Performance and Fruit Ripening of Red Orange Tree Grafted onto Two Rootstocks
Bibliographic record
Abstract
The cultivar Sanguínea de Mombuca (Citrus sinensis [L.] Osbeck) bears lycopene-rich fruits with attractive red pulp and high nutritional value; thus, this cultivar has the potential to diversify orchards for the production of fruits for natural consumption and juice. Therefore, studies on the productive performance in combination with rootstocks are required. This study evaluated the phenological cycles, yield, ripening curve, and fruit quality of this cultivar grafted onto ‘Rangpur’ lime and ‘Swingle’ citrumelo. The study was conducted in the Midwest of the state of São Paulo, in the subtropical region of southeastern Brazil, and the field experiment was performed over two consecutive seasons. Rootstocks had little effect on the duration of the phenological cycles. The fruit ripening curve predicted the time of harvest as approximately 240 days after anthesis, regardless of rootstock. Fruits harvested from trees grafted onto ‘Swingle’ citrumelo showed higher levels of soluble solids and sugars and higher technological indices. The larger number of fruits and greater fresh weight confirmed that better yield performance occurred with the trees grafted onto the ‘Rangpur’ lime as opposed to the ‘Swingle’ citrumelo rootstock.
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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".