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Record W1826317000 · doi:10.1139/cjb-2015-0050

Morphological, anatomical, and ultrastructural changes in <i>Vaccinium corymbosum</i> fruits during ontogeny

2015· article· en· W1826317000 on OpenAlexvenueno aff
Agata Konarska

Bibliographic record

VenueBotany · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Surface Properties and Treatments
Canadian institutionsnot available
FundersUniwersytet Przyrodniczy w Lublinie
KeywordsVacciniumBiologyCultivarOntogenyEpicuticular waxBotanyBerryCuticle (hair)Shelf lifeHorticultureWaxFood science

Abstract

fetched live from OpenAlex

Given their attractive appearance and flavour, as well as high antioxidant content, Vaccinium corymbosum L. fruits are greatly appreciated by consumers. These quality traits are primarily dependent on pomological characteristics of the cultivar. Vaccinium corymbosum ‘Bluecrop’ is one of the most popular and valuable cultivars of highbush blueberry; however, its fruits become soft shortly after harvesting. Changes in the fruit structure and in the content of phenolic compounds and, in particular, emergence of some traits related to fruit firmness and shelf life, were analysed in the surface layers of ‘Bluecrop’ fruits from the stage of flowering through the fruit set stage to harvest maturity using light microscopy, transmission electron microscopy, and scanning electron microscopy. The study involved investigations of qualitative and quantitative changes in the development and microstructure of epicuticular wax, cuticle, epidermis, hypodermis, and stone cells, and analysis of the presence of tannins and anthocyanins. Moreover, it was found that the development of many traits associated with fruit firmness and shelf life started in the initial period of ontogeny. These results can be useful for the researchers developing new cultivars in detection of early manifestations of developmental features of specific quality traits and in comparative analyses of blueberry cultivars differing in fruit firmness and shelf life.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

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

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 head0.032
GPT teacher head0.215
Teacher spread0.183 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations22
Published2015
Admission routes1
Has abstractyes

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