2010
DOI: 10.1007/s10709-010-9521-5
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Genotypic and phenotypic characterization of genetic differentiation and diversity in the USDA rice mini-core collection

Abstract: A rice mini-core collection consisting of 217 accessions has been developed to represent the USDA core and whole collections that include 1,794 and 18,709 accessions, respectively. To improve the efficiency of mining valuable genes and broadening the genetic diversity in breeding, genetic structure and diversity were analyzed using both genotypic (128 molecular markers) and phenotypic (14 numerical traits) data. This mini-core had 13.5 alleles per locus, which is the most among the reported germplasm collectio… Show more

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Cited by 84 publications
(94 citation statements)
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“…No duplicates were identified among the studied accessions for quantitative traits in the cluster analysis (Figure 3), which means there is a high diversity among the accessions for these traits. Cluster analysis based on agro-morphological diversity assessment in rice was also reported in several studies, such as Ghalain (2006), Naik et al (2006), Hien et al (2007), Sarawgi and Bhisne (2007), Mathure et al (2010), Li et al (2010) and Zhang et al (2010). Seetharam et al (2009) characterized 30 rice genotypes comprising landraces, pure lines, somaclones, breeding lines and varieties by SSR markers and morphological characters.…”
Section: Character 1 Index B Cvgmentioning
confidence: 82%
“…No duplicates were identified among the studied accessions for quantitative traits in the cluster analysis (Figure 3), which means there is a high diversity among the accessions for these traits. Cluster analysis based on agro-morphological diversity assessment in rice was also reported in several studies, such as Ghalain (2006), Naik et al (2006), Hien et al (2007), Sarawgi and Bhisne (2007), Mathure et al (2010), Li et al (2010) and Zhang et al (2010). Seetharam et al (2009) characterized 30 rice genotypes comprising landraces, pure lines, somaclones, breeding lines and varieties by SSR markers and morphological characters.…”
Section: Character 1 Index B Cvgmentioning
confidence: 82%
“…Although great efforts have been made to study Chinese rice germplasm, varied numbers of subgroups under two subspecies have been reported (Ting, 1957;Cheng, 1985;Zhang et al, 2009Zhang et al, , 2011bHuang et al, 2010;Jin et al, 2010;Li et al, 2010). For example, Jin et al (2010) used 100 genome-wide SSRs to investigate the population genetic structure of 416 Chinese rice accessions and grouped them into seven groups, with six groups belonging to Indica and only one to Japonica.…”
Section: Six Distinct and Major Groups Within O Sativamentioning
confidence: 99%
“…This study identified seven rice groups, three of which were defined as tropical japonica, one as temperate japonica, two as indica and one as aus in terms of Garris et al's (2005) classification. Numerous studies on rice cultivars at a local scale have also been conducted and found different subdivisions of rice germplasm (de Oliveira Borba et al, 2009;Zhang et al, 2009Zhang et al, , 2011bJin et al, 2010;Li et al, 2010). Thus, the genetic subdivision and classification of rice germplasm remain unclear, with three to seven major groups identified by different studies.…”
Section: Introductionmentioning
confidence: 99%
“…Microsatellite markers are a powerful tool for the analysis of wide genetic variations within or among populations (Tautz, 1989). In many crops, several recent studies have used SSR markers to assess the genetic diversity, phylogenetic relationships, and population structures of various crops, for example in durum wheat (Thuillet et al, 2005), maize (Vigouroux et al, 2005), and rice (Li et al, 2010). The aims of the present study were to evaluate the genetic diversity, population structure and genetic relationships among geographically diverse accessions of buckwheat landraces of Korea maintaining or conserving in National Agrobiodiversity Center of RDA using SSR markers.…”
Section: Introductionmentioning
confidence: 99%