CAHARACTERIZATION OF DURUM WHEAT (Triticum durum desf) CULTIVARS IN TERMS OF GLIADIN AND GLUTENIN PROTEIN COMPOSITION
Bibliographic record
Abstract
In these days, the quality has become the most important topic in durum wheat in the World. For this purpose, the study was on quality of durum wheat conducted using electrophoresis. In the study, ten durum wheat (commonly cultivated in the region) samples were evaluated for high molecular weight (HGMW-GS) and low molecular weight glutenin subunit(LGMW-GS) composition using SDS-PAGE with Kyle cultivar as a reference. In terms of LMW, data indicated that all cultivar had LMW-2 similar to Kyle cultivar, except SarA±canak 98. On the basis of elektrophoretic seperation of gliadin fraction it was found that 9 cultivar contained y-45, While SarA±canak 98 had y-42. On the other hand, in terms of HMW, all cultivar were similar in four location except GuneyyA±ldA±zA±. Cultivars with glutenin allele LMW-2 (or gliadin band y-45) generally give stronger gluten than cultivars with allele LMW-1 (or gliadin band y- 42).
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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".