BrAPI v2: real-world applications for data integration and collaboration in the breeding and genetics community

Population growth and the impacts of climate change are placing increasing pressure on global agriculture and breeding programmes. Recent advancements in phenotyping techniques, genotyping technologies, and predictive modelling are accelerating genetic gains in breeding programmes, helping researchers and breeders develop improved crops more efficiently. However, these advancements have also led to an overwhelming torrent of fragmented data, creating significant challenges in data integration and management. To address this issue, the Breeding Application Programming Interface (BrAPI) project was established as a standardized data model for breeding data. BrAPI is an international, community-driven effort that facilitates interoperability among databases and tools, improving the sharing and interpretation of breeding-related data. This open-source standard is software-agnostic and can be used by anyone interested in breeding, phenotyping, germplasm, genotyping, and agronomy data management. This manuscript provides an overview of the BrAPI project, highlighting the significant progress made in the development of the data standard and the expansion of its community. It also presents a showcase of the wide variety of BrAPI-compatible tools that have been built to enhance breeding and research activities, demonstrating how the project is advancing agricultural innovation and data management practices.

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Published
2025-01-01
DOI
https://doi.org/10.1093/database/baaf048
Citations
1
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
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article
Field-Weighted Citation Impact
1.82

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article

BrAPI v2: real-world applications for data integration and collaboration in the breeding and genetics community

Clarysabel Tovar, Guilhem Sempéré, Sook Jung, Amanda M. Hulse‐Kemp et al.
1 citations
Database
Genetic Mapping and Diversity in Plants and Animals
1.82
article

BrAPI v2: real-world applications for data integration and collaboration in the breeding and genetics community

Clarysabel Tovar, Guilhem Sempéré, Sook Jung, Amanda M. Hulse‐Kemp, Erwan Le Floch, B. Madriz, Nahuel Soldevilla, László Láng, Sebastian Beier, Lukas A. Mueller, Shawn C. Yarnes, Francisco J. Martínez‐López, Iain Milne, Manuel Feser, Paul D. Shaw, Rajesh Shah, Bert Droesbeke, Chaney Courtney, Sebastian Raubach, Puthick Hok, Patrick König, Célia Michotey, Mathieu Rouard, Stéphan Weise, Anne‐Françoise Adam‐Blondon, Grzegorz Uszyński, Lynn Johnson, Valentin Guignon, Dorrie Main, Cyril Pommier, Khaled Al-Shamaa, Arnaud Charleroy, Keo Corak, Massimo Crimi, Michaël Alaux, Marie‐Angélique Laporte, Stijn Dhondt, John K. Ruff, Trevor W. Rife, Taein Lee, Francisco Agosto-Perez, Terry Casstevens, Jean‐François Rami, Matthijs Brouwer, Paul Kersey, Jenna Hershberger, Asis Hallab, Andrzej Kilian, Zachary Miller, Kelly R. Robbins, Rafael Abbeloos, Kauê de Sousa, Isabelle Alic, Johan Steven Aparicio, Matthias Lange, Mirella Flores-Gonzalez, Alice Boizet, Peter Selby, Maria Marsella, Becky Smith, Jeremy Destin, Maud Marty, Jan Erik Backlund, Anne Tireau, P.J. Neveu, Suman Kumar, Nick Palladino, Timothy E Parsons, Ajay Dhungana, Aldrin Batac, Gabriel Besombes, Gouripriya Davuluri, Corina Habito, Josh Lamos-Sweeney, Moses Nderitu, Vivian Bass Vega
article en
1 citations

Abstract

Population growth and the impacts of climate change are placing increasing pressure on global agriculture and breeding programmes. Recent advancements in phenotyping techniques, genotyping technologies, and predictive modelling are accelerating genetic gains in breeding programmes, helping researchers and breeders develop improved crops more efficiently. However, these advancements have also led to an overwhelming torrent of fragmented data, creating significant challenges in data integration and management. To address this issue, the Breeding Application Programming Interface (BrAPI) project was established as a standardized data model for breeding data. BrAPI is an international, community-driven effort that facilitates interoperability among databases and tools, improving the sharing and interpretation of breeding-related data. This open-source standard is software-agnostic and can be used by anyone interested in breeding, phenotyping, germplasm, genotyping, and agronomy data management. This manuscript provides an overview of the BrAPI project, highlighting the significant progress made in the development of the data standard and the expansion of its community. It also presents a showcase of the wide variety of BrAPI-compatible tools that have been built to enhance breeding and research activities, demonstrating how the project is advancing agricultural innovation and data management practices.

DatabaseVol. 2025
Louisiana State University (US), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR), Agricultural Research Service (US), Food and Agriculture Organization of the United Nations (IT), Louisiana State University Agricultural Center (US), North Carolina State University (US), TH Bingen University of Applied Sciences (DE), James Hutton Institute (GB), Forschungszentrum Jülich (DE), University of Canberra (AU), International Center for Agricultural Research in the Dry Areas (LB), Université de Montpellier (FR), Bielefeld University (DE), Cornell University (US), Agropolis International (FR), Université Paris-Saclay (FR), Royal Botanic Gardens, Kew (GB), Vlaams Instituut voor Biotechnologie (BE), Bank of Mexico (MX), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Stockholm Environment Institute (KE), Mathématiques, Informatique et Statistique pour l'Environnement et l'Agronomie (FR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (FR), Beltsville Agricultural Research Center (US), Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) (DE), Institut Agro Montpelier (FR), Institut Français de Bioinformatique (FR), Services déconcentrés d'appui à la recherche Occitanie-Montpellier (FR), Institute of Bioinformatics (IN), Center for Occupational Research and Development (US), Institut de Recherche pour le Développement (FR), International Center for Tropical Agriculture (CO), Washington State University (US), Clemson University (US), Ithaca College (US), Wageningen University & Research (NL), Software (Spain) (ES)
U.S. Department of Agriculture, National Institute of Food and Agriculture
Openalex Percentile: Top 12%
Genetic Mapping and Diversity in Plants and Animals
1.82
DOIOpen Access PDFOpenAlex
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