Evidence map›Paper›PMID 38133133›Full record

ArticleMethods and protocols2023

A Versatile Protocol for Efficient Transformation and Regeneration in Mega

Pragya Yadav, V V Santosh Kumar, Jyoti Priya, Shashank Kumar Yadav, Shivani Nagar, Meenu Singh, Viswanathan Chinnusamy

Open access · goldAbstract read
In one paragraph

Article in Methods and protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Pragya YadavDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute (IARI), New Delhi 110012, India.
V V Santosh KumarDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute (IARI), New Delhi 110012, India.
Jyoti PriyaDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute (IARI), New Delhi 110012, India.
Shashank Kumar YadavDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute (IARI), New Delhi 110012, India.ORCID 0009-0007-3644-7444
Shivani NagarDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute (IARI), New Delhi 110012, India.ORCID 0000-0002-2523-7261
Meenu SinghDepartment of Biotechnology, College of Engineering and Technology, IILM University, Greater Noida 201310, India.
Viswanathan ChinnusamyDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute (IARI), New Delhi 110012, India.
Indian Agricultural Research Institute · INIILM Institute for Higher Education · IN

Funding

ICAR Scheme on Incentivizing Research in Agriculture, Sub-project on "Towards Understanding the C3-C4 Intermediate Pathway in Poaceae and functionality of C4 Genes in rice". ICAR/NRRI/Incentivizing Research in Agriculture/C3-C4/IARI
6 · The paper itself

Abstract

Rice is one of the apex food crops in terms of meeting the daily calorific and dietary requirement of the majority of the world population. However, rice productivity is severely limited by various biotic and abiotic attributes, causing a severe threat to global food security. In the use of functional genomics and genome editing for the generation of trait-enhanced genotypes, it is necessary to have an efficient genetic transformation and regeneration protocol. The recalcitrant nature and paucity of efficient and versatile genetic transformation and regeneration protocols for

Indexed as

BAPcallus induction efficiencyin vitro culturekinetinNAAregeneration efficiencytransformation efficiency

Identifiers

PMID38133133
PMCPMC10745540
OpenAlexW4388938637

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.