ArticleGenetics2026
CartograPlant: bridging genomic, phenotypic, and environmental data to advance plant resilience and eco-evolutionary insight.
Article in Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Adoption of Standard Reference SNP Identifiers in Agricultural Genomics for Interoperability and Data Reuse.Scientific data · 2026Article
- Molecular Passports for Ex Situ Seed Donors: Enhanced Genetic Monitoring for Plant Conservation.Molecular ecology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Climate change is threatening plant health and productivity at all spatial scales, and these impacts are further compounded by the rising incidence of invasive pests and pathogens. Effectively addressing these challenges requires a comprehensive understanding of plant demography as well as the mechanisms and drivers of adaptation. Achieving this understanding requires the integration of physiological, ecological, and genetic datasets. However, such integration is often hindered by disconnected data sources, inconsistent metadata standards, and limited tools to link, analyze, and visualize multi-dimensional datasets in a unified framework. Addressing these hurdles is critical to advancing the understanding of species responses to environmental change and developing informed strategies for conservation, restoration, and adaptive management. CartograPlant (https://cartograplant.org) is a web-based interactive application which facilitates the visualization and analysis of genotypic, phenotypic, and environmental data, as well as associated metadata, from georeferenced individuals. Developed as a Tripal module, CartograPlant addresses a critical gap in biological data integration by enabling users to explore complex eco-evolutionary patterns across space and time. Recent updates have expanded its data sources, improved interoperability, and introduced NextFlow pipelines alongside new tools for the integration and analysis of these data. CartograPlant offers a scaleable, flexible, and continually updated platform for researchers, conservationists, land managers, and plant breeders to better understand and mitigate the impacts of global change on plant biodiversity, accelerate resilience in breeding programs, and inform data-driven decisions in agriculture and ecosystem management.
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What OpenQuestion holds
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.