Germination and Seedling Characters of Different Wheat Cultivars under Salinity Stress
Bibliographic record
Abstract
The impact of salt stress under different salinity level (2, 4, 6, 8, 10, 12 and 14 dS/m-1 NaCl) on eleven varieties of bread wheat (Triticum aestivum L.) viz., Sakha 93, Gemmeza 7, Egaseed 7, Sakha 94, Gemmeza 10, Egaseed 3, Masr 2, Masr 1, Gemmeza 9, Sids 1 and Giza 168 was conducted. A laboratory experiment was conducted at Giza Central Seed Testing laboratory of Central Administration for Seed Testing and Certification, Ministry of Agriculture, Egypt. Wheat cultivars significantly varied in means of final germination percentage, germination rate, germination index, vigor index, shoot length, root length, shoot fresh weight, root fresh weight, shoot dry weight, root dry weight, seedling height reduction and relative dry weight. Sakha 93 and Sakha 94 had positive effects in most of studied characters while, Masr 1 cultivar had negative effects in most of germination parameters under study. Salinity concentrations significantly varied in all germination parameters under study except shoot dry weight character. Increasing salinity concentrations from 0 to 14 dS/m-1 gradually decreased average of germination and seedling characters. All studied characters were significantly affected by the interaction between cultivars and salinity stress, vice versa, root length didn't affect by the interaction. It could be concluded that for maximizing wheat germination percentage and seedling parameters under salinity stress are recognized by using Sakha 93, Sakha 94 and Gemmeza 10 cultivars with increasing salinity concentrations levels up to 14 dS/m-1. Among the cultivars under investigation Sakha 93 and Sakha 94 cultivars appeared to be more tolerant to salinity at germination stage compared with other cultivars. These cultivars were more tolerant to salinity and recommended to use in breeding program for enhancing Wheat production in Egypt.
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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".