Precisely Positioning QTLs for Premature Senescence Resistance in Asparagus Bean Using a High-density SNP Chip
Bibliographic record
Abstract
Premature senescence (PS) is an important adverse agronomic trait of asparagus bean. Since immature pods are the major economic organ for asparagus bean, PS will influence the pod number in late stage which leads to the decline of pod yield and brings economic losses to growers. Using an enlarged recombinant inbred line population (RIL, F6:8) comprising 119 lines from the cross of ZN016 and ZJ282 as materials, the study carried out the quantitative trait loci (QTL) precise positioning of PS resistance traits of asparagus bean based on the high density molecular genetic map with 8,032 SNP loci which was constructed by the 60K high-density SNP chip of cowpea. We positioned the major QTLs for PS resistance of asparagus bean to an about 0.424 cM interval on LG11. Compared with previous results of QTL positioning of the same trait, the coarse positioning results in the early stage of this laboratory were confirmed, and the accuracy of QTL positioning was greatly improved which greatly reduced the distance between the wing markers. This study might provide the basis for molecular marker-assisted breeding and gene cloning against the agronomic trait of PS resistance.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".