Leaf Rust Resistance in Selected Uruguayan Common Wheat Cultivars with Early Maturity
Bibliographic record
Abstract
ABSTRACT Leaf rust (caused by Puccinia triticina Eriks.) is an important disease of wheat ( Triticum aestivum L.) in Uruguay; therefore breeding for resistance to this disease has been a long‐term objective for the INIA wheat‐breeding program. Information on the identity of resistance genes present in the program is required to design strategies to breed for effective and more durable resistance. The leaf rust resistance genes present in seven adapted cultivars that have been extensively used in crosses were studied. Races of Puccinia triticina with different virulence combinations were used to determine which seedling resistance genes may be present in six cultivars. Genetic analysis of seedling and adult plant resistance (APR) was conducted on BC 1 F 2 and F 3 generations from four cultivars crossed with the susceptible cultivar Thatcher. The cultivar Estanzuela Tarariras was postulated to have Lr3bg and genetically determined to have Lr13 and Lr34 ; INIA Boyero was postulated to have Lr26 and genetically determined to have Lr13 and Lr34 ; Estanzuela Benteveo was postulated to have Lr3a and Lr26 and genetically determined to have Lr13 . Estanzuela Pelón 90 was postulated to have Lr1 , Lr17a , and Lr26 and genetically determined to have Lr34 ; INIA Caburé was postulated to have Lr24 ; INIA Churrinche was postulated to have Lr10 and Lr24 ; and INIA Tero was postulated to have Lr17a and Lr24 . INIA Boyero and Estanzuela Benteveo carry additional APR gene(s) that might be useful sources of resistance in addition to Lr34 .
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 | 0.001 |
| 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".