Performance of Pongamia pinnata ROXB. under Waterlogging, Salinity and their Combination in Nursery Environment
Bibliographic record
Abstract
The world is facing severe and unpredictable challenges due to increasing abiotic stresses as a consequence of the earth's changing climatic conditions. The increasing waterlogging and salinity stress problems are the example of such disturbances caused in nature. In the present study, the effect of waterlogging, salinity and combined waterlogging & salinity stress on morphological, physiological and biochemical parameters along with protein profile of Pongamia pinnata at seedling stage under nursery conditions have been discussed. Pot culture experiments were conducted in factorial RBD design to observe the effect of waterlogging (W), salinity (S) and combined salinity & waterlogging (SW) stress on the selected seedling under nursery conditions for one year. Waterlogging stress condition was created by perforating the polybag at specific height with standard size and watered daily. Salinity was maintained at 8 dS/m salt concentration. The amount of water equal to the calculated field capacity was provided to each polybag. Total biomass and leaf area were measured in morphological parameters. Physiological parameters viz. photosynthetic rate and stomatal conductance of the seedlings were measured. Total chlorophyll, proline and protein content were estimated for biochemical analysis. Protein profiling of seedlings was performed by SDS-PAGE method. The outcome of the experiment showed that salinity treatment had major negative impact on biomass which can also observe in leaf area. Under waterlogging treatment, the seedling showed very appreciative avoidance and adapted behavior. The seedlings under salt + waterlogging managed to tolerate the combined stress condition which was opposite to deleterious impact of combined abiotic stresses. Two new bands observed under 8 dS/m S + W shows the involvement of protein in the tolerance behavior of seedlings. The plantations of suitable tree species in such areas will be helpful in sustainable forest management and resilient the forest ecosystem to climate change.
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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".