Evidence map›Paper›PMID 39849843›Full record

ReviewPlant communications2025

Agricultural landscape genomics to increase crop resilience.

Quinn Campbell, James A Bedford, Yue Yu, Anna Halpin-McCormick, Nora Castaneda-Alvarez, Bryan Runck, Jeffrey Neyhart, Patrick Ewing, Daniel Ortiz-Barrientos, Lexuan Gao and 4 more

Abstract readReview
In one paragraph

Review in Plant communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

14 authors.

Quinn CampbellDepartment of Tropical Plant & Soil Sciences, University of Hawaii at Manoa, Honolulu, HI, USA.
James A BedfordBiological Sciences, University of Southampton, Southampton SO17 1BJ, UK.
Yue YuDepartment of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada.
Anna Halpin-McCormickDepartment of Tropical Plant & Soil Sciences, University of Hawaii at Manoa, Honolulu, HI, USA.
Nora Castaneda-AlvarezGlobal Crop Diversity Trust, Bonn, Germany.
Bryan RunckDepartment of Tropical Plant & Soil Sciences, University of Hawaii at Manoa, Honolulu, HI, USA.
Jeffrey NeyhartUSDA-ARS, Brisbane, QLD, Australia.
Patrick EwingUSDA-ARS, Brisbane, QLD, Australia.
Daniel Ortiz-BarrientosSchool of the Environment and Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture, The University of Queensland, Brisbane, QLD, Australia.
Lexuan GaoCAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, China.
Diane WangDepartment of Agronomy, Purdue University, West Lafayette, IN, USA.
Mark A ChapmanBiological Sciences, University of Southampton, Southampton SO17 1BJ, UK.
Loren H RiesebergDepartment of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada.
Michael B KantarDepartment of Tropical Plant & Soil Sciences, University of Hawaii at Manoa, Honolulu, HI, USA. Electronic address: mbkantar@hawaii.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Populations are continually adapting to their environment. Knowledge of which populations and individuals harbor unique and agriculturally useful variations has the potential to accelerate crop adaptation to the increasingly challenging environments predicted for the coming century. Landscape genomics, which identifies associations between environmental and genomic variation, provides a means for obtaining this knowledge. However, despite extensive efforts to assemble and characterize ex situ collections of crops and their wild relatives, gaps remain in the genomic and environmental datasets needed to robustly implement this approach. This article outlines the history of landscape genomics, which, to date, has mainly been used in conservation and evolutionary studies, provides an overview of crops and wild relative collections that have the necessary data for implementation and identifies areas where new data generation is needed. We find that 60% of the crops covered by the International Treaty on Plant Genetic Resources for Food and Agriculture lack the data necessary to conduct this kind of analysis, necessitating identification of crops in need of more collections, sequencing, or phenotyping. By highlighting these aspects, we aim to help develop agricultural landscape genomics as a sub-discipline that brings together evolutionary genetics, landscape ecology, and plant breeding, ultimately enhancing the development of resilient and adaptable crops for future environmental challenges.

Indexed as

AgricultureCrops, AgriculturalGenome, PlantGenomicsPlant BreedingCrop wild relativesgenome–environment associationlocal adaptationplant breeding

Identifiers

PMID39849843
PMCPMC11897451

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.