Reaction of common and durum wheat cultivars to infection of kernels by<i>Pyrenophora tritici-repentis</i>
Bibliographic record
Abstract
Kernel discoloration caused by Pyrenophora tritici-repentis (Died.) Drechs. is an important downgrading factor in wheat. Twenty-nine durum and common wheat cultivars belonging to four different quality classes were compared for their reaction to inoculation of kernels with P. tritici-repentis under controlled conditions. All cultivars were susceptible to this pathogen but they differed in the predominant type and (or) intensity of kernel discoloration and in incidence and severity of infection. The most common symptom associated with infection by this pathogen is red smudge, a pink to bright red discoloration. This developed in all Canada Western Amber Durum cultivars but was less apparent in the Canada Western Red Spring cultivars. Other common symptoms observed in all cultivars were black point, dark smudge, and specks. Some differences in the incidence and severity of the discoloration among cultivars appeared to be related to seed colour. The white-seeded cultivars, regardless of quality class, were in general more susceptible than the red-seeded cultivars. However, there were also differences in the predominant type of symptom and in the incidence and severity of infection among and within classes that were not related to seed colour. It was concluded that the type of symptom, and its incidence and severity, are mostly genotype-dependent and only partially conditioned by seed colour or wheat quality class or species.
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) | 0.000 | 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) | 0.001 | 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".