Authors:
Peter Selby
Rafael Abbeloos, Anne-Françoise Adam-Blondon, Francisco J. Agosto-Pérez, Michael Alaux, Isabelle Alic, Khaled Al-Shamaa, johan Steven Aparicio, Jan Erik Backlund, Aldrin Batac, Aldrin Batac, Sebastian Beier, Gabriel Besombes, Alice Boizet, Matthijs Brouwer, Terry Casstevens, Arnaud Charleroy, Keo Corak, Chaney Courtney, Mariano Crimi, Gouripriya Davuluri, Kaue de Souza, Jeremy Destin, Stijn Dhondt, Ajay Dhungana, Bert Droesbeke, Manuel Feser, Manuel Feser, Mirella Flores-Gonzalez, Valentin Guignon, Corina Habito, Asis Hallab, Asis Hallab, Jenna Hershberger, Puthick Hok, Amanda M. Hulse-Kemp, Lynn Carol Johnson, Sook Jung, Paul Kersey, Andrzej Kilian, Patrick Konig, Suman Kumar, Josh Lamos-Sweeney, Laszlo Lang, Matthias Lange, Marie Angelique Laporte, Taein Lee, Erwan Le Floch, Francisco Lopez, Brandon Madriz, Dorrie Main, Marco Marsella, Maud Marty, Célia Michotey, Zachary Miller, Iain Milne, Lukas Mueller, Moses Nderitu, Pascal Neveu, Nick Palladino, Tim Parsons, Cyril Pommier, Jean-Francois Rami, Sebastian Raubach, Trevor Rife, Kelly Robbins, Mathieu Rouard, Joseph Ruff, Guilhem Sempéré, Romil Mayank Shah, Paul Shaw, Becky Smith, Nahuel Soldevilla, Nahuel Soldevilla, Anne Tireau, Clarysabel Tovar, Clarysabel Tovar, Grzegorz Uszynski, Vivian Bass Vega, Stephan Weise, Shawn C. Yarnes, The BrAPI Consortium
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.
Citation:
Peter Selby, Rafael Abbeloos, Anne-Françoise Adam-Blondon, Francisco Agosto-Pérez, Michael Alaux, Isabelle Alic, Khaled Al-Shamaa, johan Aparicio, Jan Backlund, Aldrin Batac, Sebastian Beier, Gabriel Besombes, Alice Boizet, Matthijs Brouwer, Terry Casstevens, Arnaud Charleroy, Keo Corak, Chaney Courtney, Mariano Crimi, Gouripriya Davuluri, Kaue de Souza, Jeremy Destin, Stijn Dhondt, Ajay Dhungana, Bert Droesbeke, Manuel Feser, Mirella Flores-Gonzalez, Valentin Guignon, Corina Habito, Asis Hallab, Jenna Hershberger, Puthick Hok, Amanda Hulse-Kemp, Lynn Carol Johnson, Sook Jung, Paul Kersey, Andrzej Kilian, Patrick Konig, Suman Kumar, Josh Lamos-Sweeney, Laszlo Lang, Matthias Lange, Marie Angelique Laporte, Taein Lee, Erwan Le Floch, Francisco Lopez, Brandon Madriz, Dorrie Main, Marco Marsella, Maud Marty, Célia Michotey, Zachary Miller, Iain Milne, Lukas Mueller, Moses Nderitu, Pascal Neveu, Nick Palladino, Tim Parsons, Cyril Pommier, Jean-Francois Rami, Sebastian Raubach, Trevor Rife, Kelly Robbins, Mathieu Rouard, Joseph Ruff, Guilhem Sempéré, Romil Mayank Shah, Paul Shaw, Becky Smith, Nahuel Soldevilla, Anne Tireau, Clarysabel Tovar, Grzegorz Uszynski, Vivian Bass Vega, Stephan Weise, Shawn Yarnes, The BrAPI Consortium. (24/9/2025). BrAPI v2: real-world applications for data integration and collaboration in the breeding and genetics community. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2025.
