Evidence map›Paper›PMID 39722593›Full record

ReviewThe New phytologist2025

Historic rewiring of grass flowering time pathways and implications for crop improvement under climate change.

Brittany Verrico, Jill C Preston

Abstract readReview
In one paragraph

Review in The New phytologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Yield-graph: multi-stage growth-aware maize yield prediction via graph neural networks.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Article
  3. Review
  4. A key gene for vernalization-independent bolting under extra-long days in biennial sugar beet.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  5. Review
  6. Review
  7. 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

2 authors.

Brittany Verrico *Department of Plant Biology, University of Vermont, 63 Carrigan Drive, Burlington, VT, 05405, USA.ORCID 0000-0002-1659-227X
Jill C Preston *Department of Plant Biology, University of Vermont, 63 Carrigan Drive, Burlington, VT, 05405, USA.ORCID 0000-0002-9211-5061

Funding

Division of Integrative Organismal Systems IOS-2120732
6 · The paper itself

Abstract

Grasses are fundamental to human survival, providing a large percentage of our calories, fuel, and fodder for livestock, and an enormous global carbon sink. A particularly important part of the grass plant is the grain-producing inflorescence that develops in response to both internal and external signals that converge at the shoot tip to influence meristem behavior. Abiotic signals that trigger reproductive development vary across the grass family, mostly due to the unique ecological and phylogenetic histories of each clade. The time it takes a grass to flower has implications for its ability to escape harsh environments, while also indirectly affecting abiotic stress tolerance, inflorescence architecture, and grain yield. Here, we synthesize recent insights into the evolution of grass flowering time in response to past climate change, particularly focusing on genetic convergence in underlying traits. We then discuss how and why the rewiring of a shared ancestral flowering pathway affects grass yields, and outline ways in which researchers are using this and other information to breed higher yielding, climate-proof cereal crops.

Indexed as

Climate ChangeCrops, AgriculturalFlowersPoaceaeTime Factorsambient temperature pathwaycereal cropsgenomic offset modelinginflorescence architecturephotoperiod pathwaytrade‐offsvernalizationyield

Identifiers

PMID39722593
PMCPMC11798905

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.