Effect of natural saline soil on organic acid accumulation in the stem and leaf of Chloris virgata and analysis of stress factors
Bibliographic record
Abstract
Chloris virgatais a native forage grass with strong salt-alkali resistance.Samples of 45 natural populations of C.virgata were randomly chosen from the saline meadows in Changling County,Jilin Province.Soil electrical conductivity,pH and buffering capacity were measured in each sample area to assess the degree of soil salinization and associated plant stress.Organic acid contents in C.virgatastems and leaves were measured as plant physiological response indexes.A regression analysis was conducted incorporating incorporating both plant and soil data.C.virgataaccumulated large amounts of organic acids including citric acid,malic acid and oxalic acid in response to strong salt-alkali stress,and there was a significantly positive correlation between the accumulation of citric acid,malic acid,oxalic acid and total organic acids and the three soil indexes.By contrast,the level of amber acid was less under saline stress and was negatively correlated with the three soil indexes.Further multiple regression analysis showed that soil electrical conductivity was more strongly correlated with the accumulation of the plant organic acids(except succinic acid)than pH and buffering capacity.In conclusion,soil electric conductivity can be used as a reliable indication of stress intensity faced by C.virgata plants exposed to salt-alkali stress in natural saline environments.
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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) | 0.000 | 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 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".