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| Web URL(s): | https://archive.lib.msu.edu/tic/its/articles/2009jou533.pdf
Last checked: 10/18/2011
Requires: PDF Reader |
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| Publication Type:
| Refereed |
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| Author(s): | Kubik, Christine;
Honig, Joshua;
Meyer, William A.;
Bonos, Stacy A. |
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| Author Affiliation: | Department of Plant Biology and Pathology, School of Environmental and Biological Sciences, Rutgers University, New Brunswick, New Jersey |
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| Title: | Genetic diversity of creeping bentgrass cultivars using SSR markers |
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| Section: | Genetics and breeding
Other records with the "Genetics and breeding" Section
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| Meeting Info.: | Santiago, Chile: July 26-30 2009 |
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| Source: | International Turfgrass Society Research Journal. Vol. 11, No. Part 1, 2009, p. 533-547. |
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| Publishing Information: | Madison, WI: International Turfgrass Society |
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| # of Pages: | 15 |
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| Keywords: | TIC Keywords: Agrostis stolonifera; Analysis of molecular variance; Cultivar identification; Genetic diversity; Simple sequence repeats
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| Abstract/Contents: | "There is an increasing demand for new and improved cultivars to meet environmental restrictions and challenges. This results in the development and release of many turfgrass cultivars each year. Reliable and definitive cultivar identification becomes critical to maintain varietal purity and to protect breeder and consumer rights. Simple sequence repeats (SSRs) are a class of genetic marker that are useful for cultivar identification in many plant species. The objectives of this study were to: 1) characterize 30 SSR markers in creeping bentgrass, 2) determine genetic diversity within and among 13 creeping bentgrass cultivars (L-93, Penncross, Pennlinks, Penneagle, Crenshaw, SR 1020, Penn A-4, Penn A-2, Penn G-2, Penn G-6, Southshore, Putter and Seaside), and 3) determine if SSRs can be used to identify the cultivar origin of clones sampled from a golf course green. Thirty SSRs markers were isolated from a genomic library of creeping bentgrass enriched for di and tri-nucleotide repeats. The 30 SSR markers amplified 409 different alleles in 15 bentgrass populations (13 cultivars and two golf green samples). A genetic distance matrix was created from the SSR data in Genalex 6.1. An UPGMA dendogram and principal component analysis were developed from the genetic distance matrix and used to assess the genetic relatedness between bentgrass populations. Both UPGMA and PCA analysis grouped bentgrass populations into similar clusters which corresponded well to the breeding histories. Golf green samples showed a high similarity to originally seeded cultivars and not overseeded cultivars. AMOVA results revealed higher genetic diversity within populations compared to among them. This research indicates that SSR markers are a useful tool to measure genetic diversity within creeping bentgrass and could be used to solve practical management issues and to supplement morphological and agronomic data for plant variety protection." |
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| Language: | English |
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| References: | 50 |
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| Note: | Figures
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Kubik, C., J. Honig, W. A. Meyer, and S. A. Bonos. 2009. Genetic diversity of creeping bentgrass cultivars using SSR markers. Int. Turfgrass Soc. Res. J. 11(Part 1):p. 533-547. |
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| Web URL(s):
https://archive.lib.msu.edu/tic/its/articles/2009jou533.pdf
Last checked: 10/18/2011
Requires: PDF Reader |
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MSU catalog number: b2548899 |
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