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Development of GCP Ontology for Sharing Crop Information 17
Rosemary Shrestha; Ramil Mauleon; Reinhard Simon; Jayashree Balaji; Stephanie Channelière; Adriana Alercia; Martin Senger; Kevin Manansala; Thomas Metz; Guy Davenport; Richard Bruskiewich; Graham McLaren; Elizabeth Arnaud.
The Generation Challenge Programme (GCP – "http://www.generationcp.org":http://www.generationcp.org) is a globally distributed crop research consortium directed toward crop improvement through the application of comparative biology and genetic resources characterization to plant breeding. GCP adopted the development paradigm of a ‘model-driven architecture’ to achieve the interoperability and integration of diverse GCP data types that are available through distributed data sources and consumed by end-user data analysis tools. Its objective is to ensure semantic compatibility across the Consortium that will lead to the creation of robust global public goods from GCP research results....
Tipo: Poster Palavras-chave: Bioinformatics; Plant Biology.
Ano: 2009 URL: http://precedings.nature.com/documents/3087/version/1
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Characterizing genetic diversity and creating novel gene pools in rice for trait dissection and gene function discovery 17
Ramil Mauleon; Kenneth McNally; Hei Leung; Richard Bruskiewich; Ruaraidh Sackville-Hamilton.
Rice diversity is the foundation for rice improvement programs. At IRRI, over 100,000 rice accessions are deposited, and intelligent use of this diversity can not only help solve current production problems but also create future production opportunities and tackle climate change challenges. To fully explore and utilize rice diversity, two ingredients are needed: 1 - the genetic blueprints of diverse rice accessions in use, 2 - plant populations with recombined genotypes allowing expression of phenotypic variation and discovery of new genes/QTLs for use in breeding programs. Sequencing of the genomes & obtaining SNP genotypes of many rice accessions is feasible due to decreasing cost of advanced DNA sequencing technologies. Coupled with the...
Tipo: Presentation Palavras-chave: Genetics & Genomics; Bioinformatics.
Ano: 2010 URL: http://precedings.nature.com/documents/5114/version/1
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