Evidence map›Paper›PMID 30868647›Full record

ArticleThe Plant journal : for cell and molecular biology2019

μCT trait analysis reveals morphometric differences between domesticated temperate small grain cereals and their wild relatives.

Aoife Hughes, Hugo R Oliveira, Nick Fradgley, Fiona M K Corke, James Cockram, John H Doonan, Candida Nibau

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  8. Deep Segmentation of Point Clouds of Wheat.Frontiers in plant science · 2021
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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

7 authors.

Aoife HughesThe National Plant Phenomics Centre, Institute of Biological, Rural and Environmental Sciences (IBERS), Aberystwyth University, Gogerddan, Aberystwyth, SY23 3EE, UK.ORCID 0000-0002-4572-5828
Hugo R OliveiraSchool of Earth and Environmental Sciences, Manchester Institute of Biotechnology, University of Manchester, Manchester, M1 7DN, UK.
Nick FradgleyJohn Bingham Laboratory, NIAB, Huntingdon Road, Cambridge, CB3 0LE, UK.
Fiona M K CorkeThe National Plant Phenomics Centre, Institute of Biological, Rural and Environmental Sciences (IBERS), Aberystwyth University, Gogerddan, Aberystwyth, SY23 3EE, UK.
James CockramJohn Bingham Laboratory, NIAB, Huntingdon Road, Cambridge, CB3 0LE, UK.
John H DoonanThe National Plant Phenomics Centre, Institute of Biological, Rural and Environmental Sciences (IBERS), Aberystwyth University, Gogerddan, Aberystwyth, SY23 3EE, UK.ORCID 0000-0001-6027-1919
Candida NibauThe National Plant Phenomics Centre, Institute of Biological, Rural and Environmental Sciences (IBERS), Aberystwyth University, Gogerddan, Aberystwyth, SY23 3EE, UK.ORCID 0000-0002-0877-6001

Funding

Biotechnology and Biological Sciences Research Council BB/CAP1730/1Biotechnology and Biological Sciences Research Council BB/J004464/1Biotechnology and Biological Sciences Research Council BB/M011666/1
6 · The paper itself

Abstract

Wheat and barley are two of the founder crops domesticated in the Fertile Crescent, and currently represent crops of major economic importance in temperate regions. Due to impacts on yield, quality and end-use, grain morphometric traits remain an important goal for modern breeding programmes and are believed to have been selected for by human populations. To directly and accurately assess the three-dimensional (3D) characteristics of grains, we combine X-ray microcomputed tomography (μCT) imaging techniques with bespoke image analysis tools and mathematical modelling to investigate how grain size and shape vary across wild and domesticated wheat and barley. We find that grain depth and, to a lesser extent, width are major drivers of shape change and that these traits are still relatively plastic in modern bread wheat varieties. Significant changes in grain depth are also observed to be associated with differences in ploidy. Finally, we present a model that can accurately predict the wild or domesticated status of a grain from a given taxa based on the relationship between three morphometric parameters (length, width and depth) and suggest its general applicability to both archaeological identification studies and breeding programmes.

Indexed as

Crops, AgriculturalDomesticationEdible GrainHordeumPloidiesPrincipal Component AnalysisTriticumX-Ray Microtomographybarleydomesticationgrain traitsphenomicswheatX-ray microcomputed tomographyμCT

Identifiers

PMID30868647
PMCPMC6618119

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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.