Evidence map›Paper›PMID 41704053›Full record

ArticleThe New phytologist2026

Scaling law links plant growth variation to grain yield in wheat stands.

Guy Golan, François Vasseur, Yongyu Huang, Kenan Tan, Victor O Sadras, Cyrille Violle, Thorsten Schnurbusch

Abstract read
In one paragraph

Article in The New phytologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Guy GolanLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466, Seeland, Germany.ORCID https://orcid.org/0000-0002-5255-393X
François VasseurCEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, 34090, France.ORCID https://orcid.org/0000-0002-0575-6216
Yongyu HuangLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466, Seeland, Germany.ORCID https://orcid.org/0000-0002-7476-1350
Kenan TanLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466, Seeland, Germany.ORCID https://orcid.org/0009-0006-4965-2773
Victor O SadrasSouth Australian Research and Development Institute, Kaurna Country, Adelaide, SA, 5001, Australia.ORCID https://orcid.org/0000-0002-5874-6775
Cyrille ViolleCEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, 34090, France.ORCID https://orcid.org/0000-0002-2471-9226
Thorsten SchnurbuschLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466, Seeland, Germany.ORCID https://orcid.org/0000-0002-5267-0677

Funding

Chinese Scholarship CouncilDeutsche Forschungsgemeinschaft SCHN768/20-1IPK Core Budget
6 · The paper itself

Abstract

Growth rate, a fundamental trait associated with plant resource use, scales with plant mass, following consistent allometric power laws shaped by biophysical constraints and natural selection captured in metabolic scaling theory (MST). Although well-established in wild plants, MST has been overlooked in crop improvement. We quantified the relationship between individual plant mass and growth rate in 195 European winter wheat cultivars under glasshouse conditions and examined how variation in growth allometry relates to stand-level grain yield across eight field environments and to its underlying genetic, developmental, and physiological mechanisms. Variation in allometry was linked to plant size, in which increased leaf allocation and faster development elevated allometric exponents. Phenotypic and genetic analyses revealed adaptive strategies, ranging from large, slow-developing genotypes that support reproductive initiation to small, fast-developing genotypes that enhance floret survival and reproductive effort. A shared genetic basis associated with Photoperiod-1 linked growth allometry in the glasshouse to genotype-by-environment interactions for grain yield in the field. Our findings demonstrate that growth allometry is biologically robust and agronomically relevant. While phenology is associated with adaptive variation in allometry, the allometric framework integrates developmental and physiological processes that jointly shape cultivar performance across environments, providing a basis for environment-specific crop improvement.

Indexed as

Edible GrainModels, BiologicalSeedsTriticumGenetic VariationGenotypePhenotypePhotoperiodPlant LeavesallometryG×Egrowth ratemetabolic scalingwheat

Identifiers

PMID41704053
PMCPMC13103433

What Socratic 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 Socratic graph.