Genetic Control and Heritability of Fusarium Head Blight (FHB) Resistance in Spring Bread Wheat
Bibliographic record
Abstract
Fusarium head blight (FHB) caused by Fusarium graminerum is one of the most important wheat diseases in Iran and worldwide. In this research, we assessed genetic control and the disease resistance heritability using generation mean and generation variance analyses. Five generations of F 1 , F 2 , F 3 , BC 1.1 and BC 1.2 developed from crossing an inbred line (resistant parent) and Falat (susceptible parent) along with two parents were infected by the fungus spores at spike emergence stage at field condition and after adequate incidence of disease, FHB resistance-related traits including percentage of infected florets, percentage of infected kernels (FDK) and disease incidence (DIC) were evaluated. Generation variance analysis showed that narrow-sense heritability of FDK was high (~64%), while that of DIC was very low, indicating the discrete genetic factors of these indices. Mean comparison indicated that means of F 1 , F 2 , BC 1.1 , BC 1.2 and F 3 located between that of two parents and were closer to resistant parent. Joint-scaling test suggested that FHB resistance wasn`t fitted to additive-dominance model. But in contrast, six-parameter model (mean [m], additive [a], dominance [d], additive × additive [aa], additive × dominance [ad], dominance × dominance [dd]) for all FHB resistance indices was best fitted. Therefore, it could be concluded that in the examined cross in addition to additive and dominance effects, epistatic effects also were involved in controlling wheat FHB resistance.
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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 | 0.000 |
| 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) | 0.000 | 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 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".