• Title/Summary/Keyword: Forest disease

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Revisiting Rhytisma lonicericola: Morphological Characterization and Molecular Phylogenetic Analysis

  • Jung, Bok-Nam;Park, Ji-Hyun;Shin, Hyeon-Dong
    • Mycobiology
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    • v.50 no.2
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    • pp.150-154
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    • 2022
  • Rhytisma lonicericola was identified as a tar spot fungus on Lonicera sp. in 1902, and has since been recorded on several species of Lonicera in China, Japan, and Korea. Most of the previous records of R. lonicericola have been based on a list of disease occurrences in the absence of any formal morphological identification or molecular analyses. Using six newly obtained specimens collected in the past 2 years, we confirmed the tar spot fungus found on L. japonica in Korea as R. lonicericola based on morphological examinations and molecular phylogenetic analyses. This fungus was distinguished from R. xylostei, another tar spot fungus on Lonicera, by ascospore size and geographical distributions. We present detailed mycological information and, for the first time, DNA sequence data useful for the identification of R. lonicericola.

Information System for Agricultural Weather and Disease and Insect Pest Management for Rice Growers in Gyeonggi-do, Korea (경기도 벼 재배 농가를 위한 농업기상 및 병해충예찰 정보시스템)

  • 홍순성;강위수;조성인;김진영;박경렬;한용규;박은우
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2003.09a
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    • pp.87-87
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    • 2003
  • The Gyeonggi-do Agricultural Research and Extension Services has developed a web-site (http://www.epilove.com) in collaboration with EPINET to provide information on agricultural weather and rice disease and insect pest management in Gyeonggi-do. Weather information includes near real-time weather data monitored by automated weather stations (AWS) installed at rice paddy fields of 11 Agricultural Technology Centers (ATC) in Gyeonggi-do, and weekly weather forecast by Korea Meteorological Administration (KMA).(omitted)

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A Novel Feature Selection Approach to Classify Breast Cancer Drug using Optimized Grey Wolf Algorithm

  • Shobana, G.;Priya, N.
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.258-270
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    • 2022
  • Cancer has become a common disease for the past two decades throughout the globe and there is significant increase of cancer among women. Breast cancer and ovarian cancers are more prevalent among women. Majority of the patients approach the physicians only during their final stage of the disease. Early diagnosis of cancer remains a great challenge for the researchers. Although several drugs are being synthesized very often, their multi-benefits are less investigated. With millions of drugs synthesized and their data are accessible through open repositories. Drug repurposing can be done using machine learning techniques. We propose a feature selection technique in this paper, which is novel that generates multiple populations for the grey wolf algorithm and classifies breast cancer drugs efficiently. Leukemia drug dataset is also investigated and Multilayer perceptron achieved 96% prediction accuracy. Three supervised machine learning algorithms namely Random Forest classifier, Multilayer Perceptron and Support Vector Machine models were applied and Multilayer perceptron had higher accuracy rate of 97.7% for breast cancer drug classification.

A Review of Hyperspectral Imaging Analysis Techniques for Onset Crop Disease Detection, Identification and Classification

  • Awosan Elizabeth Adetutu;Yakubu Fred Bayo;Adekunle Abiodun Emmanuel;Agbo-Adediran Adewale Opeyemi
    • Journal of Forest and Environmental Science
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    • v.40 no.1
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    • pp.1-8
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    • 2024
  • Recently, intensive research has been conducted to develop innovative methods for diagnosing plant diseases based on hyperspectral technologies. Hyperspectral analysis is a new subject that combines optical spectroscopy and image analysis methods, which makes it possible to simultaneously evaluate both physiological and morphological parameters. Among the physiological and morphological parameters are classifying healthy and diseased plants, assessing the severity of the disease, differentiating the types of pathogens, and identifying the symptoms of biotic stresses at early stages, including during the incubation period, when the symptoms are not visible to the human eye. Plant diseases cause significant economic losses in agriculture around the world as the symptoms of diseases usually appear when the plants are infected severely. Early detection, quantification, and identification of plant diseases are crucial for the targeted application of plant protection measures in crop production. Hence, this can be done by possible applications of hyperspectral sensors and platforms on different scales for disease diagnosis. Further, the main areas of application of hyperspectral sensors in the diagnosis of plant diseases are considered, such as detection, differentiation, and identification of diseases, estimation of disease severity, and phenotyping of disease resistance of genotypes. This review provides a deeper understanding, of basic principles and implementation of hyperspectral sensors that can measure pathogen-induced changes in plant physiology. Hence, it brings together critically assessed reports and evaluations of researchers who have adopted the use of this application. This review concluded with an overview that hyperspectral sensors, as a non-invasive system of measurement can be adopted in early detection, identification, and possible solutions to farmers as it would empower prior intervention to help moderate against decrease in yield and/or total crop loss.

