Development of a core set from a large rice collection using a modified heuristic algorithm to retain maximum diversity
A new heuristic approach was undertaken for the establishment of a core set for the diversity research of rice. As a result, 107 entries were selected from the 10 368 characterized accessions. The core set derived using this new approach provided a good representation of the characterized accessions...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2009
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/166110 |
| _version_ | 1855527538454953984 |
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| author | Chung, Hun-Ki Kim, Kyu-Won Chung, Jong-Wook Lee, Jung-Ro Lee, Sok-Young Dixit, Anupam Kang, Hee-Kyoung Zhao, Weiguo McNally, Kenneth L. Hamilton, Ruraidh S. Gwag, Jae-Gyun Park, Yong-Jin |
| author_browse | Chung, Hun-Ki Chung, Jong-Wook Dixit, Anupam Gwag, Jae-Gyun Hamilton, Ruraidh S. Kang, Hee-Kyoung Kim, Kyu-Won Lee, Jung-Ro Lee, Sok-Young McNally, Kenneth L. Park, Yong-Jin Zhao, Weiguo |
| author_facet | Chung, Hun-Ki Kim, Kyu-Won Chung, Jong-Wook Lee, Jung-Ro Lee, Sok-Young Dixit, Anupam Kang, Hee-Kyoung Zhao, Weiguo McNally, Kenneth L. Hamilton, Ruraidh S. Gwag, Jae-Gyun Park, Yong-Jin |
| author_sort | Chung, Hun-Ki |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | A new heuristic approach was undertaken for the establishment of a core set for the diversity research of rice. As a result, 107 entries were selected from the 10 368 characterized accessions. The core set derived using this new approach provided a good representation of the characterized accessions present in the entire collection. No significant differences for the mean, range, standard deviation and coefficient of variation of each trait were observed between the core and existing collections. We also compared the diversity of core sets established using this Heuristic Core Collection (HCC) approach with those of core sets established using the conventional clustering methods. This modified heuristic algorithm can also be used to select genotype data with allelic richness and reduced redundancy, and to facilitate management and use of large collections of plant genetic resources in a more efficient way. |
| format | Journal Article |
| id | CGSpace166110 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2009 |
| publishDateRange | 2009 |
| publishDateSort | 2009 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1661102025-05-14T10:24:12Z Development of a core set from a large rice collection using a modified heuristic algorithm to retain maximum diversity Chung, Hun-Ki Kim, Kyu-Won Chung, Jong-Wook Lee, Jung-Ro Lee, Sok-Young Dixit, Anupam Kang, Hee-Kyoung Zhao, Weiguo McNally, Kenneth L. Hamilton, Ruraidh S. Gwag, Jae-Gyun Park, Yong-Jin algorithms cluster analysis genetic diversity germplasm plant genetic resources A new heuristic approach was undertaken for the establishment of a core set for the diversity research of rice. As a result, 107 entries were selected from the 10 368 characterized accessions. The core set derived using this new approach provided a good representation of the characterized accessions present in the entire collection. No significant differences for the mean, range, standard deviation and coefficient of variation of each trait were observed between the core and existing collections. We also compared the diversity of core sets established using this Heuristic Core Collection (HCC) approach with those of core sets established using the conventional clustering methods. This modified heuristic algorithm can also be used to select genotype data with allelic richness and reduced redundancy, and to facilitate management and use of large collections of plant genetic resources in a more efficient way. 2009-12 2024-12-19T12:55:52Z 2024-12-19T12:55:52Z Journal Article https://hdl.handle.net/10568/166110 en Wiley Chung, Hun‐Ki; Kim, Kyu‐Won; Chung, Jong‐Wook; Lee, Jung‐Ro; Lee, Sok‐Young; Dixit, Anupam; Kang, Hee‐Kyoung; Zhao, Weiguo; McNally, Kenneth L.; Hamilton, Ruraidh S.; Gwag, Jae‐Gyun and Park, Yong‐Jin. 2009. Development of a core set from a large rice collection using a modified heuristic algorithm to retain maximum diversity. JIPB, Volume 51 no. 12 p. 1116-1125 |
| spellingShingle | algorithms cluster analysis genetic diversity germplasm plant genetic resources Chung, Hun-Ki Kim, Kyu-Won Chung, Jong-Wook Lee, Jung-Ro Lee, Sok-Young Dixit, Anupam Kang, Hee-Kyoung Zhao, Weiguo McNally, Kenneth L. Hamilton, Ruraidh S. Gwag, Jae-Gyun Park, Yong-Jin Development of a core set from a large rice collection using a modified heuristic algorithm to retain maximum diversity |
| title | Development of a core set from a large rice collection using a modified heuristic algorithm to retain maximum diversity |
| title_full | Development of a core set from a large rice collection using a modified heuristic algorithm to retain maximum diversity |
| title_fullStr | Development of a core set from a large rice collection using a modified heuristic algorithm to retain maximum diversity |
| title_full_unstemmed | Development of a core set from a large rice collection using a modified heuristic algorithm to retain maximum diversity |
| title_short | Development of a core set from a large rice collection using a modified heuristic algorithm to retain maximum diversity |
| title_sort | development of a core set from a large rice collection using a modified heuristic algorithm to retain maximum diversity |
| topic | algorithms cluster analysis genetic diversity germplasm plant genetic resources |
| url | https://hdl.handle.net/10568/166110 |
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