Evidence map›Paper›PMID 25901177›Full record

ArticlePlant methods2015

Image analysis of anatomical traits in stalk transections of maize and other grasses.

Sven Heckwolf, Marlies Heckwolf, Shawn M Kaeppler, Natalia de Leon, Edgar P Spalding

Abstract read
In one paragraph

Article in Plant methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  15. Crop Phenomics: Current Status and Perspectives.Frontiers in plant science · 2019
    Review
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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

5 authors.

Sven HeckwolfDepartment of Botany, University of Wisconsin-Madison, 430 Lincoln Drive, Madison, WI 53706 USA.
Marlies HeckwolfDepartment of Agronomy, University of Wisconsin-Madison, 1575 Linden Drive, Madison, WI 53706 USA ; DOE Great Lakes Bioenergy Research Center, 1552 University Avenue, Madison, WI 53706 USA.
Shawn M KaepplerDepartment of Agronomy, University of Wisconsin-Madison, 1575 Linden Drive, Madison, WI 53706 USA ; DOE Great Lakes Bioenergy Research Center, 1552 University Avenue, Madison, WI 53706 USA.
Natalia de LeonDepartment of Agronomy, University of Wisconsin-Madison, 1575 Linden Drive, Madison, WI 53706 USA ; DOE Great Lakes Bioenergy Research Center, 1552 University Avenue, Madison, WI 53706 USA.
Edgar P SpaldingDepartment of Botany, University of Wisconsin-Madison, 430 Lincoln Drive, Madison, WI 53706 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGrass stalks architecturally support leaves and reproductive structures, functionally support the transport of water and nutrients, and are harvested for multiple agricultural uses. Research on these basic and applied aspects of grass stalks would benefit from improved capabilities for measuring internal anatomical features. In particular, methods suitable for phenotyping populations of plants are needed.

resultsTo meet the need for large-scale measurements of stalk anatomy features, we developed custom image processing software that utilized a variety of global thresholding, local filtering, and feature detection methods to measure rind thickness, pith area, vascular bundle counts, and individual vascular bundle size from digital images of hand-cut transections of stalks collected with a flatbed document scanner. The tool determined vascular bundle number with an average accuracy of 90% across maize genotypes that varied five-fold for this trait. The method is demonstrated on maize, sorghum, and Miscanthus stalks. The computer source code is staged for download.

conclusionsSimplicity of sample preparation and semi-automated analyses enabled by this tool greatly increase measurement throughput relative to standard microscopy-based techniques while maintaining high accuracy. The tool is expected to be useful in genetic and physiological studies of the relationships between stalk anatomy and traits such as biofuel suitability, water use efficiency, or nutrient transport.

Identifiers

PMID25901177
PMCPMC4404653

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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.