Development of a Core Set from a Large Rice Collection using a Modified Heuristic Algorithm to Retain Maximum Diversity

作     者：Hun-Ki Chung Kyu-Won Kim Jong-Wook Chung Jung-Ro Lee Sok-Young Lee Anupam Dixit Hee-Kyoung Kang Weiguo Zhao Kenneth L. McNally Ruraidh S. Hamilton Jae-Gyun Gwag Yong-Jin Park 

作者机构：National Agrobiodiversity Center National Academy of Agricultural Science Suwon 441-707 Korea Department of Plant Resources College of Industrial Sciences Kongju National University Yesan 340-802 Korea Rice DNA and Quality Testing Laboratory Basmati Export Development Foundation SVBP University of Agriculture and Technology Meerut 250110 India Department of Horticultural Science College of Industrial Science Kongju National University Yesan 340-802 Korea jiangsu University of Science and Technology Seficultural Research Institute Chinese Academy of Agricultural Sciences Zhenjiang 212018 China Genetic Resources Center International Rice Research Institute Metro Manila 1301 Philippines 

出 版 物：《Journal of Integrative Plant Biology》 (植物学报（英文版）)

年 卷 期：2009年第51卷第12期

页      面：1116-1125页

核心收录：

学科分类：09[农学] 0901[农学-作物学] 

基　　金：Supported by the Bio-Green 21 program (20080401034058) of the Rural Development Administration (RDA), Korea a grant (200803101010290)from National Academy of Agricultural Science, RDA, Korea 

主　　题：core collection genetic diversity heuristic core collection Oryza sativa sampling strategy. 

摘      要：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.