Evidence map›Paper›PMID 36604751›Full record

ArticlePlant methods2023

Spatial and Texture Analysis of Root System distribution with Earth mover's Distance (STARSEED).

Joshua Peeples, Weihuang Xu, Romain Gloaguen, Diane Rowland, Alina Zare, Zachary Brym

Abstract read
In one paragraph

Article in Plant methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Fast and Efficient Root Phenotyping via Pose Estimation.Plant phenomics (Washington, D.C.) · 2024
    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.

Joshua PeeplesDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, 77845, USA. jpeeples@tamu.edu.
Weihuang XuDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, 32611, USA.
Romain GloaguenInTerACT Research Unit, UniLaSalle Bauvais, Bauvais, France.
Diane RowlandCollege of Natural Sciences, Forestry, and Agriculture, University of Maine, Orono, 04469, USA.
Alina ZareDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, 32611, USA.
Zachary BrymTropical Research and Education Center, University of Florida, Gainesville, 33031, USA.

Funding

National Science Foundation Graduate Research Fellowship DGE-1842473
6 · The paper itself

Abstract

purposeRoot system architectures are complex and challenging to characterize effectively for agronomic and ecological discovery.

methodsWe propose a new method, Spatial and Texture Analysis of Root SystEm distribution with Earth mover's Distance (STARSEED), for comparing root system distributions that incorporates spatial information through a novel application of the Earth Mover's Distance (EMD).

resultsWe illustrate that the approach captures the response of sesame root systems for different genotypes and soil moisture levels. STARSEED provides quantitative and visual insights into changes that occur in root architectures across experimental treatments.

conclusionSTARSEED can be generalized to other plants and provides insight into root system architecture development and response to varying growth conditions not captured by existing root architecture metrics and models. The code and data for our experiments are publicly available: https://github.com/GatorSense/STARSEED .

Indexed as

Artificial IntelligenceEarth Mover’s DistanceImage analysisRoot architectureSesamum indicum

Identifiers

PMID36604751
PMCPMC9814335

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.