• Title/Summary/Keyword: pine wilt disease (PWD)

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Environmental Factors Influencing on the Occurrence of Pine Wilt Disease in Korea (우리나라에서 소나무재선충병 초기 발생지의 환경 특성 분석)

  • Lee, Dae-Seong;Nam, Youngwoo;Choi, Won Il;Park, Young-Seuk
    • Korean Journal of Ecology and Environment
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    • v.50 no.4
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    • pp.374-380
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    • 2017
  • Pine wilt disease (PWD) is one of the hazardous pine tree diseases in whole world. In Korea, PWD has been spreading since it was first observed in Busan in 1988. Dispersion of PWD is mainly mediated by its vectors such as Japanese pine sawyer. In this study, we characterized environmental condition including meteorological factors, geographical factors, and land use factors influencing on the occurrence of PWD. The occurrence data of PWD were collected at 153 sites where were the initial occurrence sites of PWD in local government regions such as city, Gun, or Gu scale. We used Akaike Information Criterion (AIC) to evaluate the relative importance of environmental variables on the discrimination of occurrence or absence of PWD. The results showed that altitude, slope, and distance to road were the most influential factors on the occurrence of PWD, followed by distance to building. Finally, our study presented that human activities highly influenced on the long term dispersal of PWD.

Insecticidal Activity of Japanese Pine Sawyer (Monochamus alternatus) and Pine Sawyer (Monochamus saltuarius) Using Abamectin and Emamectin benzoate

  • Lee, Dong-Hyeon;Suh, Dong Yeon;Seo, Sang-Tae;Lee, Sang-Hyun
    • Journal of Forest and Environmental Science
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    • v.36 no.3
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    • pp.255-258
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    • 2020
  • Pine wilt disease (PWD) caused by pine wood nematode (PWN), Bursaphelenchus xylophilus, which is transmitted by Monochamus alternatus and M. saltuarius, is a serious threat to coniferous forests in the Northern Hemisphere, including Korea. The efficacy of abamectin and emamectin benzoate for preventing the PWD in the field and its effect on the vectors Monochamus alternatus and M. saltuarius (Coleoptera: Cerambycidae) were evaluated. An experimental plot was delimited, of which consists of Japanese red pine (Pinus densiflora) forest in South Korea, and trunk injection trials were made with abamectin and emamectin benzoate. Branches of each tree were collected, and are subsequently subjected to the analysis of residues for both nematicides. Results obtained in this study showed that abamectin and emamectin benzoate showed over 90% mortality at the recommended concentration after 6 days and 8 days, respectively. Consequently, it was found that both insecticides have a higher effect on the susceptibility and persistence of two vectors of PWD, M. alternatus and M. saltuarius feeding on branches of the trees, and its application by trunk injection is confirmed as an option for pine wilt disease management programs in Korea.

Analysis of Occurrence Characteristics of Pine Wilt Disease in Korea based on Monitoring Data from 2016 to 2018 (국내 소나무재선충병 발생 특성 분석: 2016~2018년 예찰데이터를 기반으로)

  • Sim, Sang Taek;Lee, Seong-Hee;Lee, Cha Young;Nam, Youngwoo
    • Journal of Korean Society of Forest Science
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    • v.110 no.2
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    • pp.280-288
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    • 2021
  • Understanding the occurrence characteristics of pine wilt disease (PWD) is essential for determining a suitable strategy to minimize the damage caused by PWD. Thus, in this study, we characterized various environmental conditions, including meteorological factors, geographical factors, and artificial factors influencing the occurrence of PWD. The occurrence data of PWD from May 2016 to April 2018 and spatial data of various environmental factors, including natural and anthropogenic factors, were collected. We evaluated the relative contribution of the environmental variables on the number of dead pine trees by PWD. In this study, among the 17 natural and anthropogenic factors, the factors affecting the occurrence of dead trees by PWD were verified. The results showed that altitude and temperature from May to August, among natural factors, and distance to building and forest road among anthropogenic factors were the most influential factors on the occurrence of PWD.

