Comparison of heritable pleiotropic effects of the glabrous and flat shape traits of peach
Bibliographic record
Abstract
The genetic variants of peach to nectarine and of round to flat fruit shape are associated with broad heritable pleiotropic effects. In the present study, 216 individuals of four cross families were compared for fruit weight and soluble sugar content (SSC) to identify their effects. Peach fruit weight was increased by 42.7, 23.0 and 125.0% and peach fruit SSC was decreased by 14.7, 7.3 and 24.7% compared with nectarine, flat peach and flat-nectarine, respectively. The weight decrease and the SSC increase in flat-nectarine were about equal to the sum of those for nectarine and flat peach. The additive effect of the glabrous and flat shape traits on fruit weight and SSC made the flat-nectarine extremely small, but high in SSC.Key words: Peach, pleiotropic effects, glabrous trait, flat shape trait
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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) | 0.001 | 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".