The Generation Challenge Programme Platform for Crop Science
Author Information
Author(s): Richard Bruskiewich, Martin Senger, Guy Davenport, Manuel Ruiz, Mathieu Rouard, Tom Hazekamp, Masaru Takeya, Koji Doi, Kouji Satoh, Marcos Costa, Reinhard Simon, Jayashree Balaji, Akintunde Akinnola, Ramil Mauleon, Samart Wanchana, Trushar Shah, Mylah Anacleto, Arllet Portugal, Victor Jun Ulat, Supat Thongjuea, Kyle Braak, Sebastian Ritter, Alexis Dereeper, Milko Skofic, Edwin Rojas, Natalia Martins, Georgios Pappas, Ryan Alamban, Roque Almodiel, Lord Hendrix Barboza, Jeffrey Detras, Kevin Manansala, Michael Jonathan Mendoza, Jeffrey Morales, Barry Peralta, Rowena Valerio, Yi Zhang, Sergio Gregorio, Joseph Hermocilla, Michael Echavez, Jan Michael Yap, Andrew Farmer, Gary Schiltz, Jennifer Lee, Terry Casstevens, Pankaj Jaiswal, Ayton Meintjes, Mark Wilkinson, Benjamin Good, James Wagner, Jane Morris, David Marshall, Anthony Collins, Shoshi Kikuchi, Thomas Metz, Graham McLaren, Theo van Hintum
Primary Institution: International Rice Research Institute (IRRI)
Hypothesis
The GCP aims to improve crop varieties by utilizing comparative biology and genetic resources.
Conclusion
The GCP platform is designed to enhance data access and interoperability for crop research, particularly benefiting developing countries.
Supporting Evidence
- The GCP platform aims to support crop improvement through bioinformatics.
- It integrates diverse data types and tools for crop research.
- The platform is designed to be a global public good for researchers.
Takeaway
The GCP platform helps scientists share and analyze crop data to create better plants that can survive tough conditions like drought.
Methodology
The study involved developing a bioinformatics platform with shared models and tools for crop research.
Limitations
The platform is still evolving and may not fully meet all user needs yet.
Digital Object Identifier (DOI)
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