Evidence map›Paper›PMID 40776464›Full record

ArticleThe plant genome2025

Haplotype-based insights into seminal root angle in barley.

Zachary Aldiss, Yasmine Lam, Silvina Baraibar, Sarah Van Der Meer, Eric Dinglasan, Karen Massel, Peter Crisp, Ian Godwin, Andrew Borrell, David Moody and 2 more

Abstract read
In one paragraph

Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

12 authors.

Zachary AldissQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0003-2468-1050
Yasmine LamQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-6522-1953
Silvina BaraibarInterGrain Pty Ltd., Perth, Western Australia, Australia.
Sarah Van Der MeerQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia.
Eric DinglasanQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-4824-5977
Karen MasselQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-9948-2438
Peter CrispSchool of Agriculture and Food Sustainability, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-3655-0130
Ian GodwinQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-4006-4426
Andrew BorrellQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Warwick, Queensland, Australia.ORCID https://orcid.org/0000-0002-6356-6533
David MoodyInterGrain Pty Ltd., Perth, Western Australia, Australia.
Lee HickeyQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-6909-7101
Hannah RobinsonQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-8303-8076

Funding

Australian Research Council Industry Linkage Project Digging Deeper to Improve Yield Stability' LP200200927InterGrain Pty. Ltd.
6 · The paper itself

Abstract

Root system architecture (RSA) plays a crucial role in crop adaptation and yield stability, especially in the context of climate change and variable growing conditions. Despite this, the genetic basis of RSA remains poorly understood in barley (Hordeum vulgare L.), necessitating the need for more research to better characterize this architecture and explore the potential of diverse germplasm for trait improvement. In this study, we aimed to dissect the genetic basis of seminal root angle (SRA) by examining natural variation within a diverse global collection of 816 barley accessions, including both landraces and modern cultivars. Using a haplotype-based mapping approach, which reflects the recombination patterns considered in breeding programs, we identified chromosomal regions associated with SRA variation. Notably, two major genomic regions on chromosome 5H were identified as novel, while a previously reported region, RAQ1, was confirmed on chromosome 3H. Our analysis revealed significant genetic diversity for SRA within the global collection, with accessions from distinct geographic origins exhibiting unique haplotype combinations. This finding underscores the quantitative nature of the SRA trait and suggests the likelihood of inadvertent selection through polygenic traits related to canopy or yield in commercial breeding programs. To further explore the genetic potential of SRA, we employed a simulation approach to evaluate the feasibility of creating an "ultimate genotype" for narrow SRA. Our results highlight the challenges associated with significantly altering SRA through traditional breeding approaches due to its quantitative, polygenic nature. Consequently, we recommend the integration of predictive and precision breeding techniques, such as genomic selection and gene editing, to effectively capture genetic diversity and accelerate RSA improvement in barley.

Indexed as

HaplotypesHordeumPlant RootsChromosome MappingChromosomes, PlantGenetic VariationGenome, PlantPlant BreedingQuantitative Trait Loci

Identifiers

PMID40776464
PMCPMC12332326

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.