MétaCan
Menu
Back to cohort
Record W4391123668

The study of callus induction and effect of salicylic acid on callus secondary metabolites of Juniperus excels

2020· article· en· W4391123668 on OpenAlexaff
Ahmadeza Dorri, Sepideh Kalatejari, Mahmood Dezham, A Khalighi, Thomas G. Pypker

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicRemote Sensing and Land Use
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsCallusSalicylic acidBotanyChemistryBiologyHorticultureBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

Juniperus excelsa is a light demanding and long-lived tree species of the Cupressaceae family. This species has been shown good tolerant to harsh conditions such as cold and drought situations. This research aims to assess the effect of different concentrations of auxin and cytokinin on callus induction of J. excelsa asfactorial based on completely randomized block design and to study the effect of salicylic acid on phenol, flavonoid and inhibition of DPPH radicals of calli. The explants were selected from sound trees with no diseases and pests. Woody plant medium (WPM) was selected with same laboratory conditions (experimental place, temperature, explant age, hormone type). The experimental treatments were auxin with 5 levels (0, 1 mg/l NAA, 2 mg/l NAA, 1 mg/l 2, 4-D, and 2 mg/l 2,4-D), and cytokinin with 3 levels (0, 0.25 mg/l Kin, 0.5 mg/l kin). The results showed the explants gradually swelled after 3 weeks, and completely induced callus after 6 weeks. The interaction of auxin and cytokinin hormones showed that the highest amount of callus induction (80%) was obtained in the interaction of 0.25 mg/l Kin and 1 mg/l NAA. The highest fresh weight of callus was in the interaction of 0.25 mg/l and 1 mg/l NAA as 1.1 gr. Besides, the dry weight of callus was recorded in the interaction of 0.25 mg/l Kin and 1 mg/l NAA. Kin combined with NAA caused the formation of compressed and yellow callus, and Kin combined with 4, 2-D, created a friable and green callus. On the other hand, we found that the total phenol content in 100 µM SA (31.8 mg gallic acid/ grDW) was higher than other treatments. There was no significant difference between control and 50 µM SA. The highest (9.3 mg quercetin / grDW) and lowest (2.05 mg quercetin / grDW) flavonoid contents were found in 100 µM SA and control, respectively. In addition, the maximum inhibition of DPPH was recorded in 100 µM SA (35.06%), while the minimum was observed in control (25.3%).

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 score0.003

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 head0.160
GPT teacher head0.462
Teacher spread0.302 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicRemote Sensing and Land UseFrench-language works237,207