Molecular Identification of High Quality Subunit 1 Dx 5+1 Dy 10 in Wheat Backcrossing Progenies
Bibliographic record
Abstract
This study used PCR molecular marker of high molecular glutenin 1 Dx 5 and 1 Dy 10 to carry on molecule marker-assisted selection for BC1F1 of Guinong-21 and Neepawa wheat,total 100 plants were markered. Results showed that Neepawa with 1 Dx 5 and 1 Dy 10 and BC1F2 generation could amplify specific belt 1 Dx 5 with 450 bp and 1 Dy 10 with 57 6bp,and plant with 12 glutenin could amplify 612 bp specific belt. In 100 plants,5 plants with 5+10 glutenin,34 plants with 2+12 glutenin,4 plants with 5+10 glutenin and 2+12 glutenin. In this study ,new type 57 plants with 5+12 glutenin were found. This study indicated that using molecular marker assisted selection technology,combining backcross breeding ,could identify new assembles with high quality glutenin in early generation and breed new strain with high quality glutenin,and provide breeding materials quickly for wheat breeding with high quality ,thus increasing selection efficiency and breeding procedure.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".