Gynogenesis and doubled haploid production from unpollinated ovary culture of cucumber (Cucumis sativus L.)
Bibliographic record
Abstract
The effects of the genotypes of donor plants and three steps of culture media (induction, differentiation, and regeneration media) were evaluated in unpollinated ovary culture of cucumber (Cucumis sativus L.) to obtain the best combination of culture media for doubled haploid (DH) production of recalcitrant cultivars. Embryo-like structure (ELS) formation was significantly affected by differentiation and regeneration media. The highest percentages of ELS formation (59.89%) were obtained when the ovaries were cultured on the D2 second step culture medium and transferred to the newly developed MS medium supplemented with several plant growth regulators and additives, MST3+, the third step culture medium. However, there was no significant effect of the genotypes and induction (first step culture) media on ELS and callus formation. The ELSs developed into shoots when transferred to the third step culture media and complete plantlets were obtained after rooting on the MS medium with no supplement (MS0). Among the 10 regenerated plantlets that survived after transplanting to soil, three were identified as haploid (H) plantlets (2n = x = 7), one was a triploid plantlet (2n = 3x = 21), and six were diploid plantlets (2n = 2x = 14). Inter-simple sequence repeat analysis confirmed that these six diploids were DH plantlets. These results suggest that the newly developed media are useful for the future production of cucumber DHs.
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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 | 0.000 | 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) | 0.001 | 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".