Dissecting barley malting quality QTLs with maize Ac/Ds transposons
Bibliographic record
Abstract
Malting quality of barley is a complex but important trait for the malting and brewing industries. Several malting quality QTLs have been located on the chromosome 4H of barley. However, the genes associated with these QTLs regions are unknown. The Ac/Ds transposon system was used to dissect these malting quality QTLs. New single-copy Ds insertion lines (TNPs) were generated through sequential re-activation of Ds transposon in the candidate parental lines – TNP-29 and -79, in which the Ds insertion sites were mapped in the vicinity of the malting quality QTLs on chromosome 4H. Reactivation of Ds was carried out by crossing these TNPs with AcTPase expressing plants as well as through in-vitro expression of AcTPase in immature barley embryos. Furthermore, a new PCR based approach – HE-TAIL PCR was devised to expedite the detection of new transposition events. This study will contribute to a better understanding of genes involved in the barley malting quality.
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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) | 0.002 | 0.001 |
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".