Transfer of Leaf Rust and Stripe Rust Resistance Genes <i>Lr62</i> and <i>Yr42</i> from <i>Aegilops neglecta</i> Req. ex Bertol. to Common Wheat
Bibliographic record
Abstract
Continued genetic control of the cereal rusts depends on the availability of effective resistance genes. The wild relatives of wheat (Triticum aestivum L.) constitute a source of such genes. Wheat leaf rust (Puccinia triticina Eriks.) resistant Aegilops neglecta accession 155 was crossed with ‘Chinese Spring’. Resistant progeny were initially backcrossed to Chinese Spring and later to Chinese Spring‐Short (a short‐strawed near‐isogenic line) to develop an addition line. Advanced backcross progeny segregated for a resistance gene (designated Lr62) located on an addition chromosome, as well as a resistant phenotype apparently contributed by dominant complementary genes of the wheat genomes. On its own, Lr62 produced infection type (IT); however, in the presence of the two complementary genes its expression was modified to an intermediate response. The addition chromosome appeared to have homeology with group 3 chromosomes of wheat. While attempting to transfer the resistance through allosyndetic pairing induction to a group 3 wheat chromosome, a spontaneous translocation occurred. Aneuploid and microsatellite analyses showed that the translocation involved wheat chromosome 6A, suggesting that the addition chromosome may also have partial homeology to group 6. Microsatellite and meiotic pairing data suggested the presence of a large segment of foreign chromatin replacing the entire 6AS arm and a proximal part of 6AL. Lr62 was effective against a wide range of South African and western Canadian Puccinia triticina pathotypes. In addition to Lr62, the translocation line, 03M119‐71A, carried a seedling stripe rust resistance gene (designated Yr42) effective against South African pathotypes of P. striiformis The resistance genes can be of significant commercial value, however, it may be necessary to further tailor this fairly big translocation through allosyndetic pairing induction.
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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 | 0.000 | 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 | 0.001 |
| 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".