• Korean Journal of Medicinal Crop Science
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• v.19 no.5
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• pp.347-353
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• 2011

In this study, simple sequence repeat (SSR) analyses were utilized for evaluation of genetic diversity and discrimination of 17 accessions. Five cultivars, which were developed from Korea, and 12 foreign accessions, which were collected from China, Japan, Russia and USA, were evaluated by nine markers out of 22 SSR markers. A total of 39 alleles were detected, ranging from 2 to 8, with an average of 4.3 alleles per locus. The expected heterozygosity and PIC values were 0.627 and 0.553, with a range from 0.21 (GB-PG-078) to 0.76 (GB-PG-142) and from 0.19 (GB-PG-078) to 0.70 (GB-PG-142), respectively. Four makers out of nine SSR markers, GB-PG-026, GB-PG-043, GB-PG-142 and GB-PG-177, were selected as key factors for discrimination of Korean ginseng cultivars and foreign accessions. All of Korean ginseng cultivars and foreign accessions were individually by the combination of four SSR markers. Consequently, the SSR markers developed in this study may prove useful for the evaluation of genetic diversity and discrimination of Korean ginseng cultivars and foreign accessions.

• Korean Journal of Medicinal Crop Science
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• v.12 no.1
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• pp.67-72
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• 2004

For discrimination the origins and the commercial herb medicines of three Angelicae Radixes (Danggui), anatomical characters of leaves, petioles, and root cross-section were investigated and those were compared each other. The key for discrimination of these herb medicines was made by below simple characters: development of periderm, absent and present of collenchyma under the periderm, and distribution of latex tube in cortex. The result of discrimination for the commercial herb medicines based on the discrimination key, Angelicae gjgantis Radix (Angelica Gigas Root), Angelicae Radix (Japanese Angelica Root), and Radix Angelicae Sinensis (Danggui) were correctly identified for Angelica gigas Nakai, A acutiloba Kitagawa, and Angelica sinensis (Oliv.) Diels., respectively. Consequently, anatomical characters could be utilized for useful method to discriminate three Angelicae Radixes (Danggui).

• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.370-375
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• 1998

Spectral reflectance signatures of upland crops at OSMI bands were collected and evaluated for the feasibility of crop discrimination knowledge-based on crop calendar. Effective bands and their ratio values for discriminating corn from two other legumes were defined with OSMI equivalent bands and their ratio values. June 22 among measurements dates was the best date for corn discrimination from two other legumes, peanut and soybean, because all OSMI equivalent bands and their ratio values in June 22 were highly significant for corn separability. Phenological growth stage of a silage corn (rs510) could be estimated as a function of spectral reflectance signatures in vegetative stage. Five growth stage prediction models were generated by the SAS procedures REG and STEPWISE with OSMI equivalent bands and their ratio values in vegetative stage.

• Proceedings of the Korean Society of Crop Science Conference
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• 2023.04a
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• pp.179-179
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• 2023

• Korean Journal of Environmental Agriculture
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• v.39 no.3
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• pp.263-272
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• 2020

BACKGROUND: This paper describes the successful discrimination of GM crops from the respective wild type (WT) controls using spectroscopy and chemometric analysis. Despite the many benefits that GM crops, their development has raised concerns, particularly about their potential negative effects on food production and the environment. From this point of view, the introduction of GM crops into the market requires the development of rapid and accurate identification technologies to ensure consumer safety. METHODS AND RESULTS: The development of a GM crop discrimination model using spectroscopy involved the pre-processing of the collected spectral information, the selection of a discriminant model, and the verification of errors. Examples of GM versus WT discrimination using spectroscopy are available for soybeans, tomatoes, corn, sugarcane, soybean oil, canola oil, rice, and wheat. Here, we found that not only discrimination but also cultivar grouping was possible. CONCLUSION: Since for the determination of GM crop there is no pre-defined pre-processing method or calibration model, it is extremely important to select the appropriate ones to increase the accuracy in a case-by-case basis.

• Korean Journal of Medicinal Crop Science
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• v.19 no.3
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• pp.185-190
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• 2011

The principal objective of this study was to develop a discrimination method using SSR markers in Korean ginseng cultivars. Five cultivars--Chunpoong, Yunpoong, Gopoong, Sunpoong, and Kumpoong--were evaluated by nine markers out of 22 SSR markers. A total of 23 alleles were detected, ranging from 1 to 4, with an average of 2.6 alleles per locus, and an averages of gene diversity (GD) of 0.480. Nine markers were tested in order to distinguish among five Korean ginseng cultivars. Two markers out of nine SSR markers, GB-PG-065 and GB-PG-142, were selected as key markers for discrimination among Korean ginseng cultivars. Two genotypes were detected in GB-PG-065. Chunpoong and Kumpoong shared the same allele type, and Yunpoong, Gopoong, and Sunpoong shared another identical allele type. In the case of GB-PG-142, a specific allele type differentiated from those of other four cultivars was observed only in Sunpoong cultivar. Consequently, the SSR markers developed in this study may prove useful for the identification of Korean ginseng cultivars and the development of ginseng seed management systems, as well as tests to guarantee the purity of ginseng seeds.

