• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.68-68
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• 2017

The status of corn genetic diversity in the uplands of Sarangani in Southern Philippines was investigated using 12 morphological traits subjected to multivariate statistical analyses. Information about traditional farming, post-harvest and storage practices were also elicited especially in relation to losses of traditional varieties, a phenomenon known as genetic erosion. While a handful of farmers still plant traditional corn varieties in the remotest areas, a significant number had already shifted to genetically modified corn. Furthermore, principal component analysis (PCA) reduced the 12 morphological traits into 5 principal components and identified ear length and ear weight to be major contributors to variation. Cluster Analysis, on the other hand, formed two distinct groups but failed to give information about intra-cluster variability among the 32 collected corn accessions. These results warrant that more informative morphological traits and that molecular markers will be used to obtain a better picture of genetic diversity in Sarangani upland corn. Molecular analysis is also needed to establish genetic identities of these cultivars and to detect gene introgression from GM varieties into the gene pool of farmers' corn varieties. These analyses are imperative for the conservation of traditional corn varieties before they disappear in the Sarangani uplands because of shifting priorities of upland farmers.

• Asian-Australasian Journal of Animal Sciences
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• v.29 no.4
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• pp.471-478
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• 2016

Native duck populations have lower productivity, and have not been developed as much as commercials duck breeds. However, native ducks have more importance in terms of genetic diversity and potentially valuable economic traits. For this reason, population discriminable genetic markers are needed for conservation and development of native ducks. In this study, 24 highly polymorphic microsatellite (MS) markers were investigated using commercial ducks and native East and South Asian ducks. The average polymorphic information content (PIC) value for all MS markers was 0.584, indicating high discrimination power. All populations were discriminated using 14 highly polymorphic MS markers by genetic distance and phylogenetic analysis. The results indicated that there were close genetic relationships among populations. In the structure analysis, East Asian ducks shared more haplotypes with commercial ducks than South Asian ducks, and they had more independent haplotypes than others did. These results will provide useful information for genetic diversity studies in ducks and for the development of duck traceability systems in the market.

• Journal of Communications and Networks
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• v.18 no.6
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• pp.926-937
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• 2016

In this paper, we study the feasibility of receiver diversity for application to downlink cellular networks, where low-energy devices are equipped with information decoding and energy harvesting receivers for simultaneous wireless information and power transfer. We compare several options that are based on selection combining and maximum ratio combining, which provide different implementation complexities. By capitalizing on the Frechet inequality, we shed light on the advantages and limitations of each scheme as a function of the transmission rate and harvested power that need to be fulfilled at the low-energy devices. Our analysis shows that no scheme outperforms the others for every system setup. It suggests, on the other hand, that the low-energy devices need to operate in an adaptive fashion, by choosing the receiver diversity scheme as a function of the imposed requirements. With the aid of stochastic geometry, we introduce mathematical frameworks for system-level analysis. We show that they constitute an important tool for system-level optimization and, in particular, for identifying the diversity scheme that optimizes wireless information and power transmission as a function of a sensible set of parameters. Monte Carlo simulations are used to validate our findings and to illustrate the trade-off that emerge in cellular networks with simultaneous wireless information and power transfer.

• Korean Journal of Medicinal Crop Science
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• v.19 no.3
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• pp.149-156
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• 2011

The genetic diversity and the genetic relationship among 30 genetic resources of T. officinale and T. coreanum collected from 20 regions in Korea were evaluated by using ISSR markers. Out of 127 loci detected overall, 122 were identified to be polymorphic with a rate of 96.0% at the 30 individuals. The intraspecific polymorphism between T. officinale and T. coreanum was 92.6% and 88.2%, respectively. The genetic similarity matrix (GSM) revealed a wide range of variablility among the 30 accessions, spanning from 0.179 to 922. According to the clustering analysis, different species T. officinale and T. coreanum, were divided into independent groups and all of the accessions could be classified into 7 categories. Especially, all of the mountain collected accessions belonged to independent groups. The study findings indicate that T. officinale and T. coreanum accessions have a high genetic diversity and accordingly carry a germ-plasm qualifying as good genetic resources for breeding.

• Korean Journal of Plant Resources
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• v.25 no.3
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• pp.329-338
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• 2012

Genus Taraxacum has been widely used as a folkloric medicine for treatment of diverse diseases. The genetic diversity and relationship among 32 accessions belonging to five Taraxacum species (T. mongolicum T. coreanum, T. coreanum var. flavescens, T. officinale and T. laevigatum) which collected from field, mountain, island and seaside of Korea were evaluated using ISSR markers. A total of 142 ISSR loci detected in the overall species were all polymorphic loci (100%) and interspecies polymorphisms obtained from Korean native and naturalized species were 98.2% and 94.5%, respectively. The genetic similarity matrix (GSM) among 32 accessions ranged from 0.025 to 0.860 with an average of 0.303. According to the clustering analysis, the Korean native species and naturalized species were divided two major clusters. In addition, the different species were divided into independent groups except for the T. coreanum and T. coreanum var. flavescens, and all the 32 accessions could be classified into 7 categories. The study findings indicate that Taraxacum accessions have a high genetic diversity and the dandelion accessions as breeding materials can be effectively utilized for the improvement of Taraxacum breeding.