Prevention of Oak Wilt by Tree Injection of Culture Suspension of an Antifungal Microorganism, Streptomyces blastmyceticus against Oak Wilt Fungus, Raffaelea quercus-mongolicae

  • Lee, Jin Heung;Hong, A Reum;Yun, Ji Ho;Seo, Sang Tae;Lee, Jong Kyu
    • Journal of Forest and Environmental Science
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    • v.34 no.5
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    • pp.376-381
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    • 2018
  • For the control of oak wilt caused by Raffaelea quercus-mongolicae, an antifungal microorganism, Streptomyces blastmyceticus, was used as a potential agent. Culture suspension of S. blastmyceticus was injected into Quercus mongolicae in the research forest of Kangwon National University by $ChemJet^{(R)}$ trunk injection and Macro-infusion at root flare injection. $Alamo^{(R)}$ (a.i., propiconazole 14.5%), a fungicide currently used for the control of oak wilt in USA, was also treated by both methods to compare the efficacy. For preventive efficacy, culture suspension of the pathogen was inoculated at 1 month after injection of either agent. Tested trees were cut at 3 months after treatment, stained with 1% Fuchsin acid, and then non-conductive area (NCA) and re-isolation frequency (RIF) of oak wilt fungus were compared among treatments. While NCA was the highest as 47.3% in pathogen only treatment, it was the lowest as 16.0% in sterilized water treatment by Macro-infusion. NCAs of Alamo treatment by Macro-infusion and ChemJet injection were 25.3% and 32.1%, respectively. NCA of S.blastmyceticus treatment by ChemJet injection was 32.3%, similar with Alamo treatment's by ChemJet injection. All treatments by either injection method showed significantly lower NCA compared to the pathogen only treatment. These results indicate that S. blastmyceticus injection shows the preventive efficacy against oak wilt disease by suppressing the growth of pathogen injected. NCA of Macro-infusion injection of sterilized water was lower as 16.0%, compared to 21.3% of ChemJet injection. It means that Macro-infusion is more effective in translocation of sterilized water than ChemJet injection by even distribution. RIF from wood discs of treated trees showed high in pathogen only treatment, but relatively low in S. blastmyceticus treatment. RIF results were correlated with NCA results. From the above results, it was confirmed that S. blastmyceticus showed preventive efficacy against oak wilt disease by ChemJet trunk or Macro-infusion at root flare injection.

Migration and Attacking Ability of Bursaphelenchus mucronatus in Pinus thunbergii Stem Cuttings

  • Son, Joung A;Jung, Chan Sik;Han, Hye Rim
    • The Plant Pathology Journal
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    • v.32 no.4
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    • pp.340-346
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    • 2016
  • To understand how Bursaphelenchus xylophilus kills pine trees, the differences between the effects of B. xylophilus and B. mucronatus on pine trees are usually compared. In this study, the migration and attacking ability of a non-pathogenic B. mucronatus in Pinus thunbergii were investigated. The distribution of B. mucronatus and the number of dead epithelial cells resulting from inoculation were compared with those of the pathogenic B. xylophilus. Although B. mucronatus is non-pathogenic in pines, its distribution pattern in P. thunbergii was the same as that of B. xylophilus. We therefore concluded that the non-pathogenicity of B. mucronatus could not be attributed to its migration ability. The sparse and sporadic attacking pattern of B. mucronatus was also the same as that of B. xylophilus. However, the number and area of the dead epithelial cells in pine cuttings inoculated with B. mucronatus were smaller than in those cuttings inoculated with B. xylophilus, meaning that the attacking ability of B. mucronatus is weaker than that of B. xylophilus. Therefore, we concluded that the weaker attacking ability of B. mucronatus might be the factor responsible for the non-pathogenicity.

