EFFECTS OF SODIUM CHLORIDE STRESS ON GROWTH, DEVELOPMENT CHARACTERS AND YIELD OF NIGELLA SATIVA DURING VEGETATIVE, FLOWERING, AND FRUITING STAGES
Bibliographic record
Abstract
Globally, black cumin (Nigella sativa L.) plays a crucial role in human health by being a traditional medicine for treating diseases, and an ingredient for herbal drug formulations and several culinary applications.To maximize its usage, it is important to understand how its growth is affected by stresses.Therefore, an experiment was conducted to determine the effect of saline water irrigation on survival, growth, and yield characteristics of Nigella sativa.The plants were treated with four (control=0, 1000, 2000, and 3000 ppm) concentrations of Sodium chloride (NaCl) and its important characteristics (survival, plant height, number of branches/plant, fresh and dry stem weights, fresh and dry leaf weights, total fresh and dry weights, number of umbels/plant, fresh and dry umbels weights, number of capsules/plants, dry capsule weight, dry straw weight, seed weight) were measured during the three growth stages (vegetative, flowering, and fruiting).The results revealed that survival of the plant, its growth, and its productivity significantly decreases with increasing concentration of NaCl at the vegetative and flowering stages.This also caused substantial reduction in the seed yield and yield components at the fruiting 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".