Study on the Damage by Pine Wood Nematode in Black Pine Trees

  • Ha, Man-Leung;Lee, Chong-Kyu
    • Journal of Forest and Environmental Science
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    • v.33 no.2
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    • pp.105-112
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    • 2017
  • The distribution and form of pine wood nematode (PWN) were investigated in Jinju-si and Sacheon-si areas, where infested with pine wilt disease (PWD). The average PWN population per g of the tubulation part in the wilted Japanese balck pine were 381.2 and 341 in Jinju-si and Sacheon-si, respectively. The PWN population per g of affected Japanese black pine with wilt rate below 60% were 556 and 518 in Jinju-si and Sacheon-si, respectively. The ratios of PWN and other plant-parasitic nematode in the wilted Japanse black pines were 48% vs. 52% in Jinju-si and 53% vs. 47% in Sacheon-si after exposure to PWD for 1 year. The survivorship of pine wood nematode in the sampled trees after 1 year was 0-10% in the Jinju-si area and 5-20% detected in the Sacheon-si area. In the forest areas affected by PWN, the highest survival rates were 37.2% and 39.8% at 25 cm diameter at breast height (DBH) in Jinju-si and Sacehon-si, respectively, while the highest wilt rates were 30.5% and 28.3% at 30 cm DBH in Jinju-si and Sacehon-si, respectively.

Pine Wilt Disease Detection Based on Deep Learning Using an Unmanned Aerial Vehicle (무인항공기를 이용한 딥러닝 기반의 소나무재선충병 감염목 탐지)

  • Lim, Eon Taek;Do, Myung Sik
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.41 no.3
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    • pp.317-325
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    • 2021
  • Pine wilt disease first appeared in Busan in 1998; it is a serious disease that causes enormous damage to pine trees. The Korean government enacted a special law on the control of pine wilt disease in 2005, which controls and prohibits the movement of pine trees in affected areas. However, existing forecasting and control methods have physical and economic challenges in reducing pine wilt disease that occurs simultaneously and radically in mountainous terrain. In this study, the authors present the use of a deep learning object recognition and prediction method based on visual materials using an unmanned aerial vehicle (UAV) to effectively detect trees suspected of being infected with pine wilt disease. In order to observe pine wilt disease, an orthomosaic was produced using image data acquired through aerial shots. As a result, 198 damaged trees were identified, while 84 damaged trees were identified in field surveys that excluded areas with inaccessible steep slopes and cliffs. Analysis using image segmentation (SegNet) and image detection (YOLOv2) obtained a performance value of 0.57 and 0.77, respectively.

Genomic Insights into Nematicidal Activity of a Bacterial Endophyte, Raoultella ornithinolytica MG against Pine Wilt Nematode

  • Shanmugam, Gnanendra;Dubey, Akanksha;Ponpandian, Lakshmi Narayanan;Rim, Soon Ok;Seo, Sang-Tae;Bae, Hanhong;Jeon, Junhyun
    • The Plant Pathology Journal
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    • v.34 no.3
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    • pp.250-255
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    • 2018
  • Pine wilt disease, caused by the nematode Bursaphelenchus xylophilus, is one of the most devastating conifer diseases decimating several species of pine trees on a global scale. Here, we report the draft genome of Raoultella ornithinolytica MG, which is isolated from mountain-cultivated ginseng plant as an bacterial endophyte and shows nematicidal activity against B. xylophilus. Our analysis of R. ornithinolytica MG genome showed that it possesses many genes encoding potential nematicidal factors in addition to some secondary metabolite biosynthetic gene clusters that may contribute to the observed nematicidal activity of the strain. Furthermore, the genome was lacking key components of avermectin gene cluster, suggesting that nematicidal activity of the bacterium is not likely due to the famous anthelmintic agent of wide-spread use, avermectin. This genomic information of R. ornithinolytica will provide basis for identification and engineering of genes and their products toward control of pine wilt disease.

Early Detecting Damaged Trees by Pine Wilt Disease Using DI(Detection Index) from Portable Near Infrared Camera (휴대용 근적외선 카메라로부터 얻어진 DI(Detection Index)를 이용한 소나무 재선충 피해목의 조기감별)

  • Kim, Moon-Il;Lee, Woo-Kyun;Kwon, Tae-Hyub;Kwak, Doo-Ahn;Kim, You-Seung;Lee, Seung-Ho
    • Journal of Korean Society of Forest Science
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    • v.100 no.3
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    • pp.374-381
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    • 2011
  • The purpose of this study is to examine the possibility of early detection of Pine Wilt Disease (PWD) using NDVI (Normalized Difference Vegetation Index) from ADC (Agricultural Digital Camera) imageries. The PWD induces the different patterns of reduction of NDVI between healthy trees and infected trees, due to the withered leaves on the infected trees. Based on these phenomena, the DI showing the NDVI variations of trees by time series was employed to detect the infected trees. To find out the differences of DI level between normal and infected trees, DIs of trees from May to August in 2007 were calculated and these were analyzed with GLM (General Linear Models) in SAS 9.2. As a result, the difference of DI between in June and August shows the most significant level (0.0001). The discriminant analysis was performed between normal and infected trees, using the DI of June and August. As the result, hit ratio of trees and the accuracy of grouping with Jack-knife method were shown 71.9% and 73.5%, respectively. These results showed that the DI is effective to detect the trees infected by the PWD and it is useful to prevent the PWD.

