Predictive characterization methods for accessing and using CWR diversity

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dc.creatorThormann, I.
dc.creatorParra-Quijano, M.
dc.creatorRubio-Teso, M.L.
dc.creatorEndersen, D.T.F.
dc.creatorDias, S.
dc.creatorIriondo, Jose Maria
dc.creatorMaxted, Nigel
dc.date2016
dc.date2016-06-13T14:05:13Z
dc.date2016-06-13T14:05:13Z
dc.date.accessioned2026-06-27T13:51:13Z
dc.identifierhttps://hdl.handle.net/10568/75709
dc.identifier.urihttp://hdl.handle.net/123456789/67813
dc.languageen
dc.publisherCAB International
dc.relationhttps://hdl.handle.net/10568/75694
dc.rightsLimited Access
dc.sourceThormann, I.; Parra-Quijano, M.; Rubio-Teso, M.L.; Endersen, D.T.F.; Dias, S.; Iriondo, J.M.; Maxted, N. (2016) Predictive characterization methods for accessing and using CWR diversity. In: Maxted, N. (et al. (eds.)) Enhancing crop genepool use: capturing wild relative and landrace diversity for crop improvement. CABI p. 64-77 ISBN: 978-1-78064-613-8
dc.subjectwild plants
dc.subjectcrops
dc.subjectgeographic information systems
dc.subjectapplication methods
dc.subjectbiodiversity
dc.titlePredictive characterization methods for accessing and using CWR diversity
dc.typeBook Chapter

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