Evaluation of NaCl Tolerance in the Physical Reduction of Jatropha Curcus L. Seedlings
Bibliographic record
Abstract
Jatropha curcas L. is an important bio-fuel crop however, it’s tolerance to salinity especially with reference to changes in physical characteristics has been hardly studied. This work aimed to evaluate Jatropha. curcas L. tolerance to salinity stress using physical growth patterns, leaf shedding and mineral nutrient deposition. Jatropha curcas L. seedlings were grown under four different levels of NaCl concentration: 0 (control), 25, 50 and 100 mM under greenhouse conditions. Harvesting was done when average transpiration of each treatment was less than 50% and 75% as compared to the control. Results showed a significant variation in transpiration rate among the salinity treatments and control. A gradual reduction in the biomass yield of seedlings with increasing concentration of NaCl was observed. Reference to the result of IC50, the seedlings were tolerant to NaCl irrigation up to 54 mM. Additionally, seedling stems and roots accumulated large amounts of Na and K; a large amount of K particularly accumulated in the stem part, and was likely responsible for the low Na/K ratio observed in the stem. Defoliation however occurred with even irrigation of as low NaCl concentration as 25 mM. Thus, we report that Jatropha curcas L. is highly sensitive to Na accumulation, especially in the root-zone.
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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) | 0.001 | 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".