Evidence map›Paper›PMID 30598691›Full record

ArticlePlant methods2018

A machine vision platform for measuring imbibition of maize kernels: quantification of genetic effects and correlations with germination.

Nathan D Miller, Scott C Stelpflug, Shawn M Kaeppler, Edgar P Spalding

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
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

4 authors at 1 institution in 1 country.

Nathan D Miller1Department of Botany, University of Wisconsin, 430 Lincoln Drive, Madison, WI 53706 USA.
Scott C Stelpflug2Department of Agronomy, University of Wisconsin, 1575 Linden Drive, Madison, WI 53706 USA.
Shawn M Kaeppler2Department of Agronomy, University of Wisconsin, 1575 Linden Drive, Madison, WI 53706 USA.
Edgar P Spalding1Department of Botany, University of Wisconsin, 430 Lincoln Drive, Madison, WI 53706 USA.ORCID 0000-0002-6890-4765
University of Wisconsin System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImbibition (uptake of water by a dry seed) initiates the germination process. An automated method for quantifying imbibition would enable research on the genetic elements that influence the underlying hydraulic and biochemical processes. In the case of crop research, a high throughput imbibition assay could be used to investigate seed quality topics or to improve yield by selecting varieties with superior germination characteristics.

resultsAn electronic force transducer measured imbibition of single maize kernels with very high resolution but low throughput. An image analysis method was devised to achieve high throughput and sufficient resolution. A transparent fixture held 90 maize kernels in contact with water on the imaging window of a flatbed document scanner that produced an image of the kernels automatically every 10 min for 22 h. Custom image analysis software measured the area

conclusionsNonspecialized imaging hardware and custom analysis software running on public cyber infrastructure form a low-cost platform for measuring seed imbibition with high resolution and throughput. We measured imbibition of thousands of kernels to determine that genotype influenced imbibition of maize kernels much more than seed production and storage environments. In some hybrids,

Indexed as

GerminationHigh-throughput phenotypingImage analysisImbibitionMachine visionZea mays

Identifiers

PMID30598691
PMCPMC6302439
OpenAlexW2906405963

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.