Storage behaviour of ‘Reinette du Canada’ apple cultivars
Bibliographic record
Abstract
Apple (Malus domestica Borkh) cultivars ‘Reinette du Canada’ (RC) and ‘Reinette Grise du Canada’ (RG) have been declared throughout the European Community as protected designation of origin (PDO) ‘Manzana Reineta del Bierzo’. The aim of this research was to find out the influence of storage technique on quality of PDO apple cultivars ‘RC’ and ‘RG’, and to evaluate the absence of traditional post-harvest treatments in these high quality cultivars in order to reduce pesticide residues in fruit. Apples were kept in standard cold storage or in controlled atmosphere (CA). At harvest time and during storage, fruit from each treatment and storage technique was analysed to determine quality parameters as well as disorder incidence. CA storage has been useful to delay the maturity process of PDO apple cultivars ‘RC’ and ‘RG’ and to reduce the incidence of storage disorders. Apple cultivars had different behaviour so ‘RG’ cultivar showed lower weight loss (5.1%), shrivelling (6.4%) and bitter-pit (11%) than ‘RC’ cultivar (8.3%, 60.8% and 34%, respectively) at the end of storage. The response of both cultivars to the treatment was quite different, so ‘RG’ adapted better than ‘RC’ to the absence of postharvest treatments. Untreated ‘RG’ showed more brightness, total soluble solids (TSS) and TSS:titratable acidity values than treated ‘RG’, factors that could improve consumer acceptance. Effectiveness of postharvest treatment in terms of bitter-pit was lower in ‘RG’ than in ‘RC’. These results indicate that ‘RG’ would adapt better to storage without the use of chemical postharvest treatments.
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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 | 0.001 | 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".