Responses of Unsaturated Fatty Acid in Membrane Lipid and Antioxidant Enzymes to Chilling Stress in Sweet Sorghum (Sorghum bicolor (L.) Moench) Seedling
Bibliographic record
Abstract
Low temperature is a major factor limiting the productivity and geographical distribution of many plant species. In this study, we investigated the effect of chilling stress (10 oC) on seedling growth in two sweet sorghum (Sorghum bicolor (L.) Moench) inbred lines (M-81E and Roma). Results showed that the chilling resistance of M-81E was higher than that of Roma. The Fv/Fm in leaves of M-81E decreased less than that of Roma during chilling stress. After 24 h of chilling stress, the Fv/Fm of M-81E and Roma decreased by 24.3 and 45.8%, respectively. Fo was also affected significantly during chilling stress. Malondialdehyde (MDA), an indicator of lipid peroxidation caused by ROS, increased during chilling stress. The contents of MDA increased less in leaves of M-81E than that in Roma under chilling stress. The antioxidant enzymes (SOD and APX) activity of M-81E was higher than those of Roma during chilling stress. The unsaturated fatty acid content and the double bond index (DBI) of major membrane lipids of MGDG, DGDG, SQDG, PC, PE and PG of M-81E significantly increased after 24 h of chilling treatment (10 oC). The DBI of MGDG, DGDG, SQDG, PC and PG of Roma significantly decreased. These results showed that the chilling tolerance of M-81E was higher than that of Roma by increasing of unsaturated fatty acid in membrane lipid and powerful protective enzyme system at seedling stage.
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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 | 0.001 |
| 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".