Using QTL-seq to mine genes related to petiole length of cabbage
Bibliographic record
Abstract
The length of the petiole determines the area of a single plant. It is great significance to mining genes related to the length of the petiole of cabbage. In this experiment, short-petiole of high-bred line 301 ( male parent )、long-petiole of high-bred line 294 (fe male parent ) and its F 2 were used as materials. Extreme trait materials were selected from F 2 (30 long-petiole and 30 short-petiole materials) were used to construct pools of DNA. The candidate genes related to the petiole length of cabbage were mining using combination of QTL-seq and SNP / InDel-index. In this study, six candidate genes controlling the petiole length were identified from genome of cabbage. Seven candidate genes were enriched in the three pathways of SKU5 protein coding, (XTH) coding and plant cell wall synthesis. This study provides a reference for cloning of genes related to petiole length in cabbage.
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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".