Establishment of an in vitro regeneration system for genetic transformation of selected sugarcane genotypes
Bibliographic record
Abstract
A good culture system provides considerable quantities of highly regenerable target tissues. Embryogenic callus cultures are ideal for micro-projectile-mediated transformation, because regenerable cells are not very stable. Effective exploitation of genetic transformation requires good regeneration systems. We selected three sugarcane genotypes for the establishment and optimization of good in vitro regeneration systems, viz., S-2003-us-359, S-2006-sp-30, and S-2003-us-165. Three callus induction media were investigated. These media were composed of Murashige and Skoog (MS) medium salt plus 1, 2, and 3 mg/L 2,4-dichlorophenoxyacetic acid (2,4-D). Medium with 3 mg/L 2,4-D gave the greatest mass of embryogenic calli. The calli produced on the three callus induction media were transferred to 18 types of regeneration media (RM1-RM18). They varied with respect to plant growth regulators and sucrose levels but the basal medium was MS. Two levels of sucrose (30 and 40 g/L), three levels of 2,4-D (0.1, 0.25, 0.5 mg/L) and three levels of 6-benzylaminopurine (0, 0.25 and 0.5 mg/L) were studied in the regeneration media. The effects of callus age on regeneration were evaluated by transferring the calli to regeneration media after 15, 21, 28, and 35 days of culture. The 21-day-old callus of the genotype S-2003-us-359 on RM3 yielded the largest number of plants and was selected as the best for transformation. Six RAPD DNA primers were used to check genetic stability; this medium did not affect the sugarcane genomes.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".