Registration of ‘Becker’/‘Massey’ Wheat Recombinant Inbred Line Mapping Population
Bibliographic record
Abstract
‘Becker’/‘Massey’ (Reg. No. MP‐5, NSL 479730 MAP), is a soft red winter wheat ( Triticum aestivum L.) recombinant inbred line (RIL) population developed by Virginia Polytechnic Institute and State University. This mapping population is composed of 152 F 7:14 RILs that were developed using single‐seed descent in earlier generations (F 2:3 – F 7:8 ) and then advanced and tested in headrows in the field in later generations. The population has been used to map quantitative trait loci (QTL) associated with adult plant resistance to powdery mildew [APR‐PM; caused by Blumeria graminis (DC.) E.O. Speer f. sp. tritici Em. Marchal (syn. Erysiphe graminis f. sp. tritici )] and Fusarium head blight (FHB), primarily caused by Fusarium graminearum Schwabe [telomorph: Gibberella zeae Schw. (Petch)]. It also has been used to study the effects of dwarfing and photoperiod‐sensitivity genes on expression of FHB resistance. Genetic marker data collected on this population includes 96 simple sequence repeat and 740 Diversity Arrays Technology (Yarralumla, ACT, Australia) markers. Chromosome linkage maps of this population were constructed, except for chromosomes 3D and 6D, and used for QTL analyses. Unique and major QTLs were identified for APR‐PM on chromosomes 1BL, 2AL, and 2BL and for FHB resistance on 3BL, 4BS, and 4DS of Massey, which can be incorporated into cultivar development programs via enrichment of favorable alleles.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.009 |
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".