Effects of Salinity Stress on the Germination, Survival, and Legume-Rhizobial Symbiosis of Native Legume Dalea Purpurea
Bibliographic record
Abstract
Soil salinity poses a major challenge for oil sands reclamation in Alberta. Sodium chloride is an abiotic stressor that negatively affects plants physiologically causing a need to identify native plant species capable of surviving and improving the soil conditions of these sites. Dalea purpurea (Fabaceae) is a promising candidate for oil sands reclamation, but no research has been done to assess its salinity tolerance and the effect of salinity on its Rhizobial symbiosis. In the present laboratory study, we subjected D. purpurea seedlings to pre-germination conditions of 0, 25, and 50mM NaCl, in the presence and absence of Rhizobial symbionts. We found a significant decrease in germination success and post-germination survival as a result of salinity with salt-sensitivity varying among individuals. Surviving individuals in salinity treatments displayed growth comparable to control treatments. Salinity did not affect nodulation, but significantly reduced nodule volume by 56% at 50mM NaCl. While nodule health of the species is negatively impacted by salinity, the species may be useful in salinity reclamation due to the presence of salt-tolerant individuals. This is the first study to consider the utility of native legumes and their rhizobial symbionts for the reclamation of saline oil sands sites. Presented in absentia on April 27, 2020 at Student Research Day at MacEwan University in Edmonton, Alberta. (Conference cancelled) Faculty Mentor: Karen Christensen-Dalsgaard Department: Biological Sciences NOTE: This work is available to MacEwan users only at https://roam.macewan.ca/islandora/object/gm:2100
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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".