Effect of Salt Stress on Oat Seed Germination and Seeding Membrane Permeability
Bibliographic record
Abstract
Analyzing t he eff ect s of t he salt o n oat seed ger mi natio n , seedli ng growt h and seedli ng leaves membrane per meabilit y can p ro vide t heo retical ref erence fo r salt resi st ance breedi ng and salt2tolerant p hys2 iolo gical research of oat . The eff ect s of different co ncent ratio n of NaCl and Na2 SO4 do uble salt sol utio n st ress o n t he seed ger mi natio n and seedli ng abilit y of salt tolerance of seven oat varieties were st udied usi ng t he st andar d block met ho d. Acco r di ng to analysi s of salt tolerance i ndexes , it was o bt ai ned t hat salt i nhi bi2 t ed seed ger mi natio n and seedli ng growt h alo ng wit h t he i ncrease of salt co ncent ratio n , t he relative ger mi2 natio n rat e , ger mi natio n i ndex and relative si mple activit y i ndex , seedli ng root lengt h and plant height re2 duced gradually , membrane per meabilit y of leaves i ncreased. Relative ger mi natio n rat e , ger mi natio n i ndex and relative si mple activit y i ndex were t he mai n i ndexes of salt tolerance. Amo ng t he 7 oat varieties , Baiy2 an 2 and Suweiai 339 were mo st tolerant to salt , Avena magna and Nei no ngdayo u 1 had mo derat e tolerance to salt . Canada 2 , Si bsiae and Yuan 294 were no n2tolerant .
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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) | 0.001 | 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 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".