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Record W2800550778 · doi:10.17660/ejhs.2018/83.2.6

Fresh figs (Ficus carica L.): pomological characteristics, nutritional value, and phytochemical properties

2018· article· en· W2800550778 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Horticultural Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry and biological activities of Ficus species
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsFicusCaricaPhytochemicalCultivarMoraceaeDPPHTanninAscorbic acidAnthocyaninGallic acidTitratable acidFood scienceChemistryFlavonoidDry matterHorticultureBotanyBiologyAntioxidant

Abstract

fetched live from OpenAlex

Ficus carica L. (Moraceae) is a wild spread tree including more than 600 cultivars with different phenotypic characteristics. Their fruits are a good natural source of nutrients, minerals, and phytochemicals, which may improve human health. The pomological characteristics of nine Algerian cultivars of fresh figs were determined using descriptors resulting from the IPGRI and CIHEAM list. The consumer test was carried out using an in-store consumer test. The proximal components (dry matter, ash, titratable acidity, crude protein (Kjeldahl), ascorbic acid, and carbohydrates) were estimated using the AFNOR and Dubois methods. Minerals (Ca, K, and Na) were analyzed using a flame spectrophotometer. Phosphorus, phenolic, flavonoid, anthocyanin, and condensed tannin concentrations were quantified by UV-spectrophotometer. The antioxidant capacity was evaluated using the 2, 2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging assay. The pomological results obtained made it possible to discriminate between the different fig cultivars. Skin color results indicate two groups (light skin and dark skin groups). The consumers preferred 'Boughandjo', 'Bither', and 'Bakkor Biadh', with high percentages of acceptance (68.75, 70.31 and 75%). Figs are a good source of carbohydrates (especially 'Safra' pulp [26.02 0.63 g 100 g -1 Fresh weight]), vitamin C (10.67 0.31 mg 100 g -1 Fresh weight for 'Onk Elhamam' peel), and potassium and calcium (266.67 2.78 and 125.44 3.37 mg 100 g -1 Fresh weight for 'Bakkor Khal' peel, respectively). In the majority of the tested cultivars, peels exhibited higher phenolic (1.63 vs. 1.11 mg gallic acid equivalents g -1 Fresh weight), flavonoid (147.76 vs. 83.82 g quercetin equivalents g -1 Fresh weight), anthocyanin (64.82 vs. 41.72 g cyanidin-3-rutinoside equivalents g -1 Fresh weight) and condensed tannin (6.08 vs. 2,06 g catechol equivalents g -1 Fresh weight) levels and antioxidant activities (18.91 vs. 29.51 mg mL -1 ) than pulps. Peels of dark cultivars showed higher phytochemical and antioxidant properties than those of light cultivars. Antioxidant activity was correlated with total phenolic and condensed tannin concentrations (r = 0.521 and 0.659). The pomological characterization and consumer tests reported here are important for allowing farmers to judge about the potential of the tested cultivars and could be helpful during fig breeding and cultivar selection. Based on their diversity, tastes, nutritional and phytochemical

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score0.801

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.202
Teacher spread0.181 · 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