Interactive effects of 6-BA, GA4+7 and prohexadione-calcium on ‘Gala’ apples
Bibliographic record
Abstract
Gibberellic acid (GA4+7) and the cytokinin 6-benzyladenine (6-BA) are used during bloom and fruit set to reduce russeting and improve typiness of select apple cultivars. The gibberellin synthesis inhibitor prohexadione-calcium (P-Ca) is used at the same developmental stage to reduce vegetative growth and susceptibility to fireblight. The use of GA4+7/6-BA for enhancing the typiness of Gala apples and the interaction of GA4+7/6-BA and P-Ca was investigated in a 2-yr experiment on mature Royal Gala/Bud 9 trees. Six treatments were imposed: (i) untreated control; (ii) 5.5 mg L−1 of GA4+7 and 6-BA; (iii) 11 mg L−1 of GA4+7 and 6-BA; (iv) 21 mg L−1 of GA4+7 and 6-BA; (v) 123 mg L−1 P-Ca; and (vi) a tank mixture of 21 mg L−1 GA4+7/6-BA and 123 mg L−1 P-Ca. Trees treated with P-Ca had 21%–45% less growth than the untreated trees or trees treated with GA4+7/6-BA. In one of two years, the addition of GA4+7 and 6-BA tank-mixed with P-Ca reduced the efficacy of P-Ca on shoot growth. GA4+7/6-BA decreased soluble solids and fruit firmness in 1 yr, suggesting a delay in fruit maturity. P-Ca alone reduced scarf skin by 7%–10%; however, this effect was negated when combined with GA4+7 + 6-BA in one of the two years. GA4+7 + 6-BA increased fruit typiness and length to diameter ratios.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".