ReviewPlant communications2025
Agricultural landscape genomics to increase crop resilience.
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.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed.
- The MexMAGIC population reveals the genetic architecture of traits exhibiting clinal variation in Mexican native maize.The New phytologist · 2026Article
- Genomic forecasting for climate-resilient fruit trees.The New phytologist · 2026Review
- Environmental Association Analyses in Plants and the Influence of Methodological Decisions.Molecular ecology · 2026Review
- Local adaptation sustains genetic differentiation between two varieties of Chinese walnut (Plant diversity · 2026Article
- Landscape Genomic Tools Can Inform Future Rootstock and Farmland Selection for an Agricultural Tree Nut From Its Wild Relatives.Molecular ecology · 2026Article
- Identification of Genetic Variation Associated With Heat Tolerance in Cowpea (Vigna unguiculata L. Walp.).Molecular ecology · 2026Article
- Population Genomic Structure of Sorghum Landraces Across Landscape, Environment and Culture.Molecular ecology · 2026Article
- Population genomic structure of sorghum landraces across landscape, environment and culture.bioRxiv : the preprint server for biology · 2025Article
- Drought Tolerance Evaluation and Classification of Foxtail Millet Core Germplasms Using Comprehensive Tolerance Indices.Life (Basel, Switzerland) · 2025Article
- Effects of using deep learning to predict the geographic origin of barley genebank accessions on genome-environment association studies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Editorial: Genomics-driven advances in crop productivity and stress resilience.Frontiers in plant science · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.