<i>Agrobacterium</i>-mediated Transformation of Cotton Shoot Apex with <i>SNC1</i> Gene and Resistance to Cotton Fusarium Wilt in T<sub>1</sub> Generation
Bibliographic record
Abstract
Using shoot apexes from the upland cotton varieties, named Zhong 35 and Junmian No.1 as explant, the SNC1 , suppressor of npr1-1constitutive cloned from Arabidopsis thaliana , was introduced into cotton genome by Agrobacterium -mediated transformation with the optimized transformation conditions including culture stage of the explant, infection time and co-culture time. The results showed that the transformation procedure for high transformation rate was as follows, in vitro cuture the explants one day, infecting 20 min and co-culturing two days. PCR and RT-PCR identification of T 0 and T 1 regeneration plants revealed that the SNC1 gene was successfully integrated into cotton genome and expressed in the transgenic plant. Furthermore, comparing with non-transgenic plants, the T 1 generation transgenic plants acquired the significant resistance to the inoculation of with the Fusarium oxysporum f.sp. Vasinfectum by the validation of the root-dipping method, which suggested that the SNC1 should facilitate the resistant to cotton Fusarium wilt.
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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 | 0.000 | 0.000 |
| 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".