Optimizing tissue culture media for efficient transformation of different indica rice genotypes
Bibliographic record
Abstract
An efficient system was established for high frequency embryogenesis and regeneration of indica rice, Oryza sativa L. cv. MDU 5. Basic media, carbohydrate sources and concentrations, agar concentrations, amino acids, cytokinins and auxins were evaluated in callus induction and regeneration media to establish the most efficient regeneration protocol for MDU 5 indica rice. The optimized callus induction and regeneration media consisted of the basic MS salt mixtures and vitamin solutions supplemented with 4% maltose, 1g/L casein hydrolysate and 50 mg/L tryptophan, solidified with 1% agar. The callus induction medium was supplemented with 2,4−D 2 mg/L, kinetin 0.5 mg/L, indole acetic acid 1 mg/L, and 6−benzyl aminopurine 0.5 mg/L whereas the media for regeneration phase comprised kinetin 2 mg/L, indole acetic acid 1 mg/L and 6−benzyl aminopurine 2 mg/L. The media optimized for MDU 5 was analyzed for response of 73 other indica genotypes. Of these indica varieties 64 genotypes yielded 98.5% callus induction within eight days, 59% embryogenic calli formation, initiation of multiple green buds within eight days and a regeneration rate of 90%. The embryogenic calli derived were used for transformation with Agrobacterium tumifaciens (LBA 4404 or EHA 101 strains). Two binary vectors (pKHG4 and pIG121Hm) containing hph and GUS genes were used in these transformation studies. Fifty-one genotypes responded to the optimized media by producing hygromycin−resistant calli. The -histochemical test for s−glucuronidase activity was positive from 32 genotypes with the transformation efficiencies ranging between 7.0% and 8.3%.
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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 | 0.001 | 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 | 0.000 | 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 | 0.002 |
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".