Predictive characterization methods for accessing and using CWR diversity

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Authors
Date
2016
Language
en
Type
Book Chapter
Review status
Peer Review
Accessibility
Limited Access
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Citation
Thormann, 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
Permanent link to cite or share this item: https://hdl.handle.net/10568/75709
External link to download this item: https://www.cabi.org/bookshop/book/9781780646138
AGROVOC Keywords
Subjects
GEOGRAPHIC INFORMATION SYSTEMS; APPLICATION METHODS; BIODIVERSITY;
Organizations Affiliated to the Authors
Bioversity International; International Treaty on Plant Genetic Resources for Food and Agriculture; Universidad Rey Juan Carlos; University of Oslo; University of Birmingham
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