• Journal of Animal Science and Technology
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• v.62 no.6
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• pp.790-800
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• 2020

The Yeonsan Ogye (YO) chicken is a natural heritage of Korea, characterized by black feathers, skin, bones, eyes, and comb. The purebred of YO population has been reared under the natural mating system with no systematic selection and breeding plan. The purpose of this study was to identify the genetic diversity and find the optimal number of population sub-division using 12 polymorphic microsatellite (MS) markers to construct a pedigree-based breeding plan for the YO population. A total of 509 YO birds were used for this study. Genetic diversity and population structure analysis were conducted based on the MS marker genotype information. The overall average polymorphic information content value and expected heterozygosity of the population were 0.586, and 0.642, respectively. The K-mean cluster analysis based on the genetic distance result confirmed that the current YO population can be divided into three ancestry groups. Individuals in each group were evaluated based on their genetic distance to identify the potential candidates for a future breeding plan. This study concludes that a future breeding plan with known pedigree information of selected founder animals, which holds high genetic diversity, could be the best strategy to ensure the conservation of the Korean YO chicken population.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.23-33
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• 2021

This study analyzed news articles about 'Young-Kl' reported by 11 media outlets, identifying news frames and quotation frames. Using a semantic network analysis, this study inspected the quotations frames and measured the frequency of the quotes and sources types. Also, the concentration index of the frames was measured. The results showed that news frames consisted of 10 topics and quotation frames consisted of 14 topics. Although the differences among quotation frames by media as well as by source types were observed, the concentration index of sources such as government, political arena, and business appeared high. Therefore, this study suggested that numerical diversity of news sources would not establish the diversity of news frames.

• The Journal of Information Systems
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• v.33 no.3
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• pp.105-121
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• 2024

Purpose The purpose of this paper is to develop a method to improve topic representation by incorporating the TextRank technique in Bertopic-based topic modeling and additional indicators for determining the optimal number of topics. Design/methodology/approach In this paper, we propose a method to extract important documents from documents assigned to each topic of a topic model using the TextRank technique, and to calculate secondary diversity and generate topic representations based on the results. First, we integrate the TextRank algorithm into the Bertopic-based topic modeling process to set local secondary labels for each topic. The secondary labels of each topic are derived through extractive summarization based on the TextRank algorithm. Second, we improve the accuracy of selecting the optimal number of topics by calculating the secondary diversity index based on the extractive summary results of each topic. Third, we improve the efficiency by utilizing ChatGPT when deriving the labels of each topic. Findings As a result of performing case analysis and analysis evaluation using the proposed method, it was confirmed that topic representation based on TextRank results generated more accurate topic labels and that the secondary diversity index was a more effective index for determining the optimal number of topics.

• The Plant Pathology Journal
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• v.40 no.5
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• pp.551-558
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• 2024

Papaya leaf curl China virus (PaLCuCNV) is a damaging plant pathogen causing substantial losses to crop. The complete genomes of three PaLCuCNV isolates from Ageratum conyzoides were obtained and combined with the 68 reference isolates in GenBank for comprehensive genetic diversity analyses using specialized computational tools. Sequence alignment revealed nucleotide sequence similarity ranging from 85.3% to 99.9% among 71 PaLCuCNV isolates. Employing phylogenetic analysis, 71 PaLCuCNV sequences were clustered into five groups, with no significant correlation observed between genetic differentiation and either host species or geographical origin. Additionally, 13 recombination events across all PaLCuCNV isolates were identified. Genetic diversity analysis indicated the ongoing expansion and evolution of PaLCuCNV populations, supported by a neutral model. Moreover, significant genetic differentiation was observed among distinct viral populations, primarily attributed to genetic drift. Overall, our findings provide valuable insights into the detection, genetic variation, and evolutionary dynamics of PaLCuCNV.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.275-275
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• 2022

One of the most widely grown food crops in the world, wheat, is increasing more lodged since for increased rains and winds caused by abnormal climate. During the Green Revolution, shorter wheat cultivars were bred using many Rht genes to increase lodging resistance. However, since only some Rht genes were used for breeding shorter wheat, it may have had a limited impact on wheat breeding and reduced genetic diversity. Therefore, it is essential to search for genes that have breeding potential and affect dwarfism in order to increase the genetic diversity of dwarf characteristics in wheat. In this study, we performed the RNA-seq between 'Keumkang' and 'Komac 5' ('Keumkang' mutant) to analyze the difference in plant height. Differentially expressed genes (DEGs) analysis and Gene function annotation were performed using 265,365,558 mapped reads. Cluster set analysis was performed to compress and select candidate gene DEGs affecting plant height, stem and internode. Gene expression analysis was performed in order to identify the functions of the selected genes by condensing the results of the DEG analysis into a cluster set analysis. This analysis of these plant height-related genes could help reduce plant height, improve lodging resistance, and increase wheat yield. Its application to wheat breeding will also affect the increased genetic diversity of wheat dwarfism.