Seedlessness and Fruit Quality Traits of Gibberellin Induced Parthenocarpic Fruit in Seven Tomato Genotypes (Solanum lycopersicum L.)
Bibliographic record
Abstract
Parthenocarpic fruit development is regulated by a plant hormone, i.e. gibberellin. The response of seven lines of tomato to gibberellin was investigated to distinguish the degree of parthenocarpy and to compare the quality of seedless and seeded fruits. The flower from stage 12 (size 5 mm) until 4 days after anthesis was sprayed with GA3 0 mmol/L and 0.06 mmol/L. The treatments were arranged in Randomized Complete Block Design with three replications. GA3 0.06 mmol/L reduced pollen germination, whose pollen germination (28.98%) was lower than 0 mmol/L (46.06%). The total numbers of seeds and fertilized seeds of treated fruit were significantly reduced in comparison with the control. Gibberellin application also increased the number of degenerated seeds. Within the genotypes studied, four groups were distinguished, which showed a different degree of parthenocarpy in response to gibberellin application. Kaliurang 206 and A65 are categorized as seedless with a 93.65% and 89.58% reduction in the total number of seeds, respectively. Gamato 1 is categorized as low-seeded with an 83.83% reduction in the total number of seeds. Gamato 3, Gamato 5, and B78 are categorized as medium-seeded with a 69.83-80.85% reduction in the total number of seeds, whereas A175 is categorized as normal-seeded with a 36.94% reduction in the total number of seeds. Gibberellin significantly increased the sugar content by 14.04% and reduced the ascorbic acid content by 9.68% of parthenocarpic fruits compared with the untreated.
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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".