000 03769nab a22004577a 4500
001 G93890
003 MX-TxCIM
005 20220511225431.0
008 220511s2010 xxk|||p|op||| 00| 0 eng d
022 _a2041-2851 (Online)
024 8 _ahttps://doi.org/10.1093/aobpla/plq008
040 _aMX-TxCIM
041 _aeng
090 _aCIS-5879
100 1 _9864
_aShrestha, R.
_gGenetic Resources Program
_8INT2832
245 1 0 _aMultifunctional crop trait ontology for breeders' data :
_bfield book, annotation, data discovery and semantic enrichment of the literature
260 _aUnited Kingdom :
_bOxford University Press,
_c2010.
500 _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=2041-2851
500 _aPeer review
500 _aOpen Access
520 _aBackground and aims: Agricultural crop databases maintained in gene banks of the Consultative Group on International Agricultural Research (CGIAR) are valuable sources of information for breeders. These databases provide comparative phenotypic and genotypic information that can help elucidate functional aspects of plant and agricultural biology. To facilitate data sharing within and between these databases and the retrieval of information, the crop ontology (CO) database was designed to provide controlled vocabulary sets for several economically important plant species. Methodology: Existing public ontologies and equivalent catalogues of concepts covering the range of crop science information and descriptors for crops and crop-related traits were collected from breeders, physiologists, agronomists, and researchers in the CGIAR consortium. For each crop, relationships between terms were identified and crop-specific trait ontologies were constructed following the Open Biomedical Ontologies (OBO) format standard using the OBO-Edit tool. All terms within an ontology were assigned a globally unique CO term identifier. Principal results: The CO currently comprises crop-specific traits for chickpea (Cicer arietinum), maize (Zea mays), potato (Solanum tuberosum), rice (Oryza sativa), sorghum (Sorghum spp.) and wheat (Triticum spp.). Several plant-structure and anatomy-related terms for banana (Musa spp.), wheat and maize are also included. In addition, multi-crop passport terms are included as controlled vocabularies for sharing information on germplasm. Two web-based online resources were built to make these COs available to the scientific community: the ‘CO Lookup Service’ for browsing the CO; and the ‘Crops Terminizer’, an ontology text mark-up tool. Conclusions: The controlled vocabularies of the CO are being used to curate several CGIAR centres' agronomic databases. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases will be important steps in comparative phenotypic and genotypic studies across species and gene-discovery experiments.
536 _aGenetic Resources Program
546 _aText in English
594 _aINT2832
595 _aCSC
650 7 _98810
_aOntology
_2AGROVOC
650 7 _91045
_aClimate change
_2AGROVOC
650 7 _93525
_aGene banks
_2AGROVOC
650 7 _96207
_aData bases
_2AGROVOC
700 1 _aArnaud, E.
_94903
700 1 _aMauleon, R.
_926748
700 1 _aSenger, M.
_926742
700 1 _aDavenport, G.
_920393
700 1 _aHancock, D.
_927400
700 1 _aMorrison, N.
_927401
700 1 _aBruskiewich, R.
_926741
700 1 _aMcLaren, G.
_927252
773 0 _tAoB Plants
_gv. 2010, art. plq008
_dUnited Kingdom : Oxford University Press, 2010.
_x2041-2851
856 4 _uhttp://hdl.handle.net/10883/1808
_yOpen Access through DSpace
942 _cJA
_2ddc
_n0
999 _c28006
_d28006