Introgression breeding - Effects and side effects of marker-based introduction of two non-adapted QTL for Fusarium head blight resistance into elite wheat
Bibliographic record
Abstract
Introgression breeding - Effects and side effects of marker-based introduction of two non-adaptedQTLfor Fusarium head blight resistance into elite wheat Fusarium head blight resistance (FHB) can be achieved by using improved adapted varieties as crossing partners or by a marker-assisted introgression of mapped QTL from non-adapted sources. In this long-term studyFhb1on chromosome 3BS andQfhs.ifa-5Alocated on chromosome 5A were introgressed into European elite spring and winter wheat to test effects on FHB resistance and side effects on agronomic performance andF. graminearumisolates and mixtures. The introgression of the QTLFhb1andQfhs.ifa-5Afrom the Sumai 3-descendant CM82036 could be performed in the shortest possible way by marker-assisted backcrossing. They were both validated in European elite wheat background. Effects on FHB resistance were, on average, only about half of the effect in the original mapping populations. In the best phenotypically and marker-selected BC0line of spring wheat FHB was reduced from 40 to 4.3% of disease symptoms by introgressing both QTL, in the best BC3line of winter wheat the reduction was 28 and 37% for the moderately resistant and highly susceptible recurrent parent, respectively. Introgression of both QTL simultaneously did not result in significantly higher FHB resistance than introgression of only one of both QTL. Small significant negative effects on grain yield were detected in the Anthus but not in the Opus BC3F2:5backcross population when both QTL were introgressed. Backcrossing with onlyQfhs.ifa-5Adid not reduce grain yield significantly. Differences in heading date, plant height and quality traits were in all cases small although often significant. Selection of lines with improved resistance level and similar high yield level like the recurrent parent was feasible. Stability of FHB resistance mediated by both QTL was stable across 22Fusariumisolates from Europe and Canada and six binary mixtures. Competition effects between isolates in mixtures were obvious but could not be attributed to the resistance of the host. In conclusion, marker-based backcrossing is a feasible option for introgressingFhb1orQfhs.ifa-5AQTL into the high-yielding, quality-oriented European wheat gene pool.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".