Evidence map›Paper›PMID 35346269›Full record

ArticlePlant methods2022

Installation and imaging of thousands of minirhizotrons to phenotype root systems of field-grown plants.

Ashish B Rajurkar, Scott M McCoy, Jeremy Ruhter, Jessica Mulcrone, Luke Freyfogle, Andrew D B Leakey

Abstract read
In one paragraph

Article in Plant methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

6 authors.

Ashish B RajurkarInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Scott M McCoyInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Jeremy RuhterInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Jessica MulcroneInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Luke FreyfogleDepartment of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Andrew D B LeakeyInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA. leakey@illinois.edu.

Funding

Advanced Research Projects Agency DE-DE-AR0000661Division of Integrative Organismal Systems 1638507
6 · The paper itself

Abstract

backgroundRoots are vital to plant performance because they acquire resources from the soil and provide anchorage. However, it remains difficult to assess root system size and distribution because roots are inaccessible in the soil. Existing methods to phenotype entire root systems range from slow, often destructive, methods applied to relatively small numbers of plants in the field to rapid methods that can be applied to large numbers of plants in controlled environment conditions. Much has been learned recently by extensive sampling of the root crown portion of field-grown plants. But, information on large-scale genetic and environmental variation in the size and distribution of root systems in the field remains a key knowledge gap. Minirhizotrons are the only established, non-destructive technology that can address this need in a standard field trial. Prior experiments have used only modest numbers of minirhizotrons, which has limited testing to small numbers of genotypes or environmental conditions. This study addressed the need for methods to install and collect images from thousands of minirhizotrons and thereby help break the phenotyping bottleneck in the field.

resultsOver three growing seasons, methods were developed and refined to install and collect images from up to 3038 minirhizotrons per experiment. Modifications were made to four tractors and hydraulic soil corers mounted to them. High quality installation was achieved at an average rate of up to 84.4 minirhizotron tubes per tractor per day. A set of four commercially available minirhizotron camera systems were each transported by wheelbarrow to allow collection of images of mature maize root systems at an average rate of up to 65.3 tubes per day per camera. This resulted in over 300,000 images being collected in as little as 11 days for a single experiment.

conclusionThe scale of minirhizotron installation was increased by two orders of magnitude by simultaneously using four tractor-mounted, hydraulic soil corers with modifications to ensure high quality, rapid operation. Image collection can be achieved at the corresponding scale using commercially available minirhizotron camera systems. Along with recent advances in image analysis, these advances will allow use of minirhizotrons at unprecedented scale to address key knowledge gaps regarding genetic and environmental effects on root system size and distribution in the field.

Indexed as

FieldHigh Throughput phenotypingMinirhizotronPhenotypingRoot

Identifiers

PMID35346269
PMCPMC8958774

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.