Evidence map›Paper›PMID 27853580›Full record

ArticleRoyal Society open science2016

MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network.

Sebastian Kuhlgert, Greg Austic, Robert Zegarac, Isaac Osei-Bonsu, Donghee Hoh, Martin I Chilvers, Mitchell G Roth, Kevin Bi, Dan TerAvest, Prabode Weebadde and 1 more

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

157 citing papers in PubMed, 417 citations in OpenAlex.

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  9. Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
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97 more citing papers are in PubMed but not listed here.

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

11 authors at 1 institution in 1 country.

Sebastian KuhlgertMSU-DOE-Plant Research Laboratory , Michigan State University , East Lansing, MI , USA.ORCID 0000-0002-0108-6921
Greg AusticMSU-DOE-Plant Research Laboratory , Michigan State University , East Lansing, MI , USA.
Robert ZegaracMSU-DOE-Plant Research Laboratory , Michigan State University , East Lansing, MI , USA.
Isaac Osei-BonsuMSU-DOE-Plant Research Laboratory , Michigan State University , East Lansing, MI , USA.
Donghee HohMSU-DOE-Plant Research Laboratory , Michigan State University , East Lansing, MI , USA.
Martin I ChilversDepartment of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA; Genetics Graduate Program, Michigan State University, East Lansing, MI, USA.
Mitchell G RothDepartment of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA; Genetics Graduate Program, Michigan State University, East Lansing, MI, USA.
Kevin BiMSU-DOE-Plant Research Laboratory , Michigan State University , East Lansing, MI , USA.
Dan TerAvestMSU-DOE-Plant Research Laboratory , Michigan State University , East Lansing, MI , USA.
Prabode WeebaddeVenturit Inc. , East Lansing, MI , USA.
David M KramerMSU-DOE-Plant Research Laboratory , Michigan State University , East Lansing, MI , USA.
Michigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale high-throughput plant phenotyping (sometimes called phenomics) is becoming increasingly important in plant biology and agriculture and is essential to cutting-edge plant breeding and management approaches needed to meet the food and fuel needs for the next century. Currently, the application of these approaches is severely limited by the availability of appropriate instrumentation and by the ability to communicate experimental protocols, results and analyses. To address these issues, we have developed a low-cost, yet sophisticated open-source scientific instrument designed to enable communities of researchers, plant breeders, educators, farmers and citizen scientists to collect high-quality field data on a large scale. The MultispeQ provides measurements in the field or laboratory of both, environmental conditions (light intensity and quality, temperature, humidity, CO

Indexed as

agriculturechlorophyll fluorescenceopen-source hardwarephenomicsphotosynthesis

Identifiers

PMID27853580
PMCPMC5099005
OpenAlexW2544189921

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.