Construction and Phenotypic Characterization of a Recombination Inbred Line (RIL) Population from a Melo-agrestis Melon Hybrid
Bibliographic record
Abstract
Melon (Cucumis melo L.) is an economically important horticultural crop worldwide, while its production is continuously endangered by powdery mildew (PM), a fungal disease mainly caused by Podosphaera xanthii, due to the insufficiency of disease resistant germplasms. Here, a melon recombinant inbred line (RIL) population that consisted of 188 independent individuals was obtained through the crossing of ‘SN-1’ (C. melon L. ssp. melo) and ‘YJM’ (C. melon L. ssp. agrestis), two parents with contrasting PM resistance, followed by 7-round selfings. Comprehensive phenotypic investigation revealed substantial variations in key agronomic traits among these RILs, such as stem diameters of 3.7~12.6 mm and internode lengths of 1.6~12.2 cm at the anthesis stage, as well as peduncle lengths of 0.5~9.5 cm and soluble solid content of 1.6~17.4% at the maturation stage. Particularly, 95 RILs, of which 60 and 35 belonged to thin-peel and netted types, respectively, were identified to be highly resistant to P. xnathii infection, providing new germplasms for melon improvement. Altogether, the generation of this melo-agrestis RIL population, together with the phenotypic observations, lays a solid foundation for mechanistic investigation of the traits with economic importance and could contribute to future breeding programs of melon cultivars with PM resistance.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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".