Reproductive Biology and Flowering of Feijoa (Acca sellowiana (Berg) Burret) in Areas of Marginal Occurrence
Bibliographic record
Abstract
Studies of feijoa adaptability in different locations, with specific weather conditions can be useful for the cultivation of the species. The objective of this work was to study aspects of reproductive biology (pollen viability and fruit set under different methods of pollination) and flowering phenology of feijoa in regions of marginal species occurrence. Progenies of five different crosses were evaluated in 2011 in Pato Branco and Dois Vizinhos, Paraná, Brazil. Effective fruit set was low with manual self-pollination and open pollination, but was higher with manual cross-pollination, demonstrating a lack of pollinators or even self-incompatibility in some progenies. For both sites, pollen viability was extremely low and atypical for the species. The flowering period of feijoa started earlier and was extended in these marginal regions. Manual pollination is required for a good fruit set.
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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".