Registration of the BISON Genetic Stocks in <i>Hordeum vulgare</i> L.
Bibliographic record
Abstract
Near‐isogenic lines (NILs) were developed in barley ( Hordeum vulgare L.) and evaluated for resistance to barley stripe rust (BSR; incited by Puccinia striiformis f. sp. hordei ) and agronomic potential. These NILs, the BISON lines (Barley stripe rust resistance ISOgeNic), represent BSR resistance quantitative trait loci (QTL) alleles introgressed individually and in all possible combinations into a susceptible background ‘Baronesse’ (PI 568246). The lines are BISON 1H (Reg. No. GS‐4, PI 659445), BISON 4H (Reg. No. GS‐8, PI 659449), BISON 5H (Reg. No. GS‐10, PI 659451), BISON 1H +4H (Reg. No. GS‐5, PI 659446), BISON 1H+5H (Reg. No. GS‐7, PI 659448), BISON 4H+5H (Reg. No. GS‐9, PI 659450), BISON 1H+4H+5H (Reg. No. GS‐6, PI 659447), BISON 7H (Reg. No. GS‐11, PI 659452), and BISON 0‐QTL (Reg. No. GS‐12, PI 659453), and the QTL donors were BCD12 (Reg. No. GS‐2, PI 659443), BCD47 (Reg. No. GS‐3, PI 659444), and D3–6/B23 (Reg. No. GS‐1, PI 659442). The experimental lines and released line names are the same. Phenotypic data, in conjunction with genotypic data, were used to characterize QTL allele introgressions and to assess the impact of these introgressions and pyramiding on agronomic performance. The BISON lines represent valuable sources of BSR resistance in an improved background, and performance data provide useful assessments of QTL allele introgressions (alone and in combination) and quantitative versus qualitative disease resistance.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".