In vitro germination of date palm somatic embryos and conversion into plants under dark culture conditions: novel protocol to reducing the time and production costs
Bibliographic record
Abstract
All of previous studies germinated the somatic embryos of date palm under light while neglecting germination under darkness that mimics germination in nature under soil. Studying the effect of light and darkness on the germination of somatic embryos led to the development of a modified protocol for inducing date palm somatic embryo germination and conversion into plants. Two types of somatic embryos were obtained, individual somatic embryos with bipolar structures and cluster primary embryos that multiplied to the cluster somatic embryos. The cluster embryos produced cluster shoots up on germination, while individual embryos developed into a single plantlet. The cluster somatic embryos that germinated in the dark exhibited sustained and vigorous growth, leading to the formation of long etiolated stems with thin leaves. Germination under darkness significantly shortened the conversion period of cluster somatic embryos into plants from 20 weeks, when using light, to only 7 weeks for both germination and elongation in one stage. Moreover, the plants incubated in the dark had the greatest percentage of rooting and plant acclimatization. Taken together, these results led to the development of an efficient new and simple protocol for date palm micropropagation, which led to improved germination and growth and significantly reduced time and costs.
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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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".