Assessment of Genetic Diversity in Wild Rice of Eastern India Using SSR Markers
Bibliographic record
Abstract
Wild rice is an important reservoir of valuable and useful genes. O. rufipogon and O. nivara contain AA genome andare the progenitor of cultivated rice which makes them compatible with the cultivated rice for cross breeding to incorporate the genes for stress tolerance. SSR markers were used to assess the extent of diversity of 26 accessions of O. rufipogon and O. nivara collected from different districts of Orissa, West Bengal and Tripura. The Principal Co-ordinate Analysis (PCA) clearly indicates the clustering pattern and inter-relationships among different accessions. Mantel Z-testexhibitedacorrelation between cophenetic matrix and Jaccards’ similarity coefficient in 26 accessions and 4 CRRI released varieties using 54 STMS (SSR) markers which showed significant correlation (r = 0.8249) between them. O. nivara accessions and O. rufipogon accessions were grouped different clusters. O. nivara collected from Midnapore is placed in different cluster. It is concluded that the SSR markers used were found to be equally informative for the genetic diversity study between and among the accessions of two wild species such as O. rufipogon and O. nivara collected from different locations of Orissa, West Bengal & Tripura. Highlysignificant morphological variations were also observed among O. nivara and O. rufipogon accessions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 teacher head, 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".