Study of Pod Length Trait in Doubled Haploid Brassica napus Population by Molecular Markers
Why this work is in the frame
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Bibliographic record
Abstract
Pod length is one of the effective components on canola yield selection on the basis of which can increase not only the seed yield but also the oil yield. Molecular markers associated with long pod loci were identified in a doubled haploid population derived from a cross between the canola lines ‘Quantum’ (long pod) × ‘China A’ (short pod) using RAPD and bulked segregant analysis. A molecular marker linkage map of 37 loci for this population was used to identify quantitative trait loci (QTL) controlling pod length of which two markers in two unlinked loci were selected by using an interval mapping model which explained 22% of phenotypic variation for pod length in this population. Selection for markers at two loci for increasing pod length resulted in a group of doubled haploid lines with an average 112 mm pod length that increased 15% of whole population mean. This shows that using these markers in the breeding program will enhance the breeding of long pod canola varieties.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 it