• Korean Journal of Medicinal Crop Science
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• v.17 no.6
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• pp.445-451
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• 2009

This study was undertaken to develop a technique of discrimination using SSR makers in boxthorn cultivars. Forty one boxthorn cultivars, which were collected from Korea and China, were evaluated by 10 SSR markers. Total of 61 alleles were detected, ranging from 3 to 13 with an average of 6.1 alleles per locus. The averages of gene diversity and PIC values were 0.482 and 0.428, with a range from 0.25 (GB-LCM-022 and GB-LCM-087) to 0.83 (GB-LCM-167) and from 0.24 (GB-LCM-022 and GB-LCM-087) to 0.81 (GB-LCM-167), respectively. Five markers out of 10 markers, GB-LCM-022, GB-LCM-075, GB-LCM-104, GB-LCM-167 and GB-LCM-217, were selected as key markers for discrimination in boxthorn cultivars. All of boxthorn cultivars were individually distinguished by the combination of five SSR markers.

• Korean Journal of Medicinal Crop Science
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• v.12 no.1
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• pp.53-59
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• 2004

Finding a means to discriminate the commercial herb medicines when they were dried and sliced is a very important and imminent project in Korea. To differentiate plant origins and the commercial herb medicines of Atractylodes japonica and A. macrocephala, two discriminative methods using anatomical characteristics and SCAR marker were applied. It was possible to discriminate plant origins and the commercial herb medicines between A. japonica and A. macrocephala by anatomical characteristics: development of periderm, layer of stone cell, distribution of laticiferous vessels, development of xylem fiber in xylem ray, contained quantity of clustered crystals and others. While, two SCAR markers were developed from RAPD clones: SAjR2 (600 bp) from AjR2 and SAmR1 (1,200 bp) from AmR1. These two markers were enough for discrimination plant origins and the commercial herb medicines between A. japonica and A. macrocephala. The result of application of anatomical characteristics and SCAR markers to investigate current status in domestic herb market, Daegu and Kumsan herb market, it was identified to be current herb medicines of A japonica.

• Korean Journal of Medicinal Crop Science
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• v.11 no.4
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• pp.268-273
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• 2003

To identify the variation of the RAPD patterns between two Atractylodes species, 52 kinds of random primers were applied to each eight of A japonica and A. macrocephala genomic DNA. Ten primers of 52 primers could be used to discriminate between the species and 18 polymorphisms among 67 scored DNA fragments (18 fragments are specific for A. japonica and A. macrocephala) were generated using these primers, 26.9% of which were polymorphic. RAPD data from the 10 primers was used for cluster analysis. The cluster analysis of RAPD markers showed that the two groups are genetically distinct. On the other hand, to identify the variation of the AFLP patterns and select the species specific AFLP markers, eight combinations of EcoRI/MseI primers were applied to the bulked A. japonica and A. macrocephala genomic DNA. Consequently, three combinations of EcoRI/MseI primers (EcoRI /Mse I ; AAC/CTA, AAC/CAA, AAG/CTA) used in this study revealed 176 reliable AFLP markers, 42.0% of which were polymorphic. 74 polymorphisms out of 176 scored DNA fragments were enough to clearly discriminate between two Atractylodes species.

• The Plant Pathology Journal
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• v.38 no.3
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• pp.194-202
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• 2022

Erwinia amylovora and Erwinia pyrifoliae cause fire blight and black-shoot blight, respectively, in apples and pears. E. pyrifoliae is less pathogenic and has a narrower host range than that of E. amylovora. Fire blight and black-shoot blight exhibit similar symptoms, making it difficult to distinguish one bacterial disease from the other. Molecular tools that differentiate fire blight from black-shoot blight could guide in the implementation of appropriate management strategies to control both diseases. In this study, a primer set was developed to detect and distinguish E. amylovora from E. pyrifoliae by conventional polymerase chain reaction (PCR). The primers produced amplicons of different sizes that were specific to each bacterial species. PCR products from E. amylovora and E. pyrifoliae cells at concentrations of 10⁴ cfu/ml and 10⁷ cfu/ml, respectively, were amplified, which demonstrated sufficient primer detection sensitivity. This primer set provides a simple molecular tool to distinguish between two types of bacterial diseases with similar symptoms.