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Genetic diversity of Saudi native chicken breeds segregating for naked neck and frizzle genes using microsatellite markers

  • Fathi, Moataz;El-Zarei, Mohamed;Al-Homidan, Ibrahim;Abou-Emera, Osama
    • Asian-Australasian Journal of Animal Sciences
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    • v.31 no.12
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    • pp.1871-1880
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    • 2018
  • Objective: Recently, there has been an increasing interest in conservation of native genetic resources of chicken on a worldwide basis. Most of the native chicken breeds are threatened by extinction or crossing with ecotypes. Methods: Six Saudi native chicken breeds including black naked neck, brown frizzled, black, black barred, brown and gray were used in the current study. The aim of the current study was to evaluate genetic diversity, relationship and population structure of Saudi native chicken breeds based on 20 microsatellite markers. Results: A total of 172 alleles were detected in Saudi native chicken breeds across all 20 microsatellite loci. The mean number of alleles per breed ranged from 4.35 in gray breed to 5.45 in normally feathered black with an average of 8.6 alleles. All breeds were characterized by a high degree of genetic diversity, with the lowest heterozygosity found in the brown breed (72%) and the greatest in the frizzled and black barred populations (78%). Higher estimate of expected heterozygosity (0.68) was found in both black breeds (normal and naked neck) compared to the other chicken populations. All studied breeds showed no inbreeding within breed (negative inbreeding coefficient [$F_{IS}$]). The phylogenetic relationships of chickens were examined using neighbor-joining trees constructed at the level of breeds and individual samples. The neighbor-joining tree constructed at breed level revealed three main clusters, with naked neck and gray breeds in one cluster, and brown and frizzled in the second cluster leaving black barred in a separate one. Conclusion: It could be concluded that the genetic information derived from the current study can be used as a guide for genetic improvement and conservation in further breeding programs. Our findings indicate that the Saudi native chicken populations have a rich genetic diversity and show a high polymorphism.

New record of an alien plant, Desmodium paniculatum (Fabaceae), in Korea based on a morphological examination and DNA barcoding (형태와 DNA 바코드에 근거한 한국 미기록 외래식물의 보고, 미국잔디갈고리(콩과))

  • JIN, Dong-Pil;KIM, Jung-Hyun;SIM, Sunhee;SUH, Hwa-Jung;KIM, Jin-Seok
    • Korean Journal of Plant Taxonomy
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    • v.51 no.2
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    • pp.133-140
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    • 2021
  • Desmodium paniculatum (Fabaceae), native to North America and an alien plant in Japan, was newly found in Hwaseong-si and Daejeon-si, Korea. This species is distinguished from Korean-related taxa based on certain morphological features. Specifically, it is a perennial herb, with a 4-5 jointed loment, and with the basal suture moderately incised between the articles. In the field, D. paniculatum grows around rivers and roadsides, suggesting that it is likely to have been introduced through river improvement work and road construction. On the phylogenetic tree based on an internal transcribed spacer, Korean individuals forms a clade with a Japanese individual. Here, we report a morphological description, photographs, an illustration, and the locality of D. paniculatum.

Effects of soft occlusal appliance therapy for patients with masticatory muscle pain

  • Kashiwagi, Kosuke;Noguchi, Tomoyasu;Fukuda, Kenichi
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.21 no.1
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    • pp.71-80
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    • 2021
  • Background: The options for stabilization appliance therapy for masticatory muscle pain include soft occlusal and hard stabilization appliances. A previous study suggested that hard stabilization appliance therapy was effective for patients with local myalgia who developed long facets on their occlusal appliances. The objective of this study was to identify patients in whom a soft occlusal appliance should be used to treat masticatory muscle pain by analyzing the type of muscle pain present and patient factors that influenced the effectiveness of this treatment. Methods: The study included 42 patients diagnosed with local myalgia or myofascial pain according to the Diagnostic Criteria for Temporomandibular Disorders Diagnostic Decision Tree. The analysis of patient factors included variables believed to be associated with temporomandibular disorders. First, a temporary screening appliance was used for 2 weeks to assess each patient for bruxism during sleep. Soft appliance therapy was then started. For each patient, the effectiveness of the appliance was evaluated according to the intensity of tenderness during muscle palpation and the treatment satisfaction score at one month after starting treatment. Results: Data from 37 of the 42 patients were available for analysis. Twenty-five patients reported satisfaction with the appliance. In logistic regression analysis, the odds ratio for reduction of facet length was 1.998. Nineteen patients showed at least a 30% improvement in the visual analog scale score. The odds ratio for local myalgia was 18.148. Conclusion: Soft appliance therapy may be used in patients with local myalgia. Moreover, patients who develop short facets on the appliance surface are likely to be satisfied with soft appliance therapy. Soft appliance therapy may be appropriate for patients with local myalgia who develop short facets on their occlusal appliance.

