Evidence map›Paper›PMID 35448742›Full record

ArticlePlants (Basel, Switzerland)2022

Radiographic Imaging as a Quality Index Proxy for

Leonardo Vieira Campos, Arthur Almeida Rodrigues, Juliana de Fátima Sales, Douglas Almeida Rodrigues, Sebastião Carvalho Vasconcelos Filho, Cássia Lino Rodrigues, Dheynne Alves Vieira, Stella Tomaz de Castro, Aurélio Rubio Neto

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Leonardo Vieira CamposLaboratory of Seeds, Campus Rio Verde, Goiano Federal Institute of Education, Science and Technology (IFGoiano), P.O. Box 66, Rio Verde 75901-970, Brazil.
Arthur Almeida RodriguesLaboratory of Seeds, Campus Rio Verde, Goiano Federal Institute of Education, Science and Technology (IFGoiano), P.O. Box 66, Rio Verde 75901-970, Brazil.
Juliana de Fátima SalesLaboratory of Seeds, Campus Rio Verde, Goiano Federal Institute of Education, Science and Technology (IFGoiano), P.O. Box 66, Rio Verde 75901-970, Brazil.
Douglas Almeida RodriguesLaboratory of Seeds, Campus Rio Verde, Goiano Federal Institute of Education, Science and Technology (IFGoiano), P.O. Box 66, Rio Verde 75901-970, Brazil.
Sebastião Carvalho Vasconcelos FilhoLaboratory of Plant Anatomy, Campus Rio Verde, Goiano Federal Institute of Education, Science and Technology (IFGoiano), P.O. Box 66, Rio Verde 75901-970, Brazil.
Cássia Lino RodriguesLaboratory of Seeds, Campus Rio Verde, Goiano Federal Institute of Education, Science and Technology (IFGoiano), P.O. Box 66, Rio Verde 75901-970, Brazil.
Dheynne Alves VieiraLaboratory of Seeds, Campus Rio Verde, Goiano Federal Institute of Education, Science and Technology (IFGoiano), P.O. Box 66, Rio Verde 75901-970, Brazil.
Stella Tomaz de CastroLaboratory of Seeds, Campus Rio Verde, Goiano Federal Institute of Education, Science and Technology (IFGoiano), P.O. Box 66, Rio Verde 75901-970, Brazil.
Aurélio Rubio NetoLaboratory of Seeds, Campus Rio Verde, Goiano Federal Institute of Education, Science and Technology (IFGoiano), P.O. Box 66, Rio Verde 75901-970, Brazil.ORCID 0000-0003-0517-1223

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient methodologies for automated seed quality evaluations are important for the seed industry. Advanced seed technology research requires the use of adequate methods to ensure good seed performance under adverse environmental conditions; thus, providing producers with detailed, quick, and accurate information on structural seed integrity and ensuring vigorous production. To address this problem, this study aimed to determine

Indexed as

germinationimage analysisphysical seed qualityvigorX-rays

Identifiers

PMID35448742
PMCPMC9029597

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.