Physiological Characteristics and Strategies to Improve Salt Tolerance in Alfalfa
Bibliographic record
Abstract
There are 6 million ha of cropland affected by soil salinity in Canada. Alfalfa is not only an important forage legume to the Canadian beef and forage industries, but also is the candidate legume for reclamation of saline areas. We investigated physiological and genetic variations of salt tolerant ‘Halo’ and salt intolerant ‘Vernal’ alfalfa cultivars in five gradients of salt stresses (Electrical conductivities of 0 dS m-1- 16 dS m-1) in a sand based hydroponic system. Elements and organic compounds in different tissues were studied at the Canadian Light Source. RNA-Seq analysis of leaf and root tissues of ‘Halo’ and ‘Vernal’ alfalfa were studied at three time points after salt treatment at 12 dS m-1. ‘Halo’ showed significantly greater germination percentage and seed vigor than ‘Vernal’ at higher salt level, but no difference was found at lower salt gradients. The leaf and stem tissue of ‘Halo’ had higher amide concentration than ‘Vernal’ at all salt gradients. This study identified 14 (leaf) and 9 (root) candidate genes consistently expressed in ‘Halo’ under salt stress, indicating potential genes for marker development. In addition, a number of new salt tolerant breeding lines were developed under this project. Future research includes testing of possible beneficial interactions between alfalfa populations and halophile bacteria that could help mitigate salt stress on the plant. Link to Video Presentation: https://youtu.be/QGpr13PKGgE
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".