Quantitative trait loci and candidate genes responsible for pale green flesh colour in watermelon (<i>Citrullus lanatus</i>)
Bibliographic record
Abstract
Abstract Flesh colour is an important trait that affects the nutritional value, consumer preference, and breeder selection of fruits. In this study, we developed an F2 population derived from crossing the parental lines ZXG1555 (pale green flesh) and Cream of Saskatchewan (short for ‘COS’; pale yellow flesh) to identify quantitative trait loci (QTLs) and predict candidate genes that determine flesh colour and chlorophyll content. We found a major effective QTL (qfc10.1) region harbouring 22 annotated genes related to pale green flesh colour and chlorophyll content in the same region (~519 kb) on chromosome 10. Two Kompetitive Allele‐Specific PCR (KASP) markers were developed based on two single nucleotide polymorphisms (SNPs) in candidate gene Cla97C10G185970 annotated as plastid lipid‐associated protein, which exhibited a high correlation of pale green and non‐pale green flesh fruits according to the genotype results. The findings of this study provide a fundamental basis for further fine mapping and functional analyses of candidate genes associated with pale green flesh colour in watermelon.
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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 | 0.000 |
| 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".