Establishment of a highly efficient regeneration method from the scraped broken embryo of mature barley seed
Bibliographic record
Abstract
Hua, W., Zhu, J., Shang, Y., Wang, J., Jia, Q., Lin, F. and Yang, J. 2013. Establishment of a highly efficient regeneration method from the scraped broken embryo of mature barley seed. Can. J. Plant Sci. 93: 1029–1035. An efficient and reproducible plant regeneration system for mature barley would represent a significant innovation for barley tissue culture and genetic transformations to optimize barley crop traits. To address this need, we used scraped broken embryos (SBEs) from dried barley seeds to establish a highly efficient regeneration system. Mature SBEs cultured in an induction medium with 2 mg L−12,4-D offered the best callus formation (92.99% induction efficiency) and no germination. Furthermore, calli arising from SBEs had the highest regeneration frequency (69.72%) in FHG medium with 1 mg L−16-benzylaminopurine. We then compared three different cultivars: Golden Promise, Zaoshu3, and Zhepi8 for callogenesis and regeneration using an established protocol. Zhepi8 had the greatest callus induction (92.78%) and regeneration (68.24%). Our innovative methods for mature barley plant reproduction will contribute to improvements in genetic barley transformation as an alternate regeneration system.
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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 | 0.000 |
| 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".