Introgression of <i>Leptosphaeria maculans</i> Resistance From Hexaploid <i>Brassica</i> Into <scp> <i>Brassica napus</i> </scp>
Bibliographic record
Abstract
ABSTRACT Blackleg disease caused by Leptosphaeria maculans is one of the most devastating diseases of Brassica crops. It causes significant yield loss in canola (oilseed rape) where it is grown in countries/regions like Canada, Australia, and Europe. Genetic resistance is one of the most effective disease management strategies. Blackleg resistance against L . maculans isolate PG4‐1‐M ( AvrLm2 , AvrLm5‐9 , AvrLm6 , AvrLm10 and AvrLm11 ) was introgressed by interspecific hybridisation between the susceptible Brassica napus ‘Westar’ and a resistant hexaploid Brassica hybrid. Resistant backcross progeny (BC 5 F 2 ) (BNHB16) exhibited a hypersensitive response against L . maculans . Resistant backcross progeny did not follow a 3:1 segregation ratio after selfing, or a 1:1 ratio following backcrossing. Different phenotyping and genotyping platforms were explored to determine the presence of novel resistance gene(s) at the BC 5 F 2 and BC 5 F 3 generations. Backcross progeny were screened for Rlm3 , Rlm5 and Rlm6 genes for blackleg resistance with different sets of L . maculans isolates. For genotyping, microsatellite (SSR) markers linked to Rlm6 and rjlm2 were used. In addition, Kompetitive Allele‐Specific PCR (KASP) markers were used to screen for the presence of Rlm2 , Rlm3 , Rlm4 , Rlm7 , Rlm9 and LepR3 . The absence of all these genes following phenotyping and genotyping suggests that this material is likely to contain novel resistance against L . maculans among the backcross progeny. This newly developed germplasm may help to develop blackleg‐resistant canola and rapeseed breeding programmes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".