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Record W3209887436 · doi:10.1139/cjb-2021-0121

Lemon maturation causes anatomical and biochemical changes at the flavedo tissue level

2021· article· en· W3209887436 on OpenAlexvenueno aff
Patricia Liliana Albornoz, Roque Interdonato, Ariadna Hammann, Mariana Rosa, Fernando E. Prado, Viviana A. Rapisarda, Mirna Hilal

Bibliographic record

VenueBotany · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsnot available
FundersAgencia Nacional de Promoción Científica y TecnológicaUniversidad Nacional de TucumánMinisterio de Ciencia, Tecnología e Innovación Productiva
KeywordsPlasmodesmaApoplastCalloseParenchymaBiologyCell wallTranscellularSucroseVascular tissueEpicotylInvertaseBotanyCell biologyBiochemistrySeedling

Abstract

fetched live from OpenAlex

Plants mobilize photosynthates by three transport pathways: apoplastic, symplastic through plasmodesmata (PD), and transcellular. In the flavedo of post-harvest mature lemons, a high level of activity of cell wall-bound invertase (WI), an enzyme associated with transcellular transport of monosaccharides, has been detected. To elucidate whether this high enzymatic activity is related to restricted transport in the symplastic pathway with fruit maturation, the aim of the present work was to compare anatomical and biochemical parameters in peel tissues of immature and mature lemons. Anatomical structure of cell walls, callose deposition, WI activity, and sucrose content were analyzed in peel tissues of immature and mature lemons. The parenchyma of the flavedo tissue of immature lemons presented an elevated number of primary pit fields (PPF). These PPF, associated with PD or cell wall interruptions, had the appearance of a string of beads; however, in mature lemons, the number of PPF was scarce due to callose deposition. WI activity and apoplastic sucrose content increased significantly in the flavedo of mature lemons compared to immature lemons. The present findings lay structural and functional bases relevant to understanding differences between immature and mature lemons, which would help to design agricultural practices in pre- and post-harvest management.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.034
GPT teacher head0.234
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations2
Published2021
Admission routes1
Has abstractyes

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