Publications by authors named "Arllet Portugal"
Article Synopsis
- The Crop Ontology (CO) is a system developed by the Generation Challenge Program to support integrated crop breeding by providing standardized trait names, making it easier for breeders to access and share genotypic and phenotypic data.
- CO includes detailed descriptions of measurement methods and scales, along with images, to enhance data discovery and is integrated with the Integrated Breeding (IB) fieldbooks for efficient annotation of field data.
- It features online tools for continuous maintenance and allows for cross-referencing with other databases like Plant Ontology (PO) and Trait Ontology (TO), facilitating access to related genetic and climatic data.
The Generation Challenge programme (GCP) is a global crop research consortium directed toward crop improvement through the application of comparative biology and genetic resources characterization to plant breeding. A key consortium research activity is the development of a GCP crop bioinformatics platform to support GCP research. This platform includes the following: (i) shared, public platform-independent domain models, ontology, and data formats to enable interoperability of data and analysis flows within the platform; (ii) web service and registry technologies to identify, share, and integrate information across diverse, globally dispersed data sources, as well as to access high-performance computational (HPC) facilities for computationally intensive, high-throughput analyses of project data; (iii) platform-specific middleware reference implementations of the domain model integrating a suite of public (largely open-access/-source) databases and software tools into a workbench to facilitate biodiversity analysis, comparative analysis of crop genomic data, and plant breeding decision making.
View Article and Find Full Text PDFPassport and phenotypic data on germplasm and breeding lines are available from worldwide sources in various electronic formats. These data can be collated into a single database format to enable strategic interrogation to make the best use of data for effective germplasm use and enhancement. The International Crop Information System (http://www.
View Article and Find Full Text PDFAmbiguous germplasm identification; difficulty in tracing pedigree information; and lack of integration between genetic resources, characterization, breeding, evaluation, and utilization data are constraints in developing knowledge-intensive crop improvement programs. To address these constraints, the International Crop Information System (www.icis.
View Article and Find Full Text PDFThe International Rice Information System (IRIS, http://www.iris.irri.
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