Analysis of the effect of street green structure on PM2.5 in the walk space - Using microclimate simulation - (가로녹지 유형이 보행공간의 초미세먼지에 미치는 영향 분석 - 미기후 시뮬레이션을 활용하여 -)

  • Kim, Shin-Woo;Lee, Dong-Kun;Bae, Chae-Young
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.24 no.4
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    • pp.61-75
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    • 2021
  • Roadside greenery in the city is not only a means of reducing fine dust, but also an indispensable element of the city in various aspects such as improvement of urban thermal environment, noise reduction, ecosystem connectivity, and aesthetics. However, in studies dealing with the effect of reducing fine dust through trees in existing urban spaces, microscopic aspects such as the adsorption effect of plants were dealt with, structural changes such as the width of urban buildings and streets, and the presence or absence of trees, Impact studies that reflect the actual form of In this study, the effect of greenery composition applicable to urban space on PM2.5 was simulated through the microclimate epidemiologic model ENVI-met, and field measurements were performed in parallel to verify the results. In addition, by analyzing the results of fine dust background concentration, wind speed, and leaf area index, the sensitivity to major influencing variables was tested. As a result of the study, it was confirmed that the fine dust reduction effect was the highest in the case with a high planting amount, and the reduction effect was the greatest at a low background concentration. Based on this, the cost of planting street green areas and the effect of reducing PM2.5 were compared. The results of this study can contribute as a basis for considering the effect of pedestrian space on air quality when planning and designing street green spaces.

Automated Scoring of Argumentation Levels and Analysis of Argumentation Patterns Using Machine Learning (기계 학습을 활용한 논증 수준 자동 채점 및 논증 패턴 분석)

  • Lee, Manhyoung;Ryu, Suna
    • Journal of The Korean Association For Science Education
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    • v.41 no.3
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    • pp.203-220
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    • 2021
  • We explored the performance improvement method of automated scoring for scientific argumentation. We analyzed the pattern of argumentation using automated scoring models. For this purpose, we assessed the level of argumentation for student's scientific discourses in classrooms. The dataset consists of four units of argumentation features and argumentation levels for episodes. We utilized argumentation clusters and n-gram to enhance automated scoring accuracy. We used the three supervised learning algorithms resulting in 33 automatic scoring models. As a result of automated scoring, we got a good scoring accuracy of 77.59% on average and up to 85.37%. In this process, we found that argumentation cluster patterns could enhance automated scoring performance accuracy. Then, we analyzed argumentation patterns using the model of decision tree and random forest. Our results were consistent with the previous research in which justification in coordination with claim and evidence determines scientific argumentation quality. Our research method suggests a novel approach for analyzing the quality of scientific argumentation in classrooms.

Analysis of Cone and Seed Characteristics from Different Mating Design Strategies of Pinus densiflora for. multicaulis

  • Lee, Kyungmi;Lee, Hyunseok;Kang, Jun-Won
    • Journal of Forest and Environmental Science
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    • v.37 no.4
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    • pp.309-314
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    • 2021
  • This study aimed to enhance seed productivity and secure genetic resources for Pinus densiflora for. multicaulis. We analyzed the characteristics of cone and seed generated by control pollination between Pinus densiflora (PD) and Pinus densiflora for. multicaulis (PDM). The highest number of cone scales (63.0) was obtained from the self-pollinated (sp) PDM clone B (PDM-sp-B), whereas the lowest number of cone scales (44.7) was obtained from two combinations designated as PDM-A×PD-075 and PDM-A×PD-0111. Both female parents of the hybrids were PDM-A. The highest seed production capacity (80.8) was obtained from the open-pollinated (op) PDM clone B (PDM-op-B). The seed potentials of PDM-B×PD-0111, PDM-op-A, and PDM-sp-B were 67.4, 66.5, and 63.1, respectively. The highest number of fertile scales (41.5) was obtained from PDM-op-B, and the lowest number of fertile scales (28.8) was obtained from PDM-A×PD-075. The total number of aborted ovules and 1st aborted ovules was not statistically significant in the mating design. The cross combination of PDM-B×PD-0111 had the highest number (34.8) of filled seeds and the lowest number of 2nd aborted ovules (5.2) and empty seeds (9). PDM-op-B had the highest number of developed seeds (47.6), although the number of empty seeds was the highest (41.2). Therefore, we conclude that the mating design of PDM-B×PD-0111 is useful for future breeding programs to improve seed yield of PDM. Our results showed that there was a strong correlation between the following two parameter pairs: number of scales and number of fertile scales, and the number of fertility scales and seeds potential (r=0.89 and r=0.84, respectively; both p<0.01).

