2007
DOI: 10.2135/cropsci2006.07.0444
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Development and Evaluation of a Core Subset of the USDA Rice Germplasm Collection

Abstract: A valuable core collection that is a subset of a whole germplasm collection should capture most of the variation present in the whole collection, while allowing for more efficient evaluation and management due to smaller size. The United States Department of Agriculture (USDA) rice (Oryza sativa L.) core subset (RCS), assembled by stratified random sampling, consists of 1790 entries from 114 countries and represents approximately 10% of the 18412 accessions in the rice whole collection (RWC). Data for this stu… Show more

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Cited by 112 publications
(119 citation statements)
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“…Analyses of molecular markers have also detected a considerable number of sequence variations in diverse cultivars (Sun et al 2002, Wang et al 1992, Yan et al 2007, Zeng et al 2007. Recent progress in rice genomics has enhanced our understanding of these natural variations, which are potential sources of useful genes for improving rice cultivars (Yamamoto et al 2009).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Analyses of molecular markers have also detected a considerable number of sequence variations in diverse cultivars (Sun et al 2002, Wang et al 1992, Yan et al 2007, Zeng et al 2007. Recent progress in rice genomics has enhanced our understanding of these natural variations, which are potential sources of useful genes for improving rice cultivars (Yamamoto et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…To assess and explore such variations effectively using genetic analyses, a collection of diverse germplasms consisting of a relatively small number of accessions representative of the variation in the natural rice population should be assembled. For this purpose, the United States Department of Agriculture has developed a core rice germplasm collection (Yan et al 2007). Moreover, the National Institute of Agrobiological Sciences (NIAS) have established two mini-core collections, each consisting of a small number of accessions that together cover more than 90% of the phenotypic and genotypic variation in rice accessions , Kojima et al 2005.…”
Section: Introductionmentioning
confidence: 99%
“…To overcome these problems, Frankel and Brown (8) proposed the establishment of a core collection (10% of the total) that could be selected from the existing collection of crop species resources in a gene bank. Core collections based on phenotypic data have been reported in several crops (3,27,28,32). Using passport information and data on 23 morphological descriptors, Upadhyaya et al (29) developed a core collection consisting of 155 foxtail millet accessions.…”
mentioning
confidence: 99%
“…M-Strat (Gouesnard et al 2001), Genetic distance sampling (Jansen and Van Hintum 2007), Power Core (Kim et al 2007) and Core Hunter (Thachuk et al 2009). Similarly core has been developed using several kinds of data ranging from genealogical data in the Czech spring wheat (Stehno et al 2006), agronomic data in groundnut (Upadhyaya 2003;Upadhyaya et al 2003) and molecular data or integration of data in bread wheat (Balfourier et al 2007) and in rice (Borba et al 2009;Yan et al 2007). PowerCore is a new and a faster approach for developing core collection, which effectively simplifies the generation process of a core set with reduced number of core entries but maintaining high percent of diversity compared to other methods used.…”
Section: Core Set Developmentmentioning
confidence: 99%