Ocimum basilicum L. Seeds Quality as Submitted to Saline Stress and Salicylic Acid
Bibliographic record
Abstract
The quality of the seeds is of great importance for the cultivation of plants, however, the quality can be altered by the abiotic effects, amongst such, saline stress. Salinity is one of the great obstacles faced by modern agriculture, however, alternatives have been researched to mitigate its effects, where it is possible to mention the use of salicylic acid. The objective of this study was to evaluate the quality of basil (Ocimum basilicum L.) seeds cultivated using applications of salicylic acid to attenuate the irrigation water salinity. The experimental design was a completely randomized complete block design in incomplete factor scheme, with five conductivities for irrigation water (0.5, 1.3, 3.25, 5.2, 6.0 dS m-1) and five salicylic acid doses (0.0, 0.29, 1.0, 1.71 and 2.0 mM), with five and four replicates, respectively. The electrical conductivity presented an effect on germination, while the salicylic acid presented an effect on the germination speed index, emergence speed index, shoot length, root and seedling length, and seedlings dry mass. The highest correlations were obtained amongst the germination variables. Therefore, it is possible to affirm that salicylic acid can be used up to the dose of 1.0 mM with no further damage to basil seeds’ quality.
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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".