Identification and genetic characterisation of adult plant resistance to crown rust in diploid and tetraploid accessions of Avena
Bibliographic record
Abstract
The identification and genetic characterisation of adult plant resistance (APR) to crown rust, caused by Puccinia coronata f. sp. avenae (Pca), was carried out in diploid Avena strigosa and tetraploid Avena barbata accessions from diverse geographical regions. Seven accessions were found to carry APR to Pca, six of which (CIav6956, CIav7280, CIav8089, CIav9020, PI292226, PI436082) were diploid and one (PI337865) a tetraploid. All six diploid A. strigosa accessions were postulated to carry the ‘Saia’ seedling resistance to Pca (Pc15, Pc16, Pc17) in addition to the APR. Three of these six accessions (CIav6956, CIav9020, PI292226) were used to study both seedling resistance and APR, using two Pca pathotypes, one avirulent on seedlings and the second virulent on seedlings but avirulent on adult plants. The seedling resistance in each was shown to be inherited independently of the APR. In each case, APR was conferred by a single major dominant gene, based on hypersensitivity, coupled with low infection types. Allelism tests are required to determine if these three APR genes are different. This is the first report of APR to crown rust in A. strigosa and A. barbata.
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 | 0.001 | 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".