Morphometric Variation in Pine Wood Nematodes, Bursaphelenchus xylophilus and B. mucronatus, Isolated from Multiple Locations in South Korea

  • Moon, Yil-Sung;Son, Joung A;Jung, Chan Sik
    • The Plant Pathology Journal
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    • v.29 no.3
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    • pp.344-349
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    • 2013
  • Intraspecific variation in morphometry of pine wood nematodes Bursaphelenchus xylophilus and B. mucronatus in relation to geographical locations in South Korea was investigated using morphometric characters (body length, a, b and c ratio, stylet length, and spicule length for a male nematode and V (%) value for a female nematode). B. xylophilus was isolated from Pinus thunbergii in Jinju (1998), Ulsan (2000), Yangsan (2000), Mokpo (2001) and Jeju (2004), and from P. densiflora in Gumi (2001). B. mucronatus was isolated from P. thunbergii in Jinju (1991) and from P. densiflora in Milyang (2001). The body length of male and female B. xylophilus had the highest coefficient of variability and showed significant differences among geographical locations. The V (%) value for female B. xylophilus showed the lowest coefficient of variability, changing little with geographical area and host plant. All morphometric characters in B. mucronatus except for stylet length and female body length showed no significant differences between locations or hosts, suggesting they may not be affected by geographical area or host plant.

Systematic Review of Forest Therapy Program for Adult Patients with Diseases (성인 환자의 산림치유 프로그램에 대한 체계적 문헌 고찰)

  • Chae, Young Ran;Lee, Sun Hee
    • Journal of Korean Biological Nursing Science
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    • v.22 no.3
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    • pp.157-171
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    • 2020
  • Purpose: The purpose of this study was to analyze the characteristics and effects of the forest therapy programs for adult patients. Methods: Six databases (PubMed, Cochrane library, CiNii, PsychoInFO, AGRICOL, EMBASE) and six domestic databases were systematically searched with language restrictions of Korean, English, and Japanese. The systematic review was based on the Preferred Reporting Items Systematic Reviews and Meta-Analysis (PRISMA) flow diagram. Results: Twenty five studies met the inclusion criteria. A systematic review identified adult patients classified as 1) disease of the circulatory system, 2) mental and behavioral disorders, 3) malignant neoplasms, 4) etc. (diabetes mellitus, chronic pain). This integrative review showed a positive effect of the forest therapy program for adult patients on physiological indices such as blood pressure, heart rate, heart rate variability, level of stress hormone, and natural killer cells as well as social·psychological indices such as the Profile of Mood States (POMS), anxiety, depression, and quality of life. Conclusion: The results of this study could be useful key principles in developing and applying the forest therapy programs in nursing intervention. Further research should be conducted to develop the forest therapy programs suitable for each patient group and measure its effectiveness.

The Effect of Forest Therapy Program on Stress Reduction in Middle-aged Women (산림치유 프로그램이 중년 여성의 스트레스 저감에 미치는 영향)

  • Yong-Koo Jung;Won-Soep Shin
    • Korean Journal of Environment and Ecology
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    • v.37 no.6
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    • pp.464-472
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    • 2023
  • Middle-aged women experience a lot of physical and mental stress during their developmental cycle. This stress reduces the quality of life because it leads to chronic pain and disease. Forest therapy is attracting attention as an alternative to this. Forest therapy refers to improving human health through the therapeutic elements of forests. Accordingly, this study was conducted to determine whether a sensory insight-based forest therapy program was effective in reducing stress in middle-aged women. For this purpose, middle-aged women who wanted to participate in the forest therapy program were recruited, 20 each were randomly assigned to an experimental group and a control group, and pre- and post-tests were conducted. The forest therapy program consisted of 8 sessions of 6 hours based on sense and insight. The forest therapy program was held at Saryeoni Forest in Jeju, and the measurement tools were compared by measuring perceived stress, leisure satisfaction, and stress index through pulse wave testing. The results of the study showed that the forest therapy program lowered stress and improved leisure satisfaction.