Evidence map›Paper›PMID 41573528›Full record

ReviewQuantitative plant biology2026

Beyond efficiency: The multi-scale architecture of robust water transport in plants.

Magdalena Julkowska, Guillaume Lobet, Arjun Chandrasekhar

Abstract readReview
In one paragraph

Review in Quantitative plant biology, 2026. 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

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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Magdalena JulkowskaBoyce Thompson Institute for Plant Research, USA.ORCID https://orcid.org/0000-0002-4259-8296
Guillaume LobetUCLouvain, Belgium.
Arjun ChandrasekharDepartment of Math and Computer Science, Southwestern University, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agronomic research has long prioritized efficiency - optimizing resource use to maximize yield under stable conditions. However, as climate variability intensifies, efficiency alone might be insufficient to sustain agricultural production in the future. Instead, robustness - the ability to maintain function across diverse and unpredictable environments - emerges as a critical trait. Robustness is not a simple metric but an emergent property, arising from the interplay of redundancy, heterogeneity and plasticity across biological scales. We examine how the components of robustness (redundance, heterogeneity and plasticity) express themselves at the anatomical, architectural and genomic scale. A major challenge is the lack of a unified framework to measure robustness. We propose integrating empirical metrics - such as vessel grouping indices, root trait heterogeneity and gene expression plasticity - with computational models to quantify redundancy, heterogeneity and plasticity. By synthesizing insights from physiology, genomics and modelling, we outline a path towards designing crops that thrive in ideal settings and under environmental uncertainty.

Indexed as

drought stressroot anatomyroot system architecturesalt stress

Identifiers

PMID41573528
PMCPMC12823208

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.