Regulation of Growth and Physiological traits of Cucumber (Cucumis sativus L.) through various levels of 28-Homobrassinolide under salt stress conditions
Bibliographic record
Abstract
Brassinoids are plant steroidal hormones that are ubiquitous in the plant kingdom and regulate a wide range of physiological and stress responses. In a plastic tunnel pot bioassay experiment, three levels of 28-homobrassinolide (HBL) at 1, 3, and 5 μmol L−1 were tested for growth and physiological attributes of cucumber cultivars ‘Jinyou 1’ (salt-sensitive) and ‘Changchun Mici’ (salt-tolerant), grown at various salt stress conditions (60 and 120 mmol L−1). Cucumber plants of both cultivars subjected to salt stress exhibited reduced growth attributes and altered antioxidant enzymes at 60 and 120 mmol L−1. However, the deleterious effects of salt stress were partially improved by HBL. The foliar application of HBL enhanced shoot and root fresh and dry weight and chlorophyll content at 60 and 120 mmol L−1 NaCl stress in ‘Jinyou 1’ and ‘Changchun Mici’, respectively. Homobrassinolide application also altered the antioxidant enzyme levels by increasing super oxide dismutase and peroxidase levels and decreased malondialdehyde content under 60 and 120 mmol L−1 stress in both plant cultivars. Overall results showed that HBL could enhance growth attributes, chlorophyll content, and antioxidant enzymes for both of the cultivars under mild and high NaCl stress.
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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) | 0.000 | 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".