Evidence map›Paper›PMID 39687309›Full record

ArticleFrontiers in plant science2024

Genetic control of root/shoot biomass partitioning in barley seedlings.

Alejandra Cabeza, Ana M Casas, Beatriz Larruy, María Asunción Costar, Vanesa Martínez, Bruno Contreras-Moreira, Ernesto Igartua

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. CombiningPlants (Basel, Switzerland) · 2025
    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

7 authors.

Alejandra CabezaAula Dei Experimental Station, EEAD, CSIC, Zaragoza, Spain.
Ana M CasasAula Dei Experimental Station, EEAD, CSIC, Zaragoza, Spain.
Beatriz LarruyAula Dei Experimental Station, EEAD, CSIC, Zaragoza, Spain.
María Asunción CostarAula Dei Experimental Station, EEAD, CSIC, Zaragoza, Spain.
Vanesa MartínezAula Dei Experimental Station, EEAD, CSIC, Zaragoza, Spain.
Bruno Contreras-MoreiraAula Dei Experimental Station, EEAD, CSIC, Zaragoza, Spain.
Ernesto IgartuaAula Dei Experimental Station, EEAD, CSIC, Zaragoza, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of allocating resources to different plant organs in the early stage of development can affect their adaptation to drought conditions, by influencing water uptake, transpiration, photosynthesis, and carbon storage. Early barley development can affect the response to drought conditions and mitigate yield losses. A distinct behavior of biomass partitioning between two Spanish barley landraces (SBCC073 and SBCC146) was observed in a previous rhizotron experiment. An RIL population of approximately 200 lines, derived from the cross of those lines, was advanced using speed breeding. We devised an experiment to test if seedling biomass partitioning was under genetic control, growing the seedlings in pots filled with silica sand, in a growth chamber under controlled conditions. After 1 week, the shoot and root were separated, oven dried, and weighted. There were genotypic differences for shoot dry weight, root dry weight, and root-to-shoot ratio. The population was genotyped with a commercial 15k SNP chip, and a genetic map was constructed with 1,353 SNP markers. A QTL analysis revealed no QTL for shoot or root dry weight. However, a clear single QTL for biomass partitioning (RatioRS) was found, in the long arm of chromosome 5H. By exploring the high-confidence genes in the region surrounding the QTL peak, five genes with missense mutations between SBCC146 and SBCC073, and differential expression in roots compared to other organs, were identified. We provide evidence of five promising candidate genes with a role in biomass partitioning that deserve further research.

Indexed as

barleybiomass partitioningcarbon allocationplant architectureseedling

Identifiers

PMID39687309
PMCPMC11646724

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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.