Evidence map›Paper›PMID 26884806›Full record

ArticlePlant methods2016

Phenomics for photosynthesis, growth and reflectance in Arabidopsis thaliana reveals circadian and long-term fluctuations in heritability.

Pádraic J Flood, Willem Kruijer, Sabine K Schnabel, Rob van der Schoor, Henk Jalink, Jan F H Snel, Jeremy Harbinson, Mark G M Aarts

Abstract read
In one paragraph

Article in Plant methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

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  7. Species-wide inventory ofProceedings of the National Academy of Sciences of the United States of America · 2024
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  14. A High-Throughput Approach for Photosynthesis Studies in a Brassicaceae Panel.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
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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

8 authors.

Pádraic J FloodLaboratory of Genetics, Wageningen University, Wageningen, The Netherlands ; Horticulture and Production Physiology, Wageningen University, Wageningen, The Netherlands ; Department of Plant Breeding and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
Willem KruijerBiometris, Wageningen University and Research Centre, Wageningen, The Netherlands.
Sabine K SchnabelBiometris, Wageningen University and Research Centre, Wageningen, The Netherlands.
Rob van der SchoorGreenhouse Horticulture, Wageningen University and Research Centre, Wageningen, The Netherlands ; PhenoVation BV, Wageningen, The Netherlands.
Henk JalinkGreenhouse Horticulture, Wageningen University and Research Centre, Wageningen, The Netherlands ; PhenoVation BV, Wageningen, The Netherlands.
Jan F H SnelGreenhouse Horticulture, Wageningen University and Research Centre, Wageningen, The Netherlands ; Adviesbureau JFH Snel, Wageningen, The Netherlands.
Jeremy HarbinsonHorticulture and Production Physiology, Wageningen University, Wageningen, The Netherlands.
Mark G M AartsLaboratory of Genetics, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0001-5257-0740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advances in genome sequencing technologies have shifted the research bottleneck in plant sciences from genotyping to phenotyping. This shift has driven the development of phenomics, high-throughput non-invasive phenotyping technologies.

resultsWe describe an automated high-throughput phenotyping platform, the Phenovator, capable of screening 1440 Arabidopsis plants multiple times per day for photosynthesis, growth and spectral reflectance at eight wavelengths. Using this unprecedented phenotyping capacity, we have been able to detect significant genetic differences between Arabidopsis accessions for all traits measured, across both temporal and environmental scales. The high frequency of measurement allowed us to observe that heritability was not only trait specific, but for some traits was also time specific.

conclusionsSuch continuous real-time non-destructive phenotyping will allow detailed genetic and physiological investigations of the kinetics of plant homeostasis and development. The success and ultimate outcome of a breeding program will depend greatly on the genetic variance which is sampled. Our observation of temporal fluctuations in trait heritability shows that the moment of measurement can have lasting consequences. Ultimately such phenomic level technologies will provide more dynamic insights into plant physiology, and the necessary data for the omics revolution to reach its full potential.

Indexed as

Arabidopsis thalianaChlorophyll fluorescenceHeritabilityHigh throughput screeningNatural variationPhenomicsPhotosynthesis

Identifiers

PMID26884806
PMCPMC4754911

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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.