Genetic improvement of FHB and DON resistance by combining the <i>Fhb1</i> gene with additional resistance QTL in winter wheat population
Bibliographic record
Abstract
Fusarium head blight (FHB) of wheat (Triticum aestivum L.), caused by Fusarium graminearum, is a major wheat disease that causes significant yield and quality loss. The use of resistant cultivars is an effective tool for managing FHB; however, FHB resistance is a complex trait. The objectives of this study were to identify quantitative trait locus (QTL) associated with FHB resistance in the Triumph/25R51 doubled haploid (DH) population. The DH population was evaluated for FHB resistance across six field environments and an additional greenhouse study. The population was genotyped using single nucleotide polymorphism (SNP) markers, and a linkage map was constructed with a total length of 3018 cM across 26 linkage groups. QTL analysis identified multiple FHB resistance loci, including on chromosomes 2B, 2D, 3B, 5A, and 7D. The QTL on chromosome 3BS was the most important QTL for all FHB-related traits and explained 27%, 25%, 14%, and 13% of phenotypic variation for FHB severity, FHB index, Fusarium-damaged kernels (FDK) level, and deoxynivalenol (DON) content, respectively. Marker validation and haplotype analysis confirmed this QTL was due to Fhb1, with the resistance allele from 25R51 parent. FHB resistance QTL on 2D was collocated with both plant height and days to anthesis QTL at the Ppd-D1 locus. The population segregated for Rht-B1 locus, coincided with plant height QTL on 4B, but was not linked with FHB traits. This study showed that combining Fhb1 with additional resistance alleles enhances resistance to FHB, and the significant QTLs identified will be further useful for introgression in winter wheat breeding.
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 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 | 0.000 | 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 | 0.000 |
| 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".