Genetic map of <i>lps3</i>: a new short petiole gene in soybeans
Bibliographic record
Abstract
The short petiole trait is valuable for the development of plant ideotypes with high yield by improving the plant canopy. The soybean breeding line SS98206SP has shown extremely short petioles in the greenhouse and fields. A new single recessive gene designated as lps3 confers the short petiole trait in SS98206SP. The objectives of this study were to map the short petiole gene in SS98206SP with PCR-based markers. In total, 187 F(2) plants and their F(2:3) families from a cross between the short petiole line SS98206SP and the long petiole cultivar 'Taekwang' along with the two parental lines were evaluated for their petiole lengths in a greenhouse. An SSR marker from each 10-cM section of a consensus soybean map was selected for bulked segregant analysis (BSA) to identify the tentative genomic location of the gene. The BSA technique was useful to localize the gene to a genomic region in the soybean linkage group F (chromosome 13). A linkage map with six SSR and two SNP markers flanking the gene was constructed. We positioned the gene between two SSR markers, Sat_234 and Sct_033, at distances of 8.5 and 3.5 cM from the marker, respectively. The makers flanking the gene (lps3) were located within 3-4 cM of the gene. These markers will be useful for maker-assisted selection in the development of new ideotype soybean plants.
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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) | 0.001 | 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".