Growth, Gas Exchange, Chlorophyll Fluorescence, and Ion Content of Naked Oat in Response to Salinity
Bibliographic record
Abstract
ABSTRACT Understanding of the physiological responses of crop plants to salinity stress is of paramount importance for selection of genotypes with improved tolerance to salt stress. Two naked oat ( Avena sativa L.) genotypes, ‘VAO‐7’ and ‘VAO‐24‘, were subjected to different salt concentrations (0, 50, 100, 150, 200, and 250 m M NaCl) to determine the effects of salt levels and stress duration on seedling growth, ion content, and photosynthetic productivity. Relative growth rate (RGR) and leaf chlorophyll were determined at weekly intervals after salinity was imposed. Total leaf area, plant dry weight, photosynthetic parameters, and plant tissue ion concentrations were determined at 25 d after salinity application. Under salt stress conditions, germination rates varied greatly among the genotypes. The differences between VAO‐7 and VAO‐24 for most parameters measured were significant after 2 wk of stress introduction at 200 and 250 m M NaCl. Salt stress at the lowest level (50 m M ) reduced total leaf area by 35% and plant dry matter by 52%. At 25 d after salt stress, plants treated with the 250 m M NaCl accumulated 36‐fold more Na + , 79% more Ca 2+ , and 2.4‐fold less K + than the control. Salt treatment resulted in the reduction of almost all the growth parameters and coincident increases in plant Na + and Ca 2+ concentrations. Our results indicate that there is great variability for salt tolerance among naked oat germplasms, and greater photosynthesis capacity, higher RGR, and relatively lower tissue Na + accumulation at high salt concentrations appeared to be associated with salt tolerance in naked oats.
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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 | 0.000 |
| 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".