Improved Induction of Somatic Embryo in Watermelon [Citrullus lanatus (Thunb.) Matsum. et Nakai]
Bibliographic record
Abstract
In order to optimize somatic embryo induction of watermelon, three different explants from three different varieties were used to induce somatic embryo in medium contained BA in combination with either NAA or 2,4-D. ‘Kangbingjingxin’ cotyledon explant with all of PGR combination treatments has a high callus inductivity (75.6%-98.9%), but inductivity of somatic embryo was varied among different PGR combination, the highest inductivity (54.7%) was obtained in medium with BA 3.0 mg/L and NAA 0.05 mg/L. Somatic embryogenesis was different among ‘Kangbingjingxin’, ‘Zaojia 8424’ and ‘Heimeiren’, the inductivity was 46.2%, 34.1% and 15.7% respectively. Callus inductivity of three explants was 88.9%-98.9%, in which callus induced from cotyledon and cotyledon node was mostly embryonic callus while callus from hypocotyl was non-embryonic callus. Somatic embryo inductivity of cotyledon node (62.0%) was significantly higher than cotyledon (46.1%), there is no somatic embryo induced from hypocotyl. However, somatic embryos number per explant of cotyledon node (2.3) was significantly lower than cotyledon (6.0).
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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) | 0.001 | 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".