Yield and Quality Performance of Italian and American Strawberry Genotypes in Brazil
Bibliographic record
Abstract
The strawberry cultivars show variation in agronomic performance when grown in different regions of the world, due to the genotype × environment interaction. The aim of the study was to evaluate the yield performance and quality of Italian and American strawberry cultivars. We evaluated the phyllochron, which measures the time required for the emission of successive leaves in a plant, the number and commercial and non-commercial fruit yield, titratable acidity and total soluble solids (obtained from evaluations of the Brix degree of the fruit). The experimental design was a randomized complete block with 11 treatments, which were composed of the Italian strawberry cultivars (CREA-FRF PIR 29, CREA-FRF PA3, CREA-FRF CE 51, CREA-FRF CE 56, CREA-FRF Jônica and CREA-FRF Pircinque) and American (Albion, Camarosa, San Andreas, Camino Real and Aromas), with four replications per treatment, eight plants per plot, giving a total 32 plants per cultivar. Analysis of variance showed differences for phyllochron, marketable fruits yield and total soluble solids content. The American cultivar Albion showed higher phyllochron, the cultivar CREA-FRF Pircinque the lowest phyllochron. The highest yields of marketable fruits were found in American cultivars Camino Real and CREA-FRF Pircinque. The higher solids soluble was observed in Italian cultivars. Thus, we highlight the Italian strawberry cultivars, because they reflect good yield when compared to the American cultivars.
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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 | 0.001 |
| 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".