Study of Genetic Variation among Some Wild Landraces of Zingiber officinale Roscoe Correlated with Their Antioxidant Potential Status
Bibliographic record
Abstract
DNA fingerprinting based genotype characterization and assessment of genetic diversity of fifteen wild landraces of Zingiber officinale. Roscoe, collected from different parts of northern West Bengal, India, has been done using 16 random decamer primers. Out of 117 amplified products, 97 bands showed polymorphism (82.90%) and an average of 7.5 bands was amplified per primer. The genetic similarity coefficients among accessions ranged from 0.673 to 0.912 with an average of 0.792. Cluster analysis based on Jaccard’s similarity coefficient using UPGMA grouped the landraces into three clusters: cluster I consisting of 5 landraces, Cluster II consisting of 6 landraces, and cluster III of 4 landraces; Antioxidant potential status of these genotypes exhibit variation that shows grouping comparable with the RAPD based dendogram (reflecting genetic relatedness) of the landraces.
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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".