CONSTRUCTION OF MUTANT LIBRARY FOR SOYBEAN "Nannong 94-16" AND ANALYSIS OF SOME CHARACTERS
Bibliographic record
Abstract
The soybean mutant library was created by treating the seeds of soybean Nannong 94-16 with NaN_3-60Co γ-rays irradiation combination treatment and EMS,inspectively.In M_3 generations,54 mutants of leaf,stem,flower,seed and cotyledon mutants were obtained by treatment of NaN_3-60Co γ-rays irradiation,and 66 mutants by EMS,inspectively.Water-logging tolerance mutants of 14 and the light green leaf color mutant were identified by 644 SSR primer pairs.The results showed that,among 14 water-logging tolerance mutants,more than 100 primer pairs displayed polymorphism in 2 mutants and one to seven SSR primer pairs displayed polymorphism in other plants;for the light green leaf color mutant,39 primer pairs displayed polymorphism.Genetic analysis to the light green leaf color mutant showed that this character was controlled by one pair of recessive nuclear genes.The mutant library created for Nannong 94-16 will be helpful for the research in soybean functional genomics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".