 accessions. Reference accessions for various levels of lentil palatability were distinguished and included in the collection: very low palatability (3 points) – LUG 330/04 (Ukraine); low palatability (5 points) – 1743 T 19 (Canada); high palatability (7 points) – Miledi, (Russia). The seed appearance is an important aspect of the market value of food lentils: the seed coat color, cotyledon color, resistance to infuscation. The accessions were grouped by cotyledon color as follows: yellow – 87 accessions; hot-yellow – 67 accessions; green – 6 accessions. In accordance with the Classifier of the genus Lens, there are currently eight types of the seed coat pigmentation; their references are listed below: white – LUG 45/09 (Ukraine); pink – LUG 116/09 (Ukraine); green – Zelenyy Chervonets (Ukraine); yellow-green – Krasnohradska 250 (Ukraine); gray – 1743 T 19 (Canada); gray-red – Elista (Slovakia); brown – UD0600444 (Ethiopia); and black – Beluga (Israel). Given the ability of the seed coat to infuscate, the reference accessions for this trait were chosen: infuscating – Krasnohradska 250 (Ukraine); non-infuscating – LUG 45/09 (Ukraine).
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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 | 0.001 | 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) | 0.003 | 0.002 |
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".