• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.154-154
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• 2017

In accordance with the opening of the Korean rice market, this study was focused on establishment of database for discriminating the Korean rice varieties and imported brand rices using DNA markers. In this study, the SNP markers were developed using single nucleotide polymorphisms between the reference sequences of japonica and them of 40 brand rices which collected in Australia, China, Thailand, United States and Vietnam. The developed SNP markers were screened to a total of 360 rices including 320 Korean rice varieties and 40 imported brand rices. We selected polymorphic markers among Korean bred rive varieties and imported brand rices. The selected markers were classified into 3 grades. The markers of A grade produced DNA band in 360 rices of 30~40%, B grades produced in 40~60%, and C grades produced bands over 60% rices. First, we tried to set-up the discriminating system using the minimum SNP markers of A grade. Especially, a set of sixteen SNP markers could identify among Korean bred rice varieties and imported brand rices. Additionally, some SNP markers like NSb for Pib gene, JJ80-T for Pi5 and YL155/YL87 for Pita which linked to resistance genes to blast were used to fingerprinting system. These markers were set-up as multiplex set for enhancing the identification efficiency among rice varieties. Finally, the selected SNP markers would be used to the fluidigm assay to construct the database for elaborate discrimination of rice varieties.

• Journal of Plant Biotechnology
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• v.44 no.3
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• pp.243-263
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• 2017

This study is to establish the varietal discrimination based on DNA profiling of different varieties of rice. We examined the genetic distance among Korean rice varieties using allele frequencies and a genetic diversity analysis with Simple Sequence Repeats (SSRs) markers. The analysis of the genetic diversity and genetic relationships of 243 Korean rice varieties was varied out using 20 SSRs markers. A total of 268 alleles were detected, ranging from 6 to 32, with an average of 13.45 alleles per locus, and and average of gene diversity (GD) of 0.556. Seven SSR markers were selected as key markers for discrimination among the Korean rice varieties. Concerning the results, 243 varieties (100%) were discriminated among by using acrylamide gel and fragment analyzer-based markers. In conclusion, this study provides useful basic data that can be utilized concerning Korean rice varieties breeding and development. In addition, we will have to manage and conserve as a valuable genetic resource, without losing the diversity of Korean rice varieties.

• Proceedings of the Korean Society of Crop Science Conference
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• 2019.09a
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• pp.154-154
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• 2019

• Proceedings of the Korean Society of Crop Science Conference
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• 2019.04a
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• pp.129-129
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• 2019

• 한국약용작물학회:학술대회논문집
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• 2008.11a
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• pp.171-172
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• 2008

• KOREAN JOURNAL OF CROP SCIENCE
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• v.51 no.7
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• pp.658-668
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• 2006

The objective of this study was to develop a technique for the cultivar discrimination using SSR markers in soybean. A total of 91 soybean cultivars developed from 1913 to 2002 in Korea were evaluated by five polymorphic SSR markers (Sat_043, Sat_036, Sat_022, Sat_088 and Satt045). Five SSR markers generated a total of 64 alleles and the number of alleles for each SSR marker ranged from 10 to 15 with average of 12.8. Polymorphic information contents (PIC) by five markers of 91 cultivars were ranged from 0.790 to 0.905 with average of 0.857. A total of 82 cultivars (90%) among 91 soybean cultivars could be individually discriminated by combination of five SSR markers through five step analysis. A cultivar, Buseok, by Sat_043 at the first step, 34 cultivars including Hojangkong by Sat_036 at the second step, 29 cultivars including Dankyeongkong by Sat_022 at the third step, 12 cultivars including Sinpaldalkong 2 by Sat_088 at the fourth step, and 6 cultivars including Saebyeolkong by Satt045 at the fifth step were discriminated. Soybean cultivars which were not discriminated by SSR markers could be discriminated by morphological characteristics.

• Bulletin of the Korean Chemical Society
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• v.33 no.12
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• pp.4267-4270
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• 2012

• 한국약용작물학회:학술대회논문집
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• 2011.09a
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• pp.90-91
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• 2011

• KOREAN JOURNAL OF CROP SCIENCE
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• v.45 no.1
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• pp.6-13
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• 2000

Water deficit is the primary constraint of soybean [Glycine max (L.) Merr.] yield, and a physiological understanding of processes affected by water deficit is a key step in identifying and improving drought tolerance in soybean. The objectives of this research were to evaluate biomass and nitrogen accumulation patterns and water use efficiency (WUE) as possible mechanisms associated with the drought tolerance of Jackson. Biomass accumulation of Jackson was contrasted with the PI416937, which also has demonstrated tolerance to drought. For water-deficit treatment, total biomass accumulation was negligible for PI416937, but biomass accumulation continued at approximately 64 % of the well-watered treatment of Jackson. Transpirational losses for Jackson and PI416937 were approximately the same for the water-deficit treatment, indicating that Jackson had superior WUE. Isotopic discrimination of $^{13}$ C relative to $^{12}$ C also indicated that Jackson had higher WUE. Results indicated that increased WUE for Jackson under water deficit showed it was tolerant to drought rather than had an avoidance mechanism.

• Korean Journal of Medicinal Crop Science
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• v.21 no.5
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• pp.353-360
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• 2013

Korean ginseng (P. ginseng C. A. Meyer) is one of the most important medicinal plant in the world. Understanding genetic variability among the assortment of Korean ginseng is important for breeding. The aim of this study was to molecularly characterize Korean ginseng cultivar and breeding lines through the use of eight previously reported STS markers (MFGp183, MFGp130, MFGp110, UFGp74, UFGp163, MFGp108, MFGp81 and UFGp156). All STS markers produced interpretable electropherograms from 31 accessions consisting of 11 Korean ginseng cultivars and 20 breeding lines. When eight STS markers were combined, we identified to total 19 genetic patterns; in particular, nine cultivars (Chunpoong, Yunpoong, Gopoong, Gumpoong, Sunpoong, Sunone, Cheongseon, Sunhyang, Cheonryang) and 5 breeding lines (G08012, G04079, G04075, G08036, G04110) in ginseng samples can be discriminated from the others. Together with other available markers, these STS markers will contribute to the management of ginseng genetic resources and the protection of breeders' rights.