Predictive characterization of crop wild relatives and landraces: technical guidelines version 1
Predictive characterization methods use ecogeographical and climatic data derived from the specific location of a collecting or observation site, to predict characteristics of accessions and populations that can inform conservation and use options. The predictive characterization methods presented i...
| Autores principales: | , , , , , |
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| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
Bioversity International
2014
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/68548 |
| _version_ | 1855527154256707584 |
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| author | Thormann, I. Endresen, D.T.F. Rubio-Teso, M.L. Iriondo, M.J. Maxted, Nigel Parra-Quijano, M. |
| author_browse | Endresen, D.T.F. Iriondo, M.J. Maxted, Nigel Parra-Quijano, M. Rubio-Teso, M.L. Thormann, I. |
| author_facet | Thormann, I. Endresen, D.T.F. Rubio-Teso, M.L. Iriondo, M.J. Maxted, Nigel Parra-Quijano, M. |
| author_sort | Thormann, I. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Predictive characterization methods use ecogeographical and climatic data derived from the specific location of a collecting or observation site, to predict characteristics of accessions and populations that can inform conservation and use options. The predictive characterization methods presented in these technical guidelines for crop wild relatives (CWR) and landraces (LR) aim to enhance the use of CWR and LR through identification of sets of accessions or occurrences that have a higher likelihood of harbouring genetic diversity for specific adaptive traits than a set selected at random. The methods presented are the ecogeographical filtering and the calibration method. These are two of the various methods that implement the Focused Identification of Germplasm Strategy (FIGS). The guidelines were developed within the framework of the EU funded project PGR Secure ‘Novel characterization of crop wild relative and landrace resources as a basis for improved crop breeding’. |
| format | Libro |
| id | CGSpace68548 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Bioversity International |
| publisherStr | Bioversity International |
| record_format | dspace |
| spelling | CGSpace685482025-11-05T08:41:13Z Predictive characterization of crop wild relatives and landraces: technical guidelines version 1 Thormann, I. Endresen, D.T.F. Rubio-Teso, M.L. Iriondo, M.J. Maxted, Nigel Parra-Quijano, M. climate change adaptation crops genes germplasm conservation plant breeding uses wild plants Predictive characterization methods use ecogeographical and climatic data derived from the specific location of a collecting or observation site, to predict characteristics of accessions and populations that can inform conservation and use options. The predictive characterization methods presented in these technical guidelines for crop wild relatives (CWR) and landraces (LR) aim to enhance the use of CWR and LR through identification of sets of accessions or occurrences that have a higher likelihood of harbouring genetic diversity for specific adaptive traits than a set selected at random. The methods presented are the ecogeographical filtering and the calibration method. These are two of the various methods that implement the Focused Identification of Germplasm Strategy (FIGS). The guidelines were developed within the framework of the EU funded project PGR Secure ‘Novel characterization of crop wild relative and landrace resources as a basis for improved crop breeding’. 2014 2015-10-16T13:28:53Z 2015-10-16T13:28:53Z Book https://hdl.handle.net/10568/68548 en Open Access application/pdf Bioversity International Thormann, I.; Parra-Quijano, M.; Endresen, D.T.F.; Rubio-Teso, M.L.; Iriondo, M.J.; Maxted, N. (2014) Predictive characterization of crop wild relatives and landraces: technical guidelines version 1. Bioversity International 40 p. |
| spellingShingle | climate change adaptation crops genes germplasm conservation plant breeding uses wild plants Thormann, I. Endresen, D.T.F. Rubio-Teso, M.L. Iriondo, M.J. Maxted, Nigel Parra-Quijano, M. Predictive characterization of crop wild relatives and landraces: technical guidelines version 1 |
| title | Predictive characterization of crop wild relatives and landraces: technical guidelines version 1 |
| title_full | Predictive characterization of crop wild relatives and landraces: technical guidelines version 1 |
| title_fullStr | Predictive characterization of crop wild relatives and landraces: technical guidelines version 1 |
| title_full_unstemmed | Predictive characterization of crop wild relatives and landraces: technical guidelines version 1 |
| title_short | Predictive characterization of crop wild relatives and landraces: technical guidelines version 1 |
| title_sort | predictive characterization of crop wild relatives and landraces technical guidelines version 1 |
| topic | climate change adaptation crops genes germplasm conservation plant breeding uses wild plants |
| url | https://hdl.handle.net/10568/68548 |
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