(Combining Ability and Gene Action Controlling Morpho-Agronomical Traits in Bread Wheat Genotypes under Non-Stressed and Drought-Stressed Conditions)
Bibliographic record
Abstract
The study assessed six parents of bread wheat and their 15 F1 crosses under normal and drought stress conditions to evaluate genotypic variation. Results showed highly significant genotypic and genotype-environment (G × E) interactions across all traits, indicating substantial variability and differential responses among genotypes. Under normal conditions, Diebera and Pectora were earliest to flower, while Canada-462 and Giza-171 were earliest under drought. Canada-462, Diebera, and Sids-12 consistently exhibited superior performance for traits like plant height, spike length, and grain yield. Their crosses, particularly P1 × P2, P1 × P3, and P2 × P6, also performed best under both conditions. Drought stress caused notable reductions in all traits, especially grain yield (up to 21.07% in parents). Drought susceptibility index (DSI) identified tolerant parents (Pectora, Sahel-1, Giza-171, and Sids-12) and crosses (e.g., P4 × P6, P5 × P6). Combining ability analysis showed that both additive (GCA) and non-additive (SCA) gene actions were significant, with non-additive effects predominating in most traits. Heritability estimates were higher in broad sense than narrow sense. Overall, the results highlight promising parents and crosses for breeding drought-tolerant wheat with enhanced yield and adaptability, emphasizing the utility of both additive and dominance gene actions in selection strategies.
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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 | 0.001 | 0.001 |
| 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".