Exogenous Glutathione Improves Salinity Stress Tolerance in Rice (<i>Oryza sativa</i> L.)
Bibliographic record
Abstract
The effect of salt stress and the beneficial roles of exogenous glutathione (GSH) in modulating salt stress tolerance in rice ( Oryza sativa L.) were investigated by conducting an experiment in the net house of the Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh. The experiment used 11 diverse rice genotypes and used a Randomized Complete Block Design with four replicates and three treatments , a control, salt (200 mM NaCl) and salt + 2mM GSH. Analysis of variance for yield and yield contributing traits showed significant ( p < 0.01) variation among the genotypes. Significant G (genotype) × T (treatment) interaction was found for the following traits, days to maturity, plant height, number of unfilled grains per panicle and spikelet fertility. Exposure to salt stress at reproductive stage resulted in significant decreases in yield and yield attributing traits, as compared to the control, with greater reductions observed in salt sensitive and salt non-tolerant genotypes. Exogenous GSH application to salt stressed plants resulted in increased yield and yield attributing traits, and the number of unfilled grains per panicle was reduced in most genotypes, compared to plants subjected to salt stress without GSH. The positive influence of exogenous GSH application was most pronounced for salt-stressed plants of salt sensitive and non-tolerant genotypes as compared to the tolerant genotypes or advanced breeding lines. The present study showed that the application of GSH can improve salt stress tolerance of salt sensitive rice plants and positively influence yield contributing traits.
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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) | 0.001 | 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 | 0.000 | 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".