Evidence map›Paper›PMID 42249571›Full record

ArticleJournal of experimental botany2026

Integrating molecular and physiological approaches to quantify genetic controls for wheat development and improve phenotyping.

Hamish Brown, John McCallum, Paul Johnston, Meeghan Pither-Joyce, Richard Macknight, Neil Huth, Derrick Moot, Bangyou Zheng, Zhigan Zhao, James Hunt and 1 more

Abstract read
In one paragraph

Article in Journal of experimental botany, 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. 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

11 authors.

Hamish BrownThe New Zealand Institute for Bioeconomy Science, Christchurch 7608, New Zealand.ORCID 0000-0001-7798-8027
John McCallumThe New Zealand Institute for Bioeconomy Science, Christchurch 7608, New Zealand.ORCID 0000-0002-7773-6732
Paul JohnstonThe New Zealand Institute for Bioeconomy Science, Christchurch 7608, New Zealand.ORCID 0000-0003-4182-0817
Meeghan Pither-JoyceThe New Zealand Institute for Bioeconomy Science, Christchurch 7608, New Zealand.ORCID 0000-0002-4454-0514
Richard MacknightDepartment of Biochemistry, University of Otago, Dunedin 9054, New Zealand.ORCID 0000-0002-3300-7124
Neil HuthCSIRO Agriculture and Food, Forest Hill, Queensland 4342, Australia.
Derrick MootFaculty of Agriculture and Life Sciences, Lincoln University, Canterbury 7647, New Zealand.ORCID 0000-0002-5691-4915
Bangyou ZhengCSIRO Agriculture and Food, St Lucia, Queensland 4067, Australia.ORCID 0000-0003-1551-0970
Zhigan ZhaoCSIRO Agriculture and Food, Black Mountain, Australian Capital Territory 2601, Australia.ORCID 0000-0003-1533-7215
James HuntSchool of Agriculture, Food and Ecosystem Sciences, University of Melbourne, Parkville, Victoria 3010, Australia.
Enli WangCSIRO Agriculture and Food, Black Mountain, Australian Capital Territory 2601, Australia.ORCID 0000-0002-6653-5791

Funding

Grains Research and Development Corporation ULA00011New Zealand Institute for Plant and Food Research Capability Fund
6 · The paper itself

Abstract

Disentangling genotype×environment (G×E) controls of flowering time requires phenotypes that link molecular regulation, developmental physiology, and environment. Here, we integrated time-resolved measurements of apical development, final leaf number, and expression of the flowering-time genes VRN1, VRN2, and VRN3 across contrasting temperature and photoperiod regimes in six wheat genotypes spanning a wide range of developmental sensitivities. By combining controlled-environment phenotyping with concurrent gene-expression profiling, we show that environmentally driven variation in final leaf number is coherently explained by shifts in the timing of key apical transitions and associated VRN gene-expression dynamics. These integrated datasets were used to parameterize and interrogate the Cereal Anthesis Molecular Phenology (CAMP) model, enabling direct comparison between observed foliar gene-expression time courses and modelled gene activity. While overall developmental responses were well captured by the model, systematic differences between observed and modelled gene-expression patterns highlight the importance of distinguishing foliar expression from apical regulatory activity, as well as differences in temporal scaling. Building on this framework, we present a phenotyping protocol based on final leaf number responses to defined temperature and photoperiod treatments that delivers unconfounded developmental phenotypes explicitly linked to underlying genetic regulation.

Indexed as

Gene Expression Regulation, PlantPlant ProteinsTriticumFlowersGene Expression ProfilingGenotypePhenotypePhotoperiodPlant LeavesTemperaturePlant ProteinsFinal leaf numberflowering timegene expressionphenologyphotoperiodTriticum aestivumvernalizationVRN genes

Identifiers

PMID42249571
PMCPMC13577759

What Socratic holds

Textmetadata
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.