Structural evolution is the key to paternal identification in salt-resistant soybean breeding
Bibliographic record
Abstract
Abstract Soybean breeding shows that soybean resources are increasingly narrow due to the depletion of ancestral varieties. We collected salt-tolerant wild soybean samples and seeds from 23 areas affected by heavy salt stress. SEM was used for structural evolution, Plant Print identification, salt and alkali resistance physiology, salt resistance gene and tissue culture experiments. We report here the discovery of Chinese wild soybean salt gland is first reported in the world. The salt tolerance of new soybean varieties is greatly improved by breeding wild soybean with salt gland as the male parent. A batch of new soybean varieties resistant to salt were obtained. The experiment revealed that the diversity of salt tolerance function of wild soybean was closely related to stress tolerance physiology, stress tolerance gene and phylogenetic structure evolution. Our results encourage the use of salt-resistant wild soybeans as paternal breeding to avoid undesirable breeding cycles at the expense of soybean ancestral 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) | 0.000 | 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 | 0.001 |
| 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".