Evidence map›Paper›PMID 30604470›Full record

ArticleThe Plant journal : for cell and molecular biology2019

High-throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare).

Ben Ward, Chris Brien, Helena Oakey, Allison Pearson, Sónia Negrão, Rhiannon K Schilling, Julian Taylor, David Jarvis, Andy Timmins, Stuart J Roy and 3 more

Abstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

13 authors.

Ben WardAustralian Center for Visual Technologies, University of Adelaide, Adelaide, SA, 5005, Australia.ORCID 0000-0003-0226-4600
Chris BrienAustralian Plant Phenomics Facility, The Plant Accelerator®, School of Agriculture Food & Wine, University of Adelaide, Urrbrae, SA, 5064, Australia.ORCID 0000-0003-0581-1817
Helena OakeySchool of Agriculture Food & Wine and Waite Research Institute, University of Adelaide, Urrbrae, SA, 5064, Australia.ORCID 0000-0003-1057-7615
Allison PearsonSchool of Agriculture Food & Wine and Waite Research Institute, University of Adelaide, Urrbrae, SA, 5064, Australia.ORCID 0000-0001-8231-0149
Sónia NegrãoDivision of Biological and Environmental Sciences and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.ORCID 0000-0001-8059-5240
Rhiannon K SchillingSchool of Agriculture Food & Wine and Waite Research Institute, University of Adelaide, Urrbrae, SA, 5064, Australia.ORCID 0000-0001-8853-6878
Julian TaylorSchool of Agriculture Food & Wine and Waite Research Institute, University of Adelaide, Urrbrae, SA, 5064, Australia.ORCID 0000-0002-9145-052X
David JarvisDivision of Biological and Environmental Sciences and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
Andy TimminsSchool of Agriculture Food & Wine and Waite Research Institute, University of Adelaide, Urrbrae, SA, 5064, Australia.ORCID 0000-0001-5266-056X
Stuart J RoySchool of Agriculture Food & Wine and Waite Research Institute, University of Adelaide, Urrbrae, SA, 5064, Australia.ORCID 0000-0003-0411-9431
Mark TesterDivision of Biological and Environmental Sciences and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.ORCID 0000-0002-5085-8801
Bettina BergerAustralian Plant Phenomics Facility, The Plant Accelerator®, School of Agriculture Food & Wine, University of Adelaide, Urrbrae, SA, 5064, Australia.ORCID 0000-0003-1195-4478
Anton van den HengelAustralian Center for Visual Technologies, University of Adelaide, Adelaide, SA, 5005, Australia.ORCID 0000-0003-3027-8364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To optimize shoot growth and structure of cereals, we need to understand the genetic components controlling initiation and elongation. While measuring total shoot growth at high throughput using 2D imaging has progressed, recovering the 3D shoot structure of small grain cereals at a large scale is still challenging. Here, we present a method for measuring defined individual leaves of cereals, such as wheat and barley, using few images. Plant shoot modelling over time was used to measure the initiation and elongation of leaves in a bi-parental barley mapping population under low and high soil salinity. We detected quantitative trait loci (QTL) related to shoot growth per se, using both simple 2D total shoot measurements and our approach of measuring individual leaves. In addition, we detected QTL specific to leaf elongation and not to total shoot size. Of particular importance was the detection of a QTL on chromosome 3H specific to the early responses of leaf elongation to salt stress, a locus that could not be detected without the computer vision tools developed in this study.

Indexed as

HordeumPlant LeavesQuantitative Trait LociTriticum3D modellingcerealsleaf elongationphenotypingquantitative trait locus (QTL)salinityshoot architecturetechnical advance

Identifiers

PMID30604470
PMCPMC6850118

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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.