Phenolic compounds profile, carbohydrates and external fruit quality of the ‘Concorde’ pear (<i>Pyrus communis</i>L.) after bagging
Bibliographic record
Abstract
Hudina, M., Stampar, F., Orazem, P., Mikulic Petkovsek, M. and Veberic, R. 2012. Phenolic compounds profile, carbohydrates and external fruit quality of the 'Concorde' pear ( Pyrus communis L.) after bagging. Can. J. Plant Sci. 92: 67–75. The practice of pre-harvest bagging has been extensively used in several fruit crops to improve the commercial value of the fruit. The purpose of this study was to investigate the effect of fruit bagging on internal and external quality of the European pear (Pyrus communis L.) cv. ‘Concorde’. Fruit quality was determined by chemical analyses (individual sugars, organic acids and phenolic compounds) and physical characteristics in 2005 and 2006. Bagging of pear fruit after June drop until harvest significantly reduced fruit length in both observed years. Fruit bagging resulted in increased firmness of the fruit only in 2006. Soluble solids content was significantly lower in bagged fruit in 2006. In 2005, bagging had no influence on firmness and soluble solids content. Bagging improved fruit surface lightness, since L* was higher in the bagged than in the control fruit in both years. Also the a* parameter was higher in bagged fruit. We noted significant influence of bagging on total sugars content. Bagging European pear fruit decreased the content of phenolic compounds in skin (catechin, chlorogenic acid, epicatechin, p-coumaric acid, quercetin 3-O-galactoside, quercetin 3-O-glucoside, quercetin 3-O-rhamnoside). The removal of bags 7 d before harvest significantly increased glucose, shikimic and fumaric acids.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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".