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Record W3204103946

PHYTOCHEMICAL INVESTIGATION AND IDENTIFICATION OF ACTIVE CONSTITUENTS FROM EXTRACT OF PINUS. SYLVESTRIS AND ITS EFFICACY AGAINST GRAPEVINE DOWNY MILDEW (PLASMOPARA VITICOLA)

2020· article· en· W3204103946 on OpenAlexvenueno aff
Mehwish Qayyum, Kanwal Ashiq, Samreen Tanveer, Mayyda Asif Bajwa, Sana Ashiq

Bibliographic record

VenueAdvanced Food and Nutritional Sciences · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiological Activity of Diterpenoids and Biflavonoids
Canadian institutionsnot available
Fundersnot available
KeywordsPlasmopara viticolaDowny mildewPseudoperonospora cubensisPhytochemicalChemistryOomyceteBotanyBiologyPathogenMicrobiology
DOInot available

Abstract

fetched live from OpenAlex

Downy mildew is a plant disease which is instigated by a distressing pathogen of grapevine called oomycete Plasmopara viticola. In the current study extracts of bark of Pinus Sylvestris was screened to find the activity against the pathogen and to identify the active constituents through phytochemical investigation. Extracts showed activity against P. viticola but Dichloromethane extracts showed most result and lead to the isolation of a rosin acid 7a, 15- hydroxyl dehydroabietic acid. The isolated compounds were fully characterized using spectroscopic analysis 1D and 2D NMR, IR, optical rotation and spectrometric analysis using GC-MS. Out of these 7a,15- hydroxyl dehydroabietic acid showed 90% 100% efficacy. The isolated secondary metabolite is obtained from renewable sources in large amounts at comparatively cheaper prices. Hence this active constituent is indeed strong candidate for the economical production of Natural plant derived Fungicide against a pathogen. This is a great opportunity for forest and agricultural industry for the conversion of low value by-products into more efficient high value added bioactive extracts

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.311

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 studies0.0000.001
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 head0.024
GPT teacher head0.259
Teacher spread0.235 · 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 venueAdvanced Food and Nutritional SciencesSame topicBiological Activity of Diterpenoids and BiflavonoidsFrench-language works237,207