Bibliographic record
Abstract
Back-cross breeding combined with rapid generation-adding and target gene PCR molecular tracking detection was taken to transfer TaEBP genes to 7 wheat cultivars which are now widely used in Huang-huai wheat producing area.The transgenic BC3F1 strain groups were obtained within one year.PCR analysis showed that the average positive rate of TaEBP gene in F1 hybrid was more than 72.3%,in the different backcross generation of 6 recurrent parents,the segregation ratio of genetic distribution of PCR-positive individual plants and PCR-negative individual plants was about 1∶1,the ratio was 3∶1 in BC3F2 generation of Xingmai 6.The results showed that the distribution of exogenous TaEBP gene with a dominant allele amplification results of genetic ratio.Under PEG-6000 stress,the 3 interogression lines from Xingmai 6 BC3F2 generations of backcross introgression lines seedling resistance identification showed,the 3 transgenic introgression lines drought resistance increased obviously.The results confirmed that to transfer TaEBP gene into other wheat cultivars by backcrossing,rapid generation-adding and target gene PCR molecular tracking detection is a simple and effective approach to getting a new transgenic wheat and directional improving resistance of wheat varieties.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".