Registration of Spring Wheat Sources of Leaf Rust Resistance Genes <i>Lr53</i>, <i>Lr56</i>, <i>Lr59</i>, and <i>Lr62</i>
Why this work is in the frame
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Bibliographic record
Abstract
Spring wheat ( Triticum aestivum L.) germplasm with the alien derived leaf rust (caused by Puccinia triticina Erikss.) resistance genes Lr53 , Lr56 , Lr59 , and Lr62 has been developed over many years, initially at the University of Stellenbosch (South Africa), and then at the Cereal Research Centre (Agriculture and Agri‐food Canada), and North Dakota State University (USA). A Thatcher near‐isogenic line carrying Lr53 , Thatcher‐ Lr53 (Reg. No. GS‐185, PI 682091), was derived, while, following allosyndetic pairing induction, numerous recombinants of the translocations carrying Lr56 , Lr59 , and Lr62 have been produced and mapped. The shortest and potentially most useful recombinants were identified and named Lr56 ‐157 (Reg. No. GS‐186, PI 682092), Lr59 ‐151 (Reg. No. GS‐187, PI 682093) and Lr62 ‐129 (Reg. No. GS‐188, PI 682094). The four resistance genes may be homeo‐allelic since they have similar locations at the telomeric ends of either chromosome 6AS or 6BS, appear to give strong race‐specific resistance to a wide range of P. triticina races, occur in the proximity of the Xdupw217 simple sequence repeat marker locus, and, except for Lr59 (which is derived from a smaller primary introgression), were loosely associated with a stripe rust (caused by P. striiformis Westend. f. sp. tritici Erikss.) resistance locus in the original translocations. This study serves to confirm the potential effectiveness of the genes retained in the shortened translocations by testing with 11 representative, current US races of P. triticina .
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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 | 0.000 |
| 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) | 0.000 | 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 it