Early Screening of Some Kurdistan Wheat (Triticum aestivum L.) Cultivars under Drought Stress
Bibliographic record
Abstract
Due to the rapid climatic change drought becomes abiotic constraint globally. A factorial laboratory experiment was designed with CRD to evaluate the effects of kernel priming on wheat cultivars under induced drought stress. Seven common wheat cultivars in Kurdistan (Adana, Maxipak, Sham4, Sham6, Aras, Azadi and Rizgari) were tested under different negative osmotic solutions (0, -0.5, -1 and -1.5 Mpa), using Polyethylene glycol (PEG-6000). Among different cultivars Azadi exhibited better survival at high levels of drought stress for germination and its related traits. It also revealed high performance for shoot growth under the water stress, which was affirmed by the principal component analysis and cluster analysis. The superiority of this cultivar might be refer to exposing of this genotype to natural selection for a long duration under semiarid conditions of the local environment. Rizgari also had better performance mostly for the seedling characteristics, being a suitable cultivar for the late induced drought. The other cultivars had an intermediate response to the induced drought stress. This method could assist the plant breeder for rapid detection of drought tolerant genotypes in a large population with the reduced cost and labor compared to field trials.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".