ReviewDatabase : the journal of biological databases and curation2023
Genotype and phenotype data standardization, utilization and integration in the big data era for agricultural sciences.
Review in Database : the journal of biological databases and curation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Research Trends and Emerging Frontiers in Racehorse Genetics: A Bibliometric Analysis.Animals : an open access journal from MDPI · 2026Article
- PlantGATA: a comprehensive database for plant GATA transcription factors.Functional & integrative genomics · 2026Article
- CartograPlant: bridging genomic, phenotypic, and environmental data to advance plant resilience and eco-evolutionary insight.Genetics · 2026Article
- SorghumBase: a knowledgebase for sorghum genomics, phenomics, and stakeholder engagement.Genetics · 2026Article
- Strategic global data integration to improve genomic prediction accuracy in tree breeding programs facing resource limitations, a case study in mango.Horticulture research · 2026Article
- The future is FAIR: a community framework for enhanced data management and data sharing.Database : the journal of biological databases and curation · 2026Article
- Gramene 2025: expanded comparative genomics and pathway resources, integrated search, and pan-genome portals for crop research.Nucleic acids research · 2026Article
- AI-integrated digital breeding for crop improvement.Frontiers in plant science · 2026Review
- Harnessing Multi-Omics and Predictive Modeling for Climate-Resilient Crop Breeding: From Genomes to Fields.Genes · 2025Review
- Improving plant breeding through AI-supported data integration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Article
- AgBioDatabase Finder: an online tool to help researchers find and submit agricultural genomic, genetic, and breeding data.microPublication biology · 2025Article
- The Use of AI for Phenotype-Genotype Mapping.Methods in molecular biology (Clifton, N.J.) · 2025Article
- OrangeExpDB: an integrative gene expression database for Citrus spp.BMC genomics · 2024Article
- The Arabidopsis Information Resource in 2024.Genetics · 2024Article
- Plant Reactome Knowledgebase: empowering plant pathway exploration and OMICS data analysis.Nucleic acids research · 2024Article
- BreedingFrontiers in plant science · 2024Review
- Exploring Pan-Genomes: An Overview of Resources and Tools for Unraveling Structure, Function, and Evolution of Crop Genes and Genomes.Biomolecules · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Large-scale genotype and phenotype data have been increasingly generated to identify genetic markers, understand gene function and evolution and facilitate genomic selection. These datasets hold immense value for both current and future studies, as they are vital for crop breeding, yield improvement and overall agricultural sustainability. However, integrating these datasets from heterogeneous sources presents significant challenges and hinders their effective utilization. We established the Genotype-Phenotype Working Group in November 2021 as a part of the AgBioData Consortium (https://www.agbiodata.org) to review current data types and resources that support archiving, analysis and visualization of genotype and phenotype data to understand the needs and challenges of the plant genomic research community. For 2021-22, we identified different types of datasets and examined metadata annotations related to experimental design/methods/sample collection, etc. Furthermore, we thoroughly reviewed publicly funded repositories for raw and processed data as well as secondary databases and knowledgebases that enable the integration of heterogeneous data in the context of the genome browser, pathway networks and tissue-specific gene expression. Based on our survey, we recommend a need for (i) additional infrastructural support for archiving many new data types, (ii) development of community standards for data annotation and formatting, (iii) resources for biocuration and (iv) analysis and visualization tools to connect genotype data with phenotype data to enhance knowledge synthesis and to foster translational research. Although this paper only covers the data and resources relevant to the plant research community, we expect that similar issues and needs are shared by researchers working on animals. Database URL: https://www.agbiodata.org.
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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.