A survey of viruses and viroids in astringent persimmon (Diospyros kaki Thunb.) and the development of a one-step multiplex reverse transcription-polymerase chain reaction assay for the identification of pathogens

  • Kwon, Boram;Lee, Hong-Kyu;Yang, Hee-Ji;Kim, So-Yeon;Lee, Da-Som;An, ChanHoon;Kim, Tae-Dong;Park, Chung Youl;Lee, Su-Heon
    • Journal of Plant Biotechnology
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    • v.49 no.3
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    • pp.193-206
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    • 2022
  • Astringent persimmon (Diospyros kaki Thunb.) is an important fruit crop in Korea; it possesses significant medicinal potential. However, knowledge regarding the pathogens affecting this crop, particularly, viruses and viroids, is limited. In the present study, reverse transcription-polymerase chain reaction (RT-PCR) and high-throughput transcriptome sequencing (HTS) were used to investigate the viruses and viroids infecting astringent persimmons cultivated in Korea. A one-step multiplex RT-PCR (mRT-PCR) method for the simultaneous detection of the pathogens was developed by designing species-specific primers and selecting the primer pairs via combination and detection limit testing. Seven of the sixteen cultivars tested were found to be infection-free. The RT-PCR and HTS analyses identified two viruses and one viroid in the infected samples (n = 51/100 samples collected from 16 cultivars). The incidence of single infections (n = 39/51) was higher than that of mixed infections (n = 12/51); the infection rate of the Persimmon cryptic virus was the highest (n = 31/39). Comparison of the monoplex and mRT-PCR results using randomly selected samples confirmed the efficiency of mRT-PCR for the identification of pathogens. Collectively, the present study provides useful resources for developing disease-free seedlings; further, the developed mRT-PCR method can be extended to investigate pathogens in other woody plants.

Multi-dimensional Analysis and Prediction Model for Tourist Satisfaction

  • Shrestha, Deepanjal;Wenan, Tan;Gaudel, Bijay;Rajkarnikar, Neesha;Jeong, Seung Ryul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.2
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    • pp.480-502
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    • 2022
  • This work assesses the degree of satisfaction tourists receive as final recipients in a tourism destination based on the fact that satisfied tourists can make a significant contribution to the growth and continuous improvement of a tourism business. The work considers Pokhara, the tourism capital of Nepal as a prefecture of study. A stratified sampling methodology with open-ended survey questions is used as a primary source of data for a sample size of 1019 for both international and domestic tourists. The data collected through a survey is processed using a data mining tool to perform multi-dimensional analysis to discover information patterns and visualize clusters. Further, supervised machine learning algorithms, kNN, Decision tree, Support vector machine, Random forest, Neural network, Naive Bayes, and Gradient boost are used to develop models for training and prediction purposes for the survey data. To find the best model for prediction purposes, different performance matrices are used to evaluate a model for performance, accuracy, and robustness. The best model is used in constructing a learning-enabled model for predicting tourists as satisfied, neutral, and unsatisfied visitors. This work is very important for tourism business personnel, government agencies, and tourism stakeholders to find information on tourist satisfaction and factors that influence it. Though this work was carried out for Pokhara city of Nepal, the study is equally relevant to any other tourism destination of similar nature.

A Study on MEC Network Application Functions for Autonomous Driving (자율주행을 위한 MEC 적용 기능의 연구)

  • Kang-Hyun Nam
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.3
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    • pp.427-432
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    • 2023
  • In this study, MEC (: Multi-access Edge Computing) proposes a cloud service network configuration for various tests of autonomous vehicles to which V2X (: Vehicle to Everything) is applied in Wave, LTE, and 5G networks and MEC App (: Application) applied V2X service function test verification of two domains (operator (KT, SKT, LG U+), network type (Wave, LTE (including 3G), 5G)) in a specific region. In 4G networks of domestic operators (SKT, KT, LG U+ and Wave), MEC summarized the improvement effects through V2X function blocks and traffic offloading for the purpose of bringing independent network functions. And with a high level of QoS value in the V2X VNF of the 5G network, the traffic steering function scenario was demonstrated on the destination-specific traffic path.

A study on structure of feed sprue considering turbulence and mold temperature in the investment casting process (Investment casting 공정에서 수축률을 고려한 소형탕도의 이상적인 구조와 주형 온도에 관한 연구)

  • Lee, Jong-Rae
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.32 no.1
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    • pp.25-32
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    • 2022
  • Investment casting is a production method commonly used to manufacture precision equipment, medical fields, and accessories, and has continued to develop through the modernization of equipment and high quality of materials, and its scope of use has been expanded. The purpose of this study is to minimize the defect rate by deriving structural improvement and standardization of mold temperature, which are key elements of the investment casting process, to minimize the defect rate. The scope of the study is limited to jewelry manufacturing casting processes suitable for understanding the structure and principles of small gate, and an experimental research is to be conducted by using soft Wax, gypsum powder, and 14 K gold as research materials. According to the results, the most appropriate casting standard temperature for the casting pattern of Alloy 14 k was the lowest turbulence at 980℃ flask temperature of 550℃, so good products could be produced. As a future task of this study, detailed studies are needed to data the structure and system temperature of small gate, reduce production defects in the field, and provide data for excellent investment casting competitiveness.