Development of SCAR Marker Linked to Sex Determination Locus in<i> Trichosanthes dioica</i>
Bibliographic record
Abstract
Pointed gourd ( Trichosanthes dioica Roxb .), a perennial herb of family Cucurbitaceae, is morphologically different from the other cucurbits due to its dioecism and vegetative means of propagation. Breeding in pointed gourd is less viable due to poor germination, vegetative propagation mean and dioecy. A reliable method for determining the gender of pointed gourd at seedling stage would facilitate breeding programs. With this aim, RAPD markers were used to identify a sex linked marker. RAPD profiles with 104 primers were analyzed in 10 male and 44 female plants for presence/absence of specific bands. Two sex-specific fragments, OPC05 1000 and OPK07 300 , associated with maleness and femaleness, respectively, were converted in SCAR markers. Based on the sequence of OPC5 1000 and OPK-07 300 , five and one pair of specific forward and reverse SCAR markers were designed, respectively. Among five male specific SCAR, only one marker (SCF/R-3 628 ) discriminated both sexes. Thus, SCAR designed from RAPD fragment could be used as an effective and reliable marker for early sex diagnosis and to reduce both time and costs associated with breeding in T. dioeca .
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".