Performance of Apple Cultivars in the 1995 NE-183Regional Project Planting: III. Fruit SensoryCharacteristics
Bibliographic record
Abstract
Appearance and internal sensory quality are important aspects to cultivar adaptation because they influence consumers' decisions in purchasing apples ( Malus x domesticaBorkh.) for fresh consumption. Our objective was to examine the sensory quality of twenty test cultivars grown at various locations in the eastern United States and in Summerland, British Columbia, Canada. From 1998 to 2000, fruit quality at harvest was assessed for attractiveness, desirability, flavor, crispness, juiciness, sweetness and acidity using defined rating scales. In Summerland, fruit quality was assessed after a period of air storage at 1°C relative to commercial cultivars of similar harvest period, using slightly different rating scales. Cultivars differed in crispness, juiciness and sweetness, but ratings were generally consistent across locations. 'Creston', 'GoldRush', 'Honeycrisp', 'Braebum' and 'Ginger Gold' rated high for crispness and 'Enterprise', 'Pristine' and NY 75414-1 rated low. 'Honeycrisp', 'Creston', 'Golden Supreme' and 'Shizuka' were rated highest for juiciness. 'Fuji' and 'Orin' rated highest and 'GoldRush' and 'Pristine' rated lowest for sweetness, whereas the opposite was true for acidity ratings. Other sensory attributes were affected by the interaction between location and cultivar. No single cultivar was superior at all sites. Some site-to-site differences in fruit attractiveness appeared to arise from climatic influences on skin finish or color development. Results support the need for widespread systematic testing of new apple cultivars.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".