MétaCan
Menu
Back to cohort
Record W3009186145 · doi:10.5539/jas.v12n4p163

Physiological and Sanitary Attributes Evaluation of Organic Coriander Seeds Treated With Essential Oils

2020· article· en· W3009186145 on OpenAlexvenueno aff
Ariadne Waureck, Ana Dionísia da Luz Coelho Novembre

Bibliographic record

VenueJournal of Agricultural Science · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAllelopathy and phytotoxic interactions
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationSeedlingHorticultureShootFungicideEucalyptusEssential oilBiologyBotany

Abstract

fetched live from OpenAlex

For seeds organic production the control of fungi with chemical fungicides is not indicated, which requires the use of biological products. In this sense, the use of essential oils derived from plants is a possibility for microorganisms control. This study evaluated technical feasibility of applying the essential oils of clove, lemongrass, rosemary, eucalyptus, ginger and Tea tree, in concentrations of 500, 1.000, 1.500 and 2.000 μL-1 to organic coriander seeds of the Verdon variety, besides the control. At the beginning of storage and every 60 days the seeds were evaluated for water content, germination, germination velocity index and root emission, seedling emergence and seedling emergence speed index, to shoot length, rootlength, total length and sanity. The experimental design was a completely randomized (DCR), in a 6x4 + 1 factorial scheme, with six essential oils and four concentrations + control treatment, with four replications for germination and vigor analysis, and eight replications for sanitary analysis. With increasing concentration of essential oils, there was a linear reduction in germination and a reduction in the incidence of Alternaria sp. using clove and rosemary oils at a concentration of 500 μL L-1, eucalyptus at a concentration of 1.500 μL L-1 and ginger with 2.000 μL L-1. Therefore, it is possible to use clove and rosemary essential oils up to 500 μL L-1 to reduce the incidence of Alternaria sp. without causing significant reduction in germination.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.898
Threshold uncertainty score0.255

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 studies0.0000.000
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 head0.037
GPT teacher head0.247
Teacher spread0.211 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Agricultural ScienceSame topicAllelopathy and phytotoxic interactionsFrench-language works237,207