International crop information system for germplasm data management.
Identifieur interne : 000A60 ( Main/Exploration ); précédent : 000A59; suivant : 000A61International crop information system for germplasm data management.
Auteurs : Arllet Portugal [Philippines] ; Ranjan Balachandra ; Thomas Metz ; Richard Bruskiewich ; Graham MclarenSource :
- Methods in molecular biology (Clifton, N.J.) [ 1064-3745 ] ; 2007.
English descriptors
- KwdEn :
- MESH :
- genetics : Crops, Agricultural.
- methods : Computational Biology.
- Database Management Systems, Databases, Genetic, International Cooperation, Software.
Abstract
Passport 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.icis.cgiar.org) is an open-source project under development by a global community of crop researchers and includes applications designed to achieve the storage and interrogation of pedigree and phenotypic data.
PubMed: 18287707
Affiliations:
Links toward previous steps (curation, corpus...)
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- to stream PubMed, to step Curation: 000371
- to stream PubMed, to step Checkpoint: 000371
- to stream Ncbi, to step Merge: 000209
- to stream Ncbi, to step Curation: 000209
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Passport 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.icis.cgiar.org) is an open-source project under development by a global community of crop researchers and includes applications designed to achieve the storage and interrogation of pedigree and phenotypic data.</div>
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