Gibberellins target shoot-root growth, morpho-physiological and molecular pathways to induce cadmium tolerance in mung bean
Bibliographic record
Abstract
Abstract Cadmium (Cd) inhibits plant growth, perturb nutrient uptake and affect chloroplast ultra structure. Cd soil pollution is mainly contributed by excessive use of phosphate fertilizers, nickel Cd batteries, plating and sewage sludge. Research investigations deciphering role of Cd in affecting overall performance of mung bean is least understood. Likewise ameliorative effects of gibberellins (GAs) in Cd induced toxicity in mung bean are lesser known. In this context, effects of Cd stress (CdCl2, IC 50 −500 µM L −1 ) with or without GA3 application on mung bean ( Vigna radiata L. Var. SML-668) plants were comprehensively investigated under controlled conditions. In brief, a total of 80 mung bean plants (15 days old of uniform height) were divided into four groups, with each group ( n=20 ) subjected to four different treatments (Control, CdCl 2, GA3, CdCl 2 +GA3), twice during the entire life cycle of mung bean plants (until harvest 85-90 days). Results revealed negative impacts of Cd stress on shoot morphometry (plant height, leaf surface area, stem diameter, shoot fresh weight, number of leaves, number of pods, length and diameter of pods), root morphometry (root length, root surface area, root dry weight, nodule number and nodule diameter), photosynthetic pigments and agronomic traits. GA3 ameliorated Cd stress by modulating shoot and root growth rates, improving overall plant metabolism, photosynthetic pigments, and shoot and root morphometry and transcript abundance of VgPCS1 , VgPCS2 , VgCdR and VgIRT1 . Current study proposes GA3 application for the effective management of Cd induced phytotoxicity in mung bean plants.
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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) | 0.001 | 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".