Identification of Seed Purity on Hybrid Japonica Rice Using SSR Markers
Bibliographic record
Abstract
In this study, the hybrid japonica rice ‘Huayou 14’ and its parents were used as materials, using SSR molecular marker technology, to select primers and identify seed purity according to its polymorphism. From 48 pairs of candidate SSR molecular markers widely distributed on 12 rice chromosomes, 6 pairs of primers were screened, which showed stable codominance between the hybrid and its parents. Completely distinguished, using these primers to carry out molecular purity identification of ‘Huayou 14’ seeds, and comparing the identification results with the field planting purity identification results, the results showed that the identification results of the two were basically the same. Finally, the RM274 and RM1195 marker combinations with the most polymorphic sites and the most significant differences in specificity were finally determined as core primers, and a more rapid and effective technical method for identifying the seed purity of hybrid japonica rice ‘Huayou 14’ was established.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 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".