Comparison of three wheat near isogenic lines originated from CB037 on tissue culture and transformation capacities
Bibliographic record
Abstract
Abstract Wheat is an important worldwide food crop. To meet the increasing demand for wheat grains, it is essential to continuously improve wheat by commercial and advanced technologies. Wheat line CB037 has ideal agronomic traits, good bread quality, strong resistance to powdery mildew (PM), and high regeneration ability, and therefore it has been widely used in hybridization breeding and genetic transformation. Three near isogenic lines (NILs) from CB037 were identified in a previous study based on glutenin composition. In this study, the three NILs of CB037A, CB037B, and CB037C were investigated comparatively for agronomic traits, disease resistance for PM and stripe rust, and tissue culture and transformation abilities. Results indicated that the three NILs were high resistant to PM, and CB037B was not only high resistant to stripe rust but also had significantly higher regeneration ability than CB037A and CB037C in anther culture, immature and mature embryo culture. Particularly, positive transgenic wheat plants were obtained only from CB037B. Thereby CB037B was identified to be a desirable material for wheat genetic transformation, which was of great significance for improving the transformation efficiency and accelerating the application of genetic engineering breeding technology in wheat.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".