Acclimatization of <i>Terminalia Arjuna</i> saplings to salt stress: characterization of growth, biomass and photosynthetic parameters
Bibliographic record
Abstract
Terminalia Arjuna is an ecologically important agroforestry tree species across Central Asia where imbalance between water inputs and plant uptake is resulting in secondary salinization. Therefore, this study was conducted to evidence its survival capability under control, medium and high salt stress condition (2, 8, 16 dS m−1, respectively). Two independent experiments were conducted and various parameters such as (i) germination percentage (ii) growth and biomass production and, (iii) leaf gas exchange parameters were measured. The results showed that irrespective of salt stress treatment, germination percentage decreased significantly with increase in salt stress. However, growth parameters and biomass production in leaves, stem and roots were not impacted under medium salt stress but decreased significantly under high salt stress. Stomatal conductance decreased significantly under both salt stress treatments whereas CO2 assimilation rate and water use efficiency was not impacted by medium salt stress. Finally, an increase in biomass production was positively correlated to both increase in CO2 assimilation rate and stomatal conductance. The results showed that although germination in Terminalia arjuna was highly sensitive to salt stress, young plants can tolerate medium salt stress due to their ability to sustain CO2 assimilation rate and increased water use efficiency.
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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".