Evaluation of winter rye genotypes for Fusarium head blight, leaf rust, and ergot resistance in multi-environment replicated trials
Bibliographic record
Abstract
Fusarium head blight (FHB) and leaf rust are common diseases affecting cereal crops, but there is limited information available about FHB and leaf rust in rye from a Canadian perspective. In multiple field seasons, winter rye cultivars were assessed through artificial inoculation in FHB and rust nurseries. Sixty-one winter rye genotypes were tested, including both open-pollinated and hybrid cultivars. To assess FHB resistance of winter rye genotypes, field disease symptoms, Fusarium-damaged kernels (FDK), and deoxynivalenol (DON) produced by Fusarium graminearum were measured. Leaf rust was evaluated on the penultimate leaf of ten randomly selected plants per plot, focusing on disease severity (LDS) and infection types (LIT). Rye exhibited significantly lower FHB severity and disease index than winter wheat checks. The results indicated there is resistance to the spread of FHB disease within infected rye spikes, with rye showing much lower FDK and DON than the wheat checks. Most of the open-pollinated rye genotypes were found to be moderately susceptible or susceptible to leaf rust, with only a few demonstrating lower leaf rust disease severity than others. In contrast, most hybrids showed moderate or intermediate resistance to leaf rust, accompanied by low disease severity. Natural ergot infection was assessed by measuring the percentage of sclerotia in harvested seeds by weight. The hybrids registered in Canada generally exhibited much lower ergot severity than open-pollinated genotypes. These results provide valuable information for rye growers and breeders in western Canada.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".