Influence of Salinity and Temperature on Germination of Trifolium repens
Bibliographic record
Abstract
In this study, germination character and growth of Trifolium repens were studied by using a completely randomized design with four replications at two levels of temperature regime (25°C and 35°C) and at five levels of salinity (distilled water, 3, 6 and 12 ds/m). The results of variance analysis showed that the different levels of salinity and temperature were highly significance on germination percentage, germination speed, length of root and length of shoot (p<0.01). Germination percentage showed that rate of germination decreased with an increase in salinity. Maximum germination speed, root length, and shoot length was related to 25°C temperature and control treatment and minimum of these character was belong to 5°C and 12ds/m salinity. In both of two levels of temperature treatment (25 and 35°C) differences between shoot length and root length was less by increasing in salinity levels.
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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".