Assessing rice and wheat germplasm collections using similarity groups
Central crop databases or registries are important tools to enhance the use and conservation of plant genetic resources. In 2008–2009 a group of Centers from the Consultative Group on International Agricultural Research worked together on the development of central crop registries for eight differen...
| Autores principales: | , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2014
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/165551 |
| _version_ | 1855513230595588096 |
|---|---|
| author | Hazekamp, Th. Payne, T.S. Hamilton, Ruaraidh Sackville |
| author_browse | Hamilton, Ruaraidh Sackville Hazekamp, Th. Payne, T.S. |
| author_facet | Hazekamp, Th. Payne, T.S. Hamilton, Ruaraidh Sackville |
| author_sort | Hazekamp, Th. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Central crop databases or registries are important tools to enhance the use and conservation of plant genetic resources. In 2008–2009 a group of Centers from the Consultative Group on International Agricultural Research worked together on the development of central crop registries for eight different crops. The International Rice Research Institute and the International Maize and Wheat Improvement Center led the development of the crop registries for rice and wheat, respectively. The registries were to compile data across collections and add value to these datasets by assessing the similarity of the accessions from those collections. We describe in detail the methodology developed for the rice and wheat registries. This methodology mainly followed an algorithmic approach to assess the correspondence between pairs of accessions. Accessions which shared a common origin were placed together in similarity groups. Using these groups the similarity of accessions in and among collections was further analysed. |
| format | Journal Article |
| id | CGSpace165551 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1655512025-05-14T10:39:25Z Assessing rice and wheat germplasm collections using similarity groups Hazekamp, Th. Payne, T.S. Hamilton, Ruaraidh Sackville databases genetic resources germplasm collections irri methods varieties Central crop databases or registries are important tools to enhance the use and conservation of plant genetic resources. In 2008–2009 a group of Centers from the Consultative Group on International Agricultural Research worked together on the development of central crop registries for eight different crops. The International Rice Research Institute and the International Maize and Wheat Improvement Center led the development of the crop registries for rice and wheat, respectively. The registries were to compile data across collections and add value to these datasets by assessing the similarity of the accessions from those collections. We describe in detail the methodology developed for the rice and wheat registries. This methodology mainly followed an algorithmic approach to assess the correspondence between pairs of accessions. Accessions which shared a common origin were placed together in similarity groups. Using these groups the similarity of accessions in and among collections was further analysed. 2014-04 2024-12-19T12:55:11Z 2024-12-19T12:55:11Z Journal Article https://hdl.handle.net/10568/165551 en Open Access Springer Hazekamp, Th.; Payne, T. S. and Sackville Hamilton, N. R. 2014. Assessing rice and wheat germplasm collections using similarity groups. Genet Resour Crop Evol, Volume 61 no. 4 p. 841-851 |
| spellingShingle | databases genetic resources germplasm collections irri methods varieties Hazekamp, Th. Payne, T.S. Hamilton, Ruaraidh Sackville Assessing rice and wheat germplasm collections using similarity groups |
| title | Assessing rice and wheat germplasm collections using similarity groups |
| title_full | Assessing rice and wheat germplasm collections using similarity groups |
| title_fullStr | Assessing rice and wheat germplasm collections using similarity groups |
| title_full_unstemmed | Assessing rice and wheat germplasm collections using similarity groups |
| title_short | Assessing rice and wheat germplasm collections using similarity groups |
| title_sort | assessing rice and wheat germplasm collections using similarity groups |
| topic | databases genetic resources germplasm collections irri methods varieties |
| url | https://hdl.handle.net/10568/165551 |
| work_keys_str_mv | AT hazekampth assessingriceandwheatgermplasmcollectionsusingsimilaritygroups AT paynets assessingriceandwheatgermplasmcollectionsusingsimilaritygroups AT hamiltonruaraidhsackville assessingriceandwheatgermplasmcollectionsusingsimilaritygroups |