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Record W2922162041 · doi:10.5539/jas.v11n4p197

Evaluation of Vegetative Growth, Chemical Composition, and Antioxidant Capacity of Essential Oil of Peppermint Under Water Regimes

2019· article· en· W2922162041 on OpenAlexvenueno aff
Diogo Mendes da Silva, Suzan Kelly Vilela Bertolucci, Smail Aazza, Alexandre Alves de Carvalho, Simony Carvalho Mendonça, Thais Cristina Loyola da Silva, José Eduardo Brasil Pereira Pinto

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsnot available
Fundersnot available
KeywordsEssential oilDry matterChemical compositionChemistryField capacityComposition (language)AntioxidantAntioxidant capacityHorticultureVegetative reproductionManureBotanyAgronomyBiologyFood scienceIrrigation

Abstract

fetched live from OpenAlex

The purpose of the present work was to evaluate the vegetative growth of Mentha piperita L. cultivated under different water availability, as well its influence in content, chemical composition and in vitro antioxidant activity of its essential oil. Plants were propagated by mother plants microcutting and scions were transplanted to 5 L pots with soil and cattle manure. Afterward, were kept at field capacity for 30 days and under treatment for 40 days. It was treated with different levels of water deficit treatments: (T1): 100 of field capacity (FC); (T2): 80 of FC; (T3): 60 of FC; (T4) 40 of FC with 5 blocks. Vegetative growth was evaluated by dry matter contents of all part of plants and by root/aerial rate. The essential oil of the leaves was extracted by hydrodistillation, analyzed by GC-FID and GC-MS and in vitro antioxidant potential was evaluated. A significant decrease in the dry matter of leaves and stems accompanied with a decrease in the roots dry matter was observed with an increase in the water stress. Quantitative chemical differences were observed in the chemical composition of the essential oil, according water availability. Total antioxidant activity showed a gradual increase as water stress progressed.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.190

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.231
Teacher spread0.216 · 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 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

Citations3
Published2019
Admission routes1
Has abstractyes

Explore more

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