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Record W2243414996 · doi:10.7324/jabb.2015.3507

Regeneration of plantlets of Piper longum L. through in vitro culture from nodal segments

2015· article· en· W2243414996 on OpenAlexfundno aff
Bandana Padhan

Bibliographic record

VenueJournal of Applied Biology & Biotechnology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsnot available
FundersMultiple Sclerosis Scientific Research Foundation
KeywordsBiologyRegeneration (biology)Tissue culturePiperBotanyIn vitroCell biology

Abstract

fetched live from OpenAlex

Plantlet regeneration in Piper longum L. has been achieved from nodal segments excised from in vivo grown plantlets cultured on MS medium supplemented with growth regulators.The present investigation was carried out to regenerate plantlet of Piper longum L through in vitro culture.Nodal segments from one year old plants of field grown Piper longum were used as explants for initial culture.The nodal explants were cultured on MS medium supplemented with different concentration and combination of cytokinines and auxines for primary shoot proliferation.The best shoot proliferation was observed in MS medium containing 1.0 mg/l Kinetin and 1.5 mg/l BAP where 98 % of explants showed proliferation with highest rate of shoot multiplication (5-6 shoots per explant).Callus induction occurred in (1 mg/l) BAP and (0.5 mg/l) Kinetin and 10-15 days of callus subculture initiation of greenish white shoot buds was observed.For rooting, the in vitro micro shoot were inoculated to MS basal media supplemented with 0.5 mg/l IAA and rooting was more profuse.The regenerated plantlets were successfully established in soil with survival rate 90%.The protocol described is simple, rapid efficient for in vitro propagation of P. longum (L.) from nodal explants and soil establishment of plantlets.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.246
Teacher spread0.232 · 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

Citations12
Published2015
Admission routes1
Has abstractyes

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