Effects of Nitrogen on Seedling Growth of Wheat Varieties under Salt Stress
Bibliographic record
Abstract
Wheat growth is hampered by various environmental stresses including salinity. The aim of the present study was to evaluate the nitrogen effect on seedling emergence and growth under salinity conditions. For this reason the seeds of wheat (Triticum aestivum L.) varieties Argine, and Elnilein from Sudan and Xumai 30, and Yang 10-13 from China were cultured under four NaCl solutions containing (0, 100, 150, and 200 mM NaCl) and three nitrogen (N) fertilizer levels (N0 = 0, N1 = 105, and N2 12 = 210 kg N/h). Emergence percentage and early growth were determined. There were significant differences among salinity and N levels for emergence percentage shoot and root length, dry weight, salt tolerance index, and seedling vigor index. At all salinity levels, the varieties showed similar salt resistance, but each responded differently. Nitrogen affected positively on the seedling characteristics under saline soil. Elnilein had a better emergence percentage, shoot and root length, dry weight, salt tolerance index, and seedling vigor index than the other varieties. Elnilein is recommended for saline soils. We suggest that a simple seedling test would be a useful selection tool in order to develop productive new wheat lines on saline soils.
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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".