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Record W4416168301 · doi:10.24326/asphc.2025.5548

Fruit quality of new blue honeysuckle berry cultivars after short-term storage under different conditions

2025· article· en· W4416168301 on OpenAlexaboutno aff
Jan Błaszczyk, Monika Bieniasz, Barbara Kowalczyk, Grzegorz P. Łysiak

Bibliographic record

VenueActa Scientiarum Polonorum Hortorum Cultus · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBerry genetics and cultivation research
Canadian institutionsnot available
Fundersnot available
KeywordsHoneysuckleTitratable acidCultivarBerryControlled atmosphereModified atmosphereRespiration rateCold storage

Abstract

fetched live from OpenAlex

Lonicera caerulea L. (blue honeysuckle) is an edible species cultivated for the health properties of its fruit; however, fresh fruit has a short shelf life after harvest. Therefore, the present study aimed to extend the post-harvest shelf life of fresh honeysuckle fruits under controlled storage conditions. The quality of three Canadian blue honeysuckle cultivars was assessed after 7 and 14 days of storage in a controlled atmosphere (20% CO2 and 5% O2) (CA), modified atmosphere (MAP) in Xtend bags and air atmosphere (AA). The duration of storage conditions significantly affected the quality traits of blue honeysuckle berries. Extended storage time (14 days) generally had a negative effect on the quality of the tested fruit, especially when stored in air atmosphere. The berries stored in a controlled atmosphere showed the best quality, as evidenced by the highest firmness, the lowest weight loss, and the smallest percentage of rotten berries. The effect of storage conditions on the value of parameters such as soluble solids (SSC), titratable acidity (TA) or the SSC/TA ratio were often not observed. The respiration rate of fruits was usually independent of both the cultivar and storage conditions. Compared to other cultivars, Boreal Beauty fruits were characterized by a lower content of SSC, higher TA and a lower SSC/TA ratio, and lower polyphenol content. Fruits of the Boreal Blizzard showed the highest susceptibility to rot.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.040
GPT teacher head0.319
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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