Potential SNPs related to microspore culture in <i>Raphanus sativus</i> based on a single-marker analysis
Bibliographic record
Abstract
Radish (Raphanus sativus) is an economically important crop grown for its edible roots and leaves. It is a self-incompatible, outcrossing species, making the production of homozygous lines and the development of breeding populations difficult. However, this can be overcome with haploids production techniques using isolated microspores, providing the rapid production of homozygous lines for breeding. Thus, it would be useful to identify radishes with a high regeneration rate from microspore culture. In the current study, 96 radish cultivars or germplasms were evaluated for high regeneration rates. Also, a single-marker analysis (SMA) was applied to detect single nucleotide polymorphisms (SNPs) potentially associated with this trait using genotype-by-sequencing (GBS) technology. The regeneration rate from microspore culture of 96 lines showed a wide range, from 0% to 269.5%. From the SMA, 52 markers were detected at a p value of 0.001 and a total of 11 physically nearby genes with high levels of similarity in various species were identified as candidates for high regeneration rates. This result could be used for clarifying the genetic basis underlying these traits and developing molecular markers associated with regeneration rates and would be beneficial for generating homozygous inbred lines.
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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".