Germination, growth, photosynthesis and ionic balance in<i>Setaria viridis</i>seedlings subjected to saline and alkaline stress
Bibliographic record
Abstract
Guo, R., Zhou, J., Hao, W., Gong, D., Zhong, X., Gu, F., Liu, Q., Xia, X., Tian, J. and Li, H. 2011. Germination, growth, photosynthesis and ionic balance in Setaria viridis seedlings subjected to saline and alkaline stress. Can. J. Plant Sci. 91: 1077–1088. Setaria viridis seeds and seedlings were subjected to saline and alkaline stress to determine their effects on germination and growth indices, and physiological parameters. The treatments consisted of solutions of NaCl:Na2SO4for saline stress and NaHCO3:Na2CO3for alkaline stress, at different concentrations. Germination, growth, photosynthesis, chlorophyll fluorescence and ionic balance were determined to elucidate the difference in the mechanism of saline and alkaline stress damage to S. viridis seedlings, and their physiological adaptive mechanism to stress. Germination indices decreased and, germ and root growth were severely inhibited with increased concentrations, especially under alkaline stress. We also found that alkaline stress had a more severe effect on S. viridis seedlings than saline stress, which was demonstrated by greater reduction in relative growth rate, water content and root system activity. Similarly, the reduction in photosynthesis and chlorophyll fluorescence was greater under alkaline than saline stress. Alkaline stress also appeared to exacerbate the ionic imbalance generated by saline stress; alkaline stress caused a heavy precipitate of phosphate and metal ions, excluding Na+and K+, and the loss of NO3−and H2PO4−, which caused a sharp decrease in ionic activity and free concentrations of various ions. Our results suggest that damage caused by alkaline stress might come from greater influx of Na+than caused by saline stress. Setaria viridis responds by synthesizing greater amounts of organic acids than are required to counter salinity to address the intracellular ion imbalance; this process is at the cost of the plant's already diminished energy resource.
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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) | 0.001 | 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 | 0.001 | 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".