Selection and Characterization of Bacillus licheniformis MH48 for the Biocontrol of Pine Wood Nematode (Bursaphelenchus xylophilus) (소나무재선충 생물학적 방제를 위한 Bacillus licheniformis MH48의 선발 및 특성 규명)

  • Jeong, Min-Hae;Yang, Seo-Young;Lee, Yong-Sung;Ahn, Young-Sang;Park, Yun-Serk;Han, Hye-rim;Kim, Kil-Yong
    • Journal of Korean Society of Forest Science
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    • v.104 no.3
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    • pp.512-518
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    • 2015
  • Pine wilt disease (PWD) caused by pine wood nematode, Bursaphelenchus xylophilus, has become the most serious threat to pine trees in Korea. This study was subjected to investigate effective biological control agent against PWD. To select nematocidal bacteria against PWD, Bacillus licheniformis MH48 was selected among five bacteria due to its high nematocidal potential. B. licheniformis MH48 was tested for cell growth and protease activity to evaluate its nematicidal potential. In the B. licheniformis MH48, cell numbers were highest three days after incubation, while protease activity was highest after seven days. In the effect of different concentrations of B. licheniformis MH48 culture broth against B. xylophilus, 20% concentration of culture broth showed approximately 80% of pine wood nematode mortality compared to the control. Especially, pine wood nematode's cuticle layers were degraded two days after treatment of B. licheniformis MH48 culture broth. The present study suggests that B. licheniformis MH48 can be one of the potential biocontrol candidates against pine wood nematode due to its ability to produce protease.

A Study on IoT based Forensic Policy for Early Warning System of Plant & Animal as A Subsystem of National Disaster Response and Management (국가재난형 동·식물 조기경보시스템을 위한 IOT기반의 포렌식 정책 연구)

  • Chung, Ho-jin;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.295-298
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    • 2014
  • In recently, a climatic change(such as subtropical climate and frequent unusual high temperature) and the open-trade policies of agricultural & livestock products are increasing the outbreak risk of highly pathogenic avian influenza(HPAI) and foot and mouth disease(FMD), and accordingly the socio-economic damage and impacts are also increasing due to the cases such as damage from the last 5 times of FMD outbreak(3,800 billion won), from 10 years public control cost of Pine Wilt Disease (PWD)(238.3 billion won), and from the increased invasive pests of exotic plant like isoptera. Therefore, the establishment of new operation strategy of IoT(Internet of Things) based satellite early warning system(SEWS) for plants and animals as a subsystem of national disaster response and management system is being required, where the forensic technology & measures should be applied as a government policy to estimate the post compensation and to carry out the legal responsibility.

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Analysis of Pinewood Nematode Damage Expansion in Gyeonggi Province Based on Monitoring Data from 2008 to 2015 (경기도의 소나무재선충병 피해 확산 양상 분석: 2008 ~ 2015년 예찰 데이터를 기반으로)

  • Park, Wan-Hyeok;Ko, Dongwook W.;Kwon, Tae-Sung;Nam, Youngwoo;Kwon, Young Dae
    • Journal of Korean Society of Forest Science
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    • v.107 no.4
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    • pp.486-496
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    • 2018
  • Pine wilt disease (PWD) in Gyeonggi province was first detected in Gwangju in 2007, and ever since has caused extensive damage. Insect vector and host tree in Gyeonggi province are Monochamus saltuarius and Pinus koraiensis, respectively, which are different from the southern region that consist of Monochamus alternatus and Pinus densiflora. Consequently, spread and mortality characteristics may be different, but our understanding is limited. In this research, we utilized the spatial data of newly infected trees in Gyeonggi province from 2008 to 2015 to analyze how it is related to various environmental and human factors, such as elevation, forest type, and road network. We also analyzed the minimum distance from newly infected tree to last year's closest infected tree to examine the dispersal characteristics based on new outbreak locations. Annual number of newly infected trees rapidly increased from 2008 to 2013, which then stabilized. Number of administrative districts with infected trees was 5 in 2012, 11 in 2013, and 15 in 2014. Most of the infected trees was Pinus koraiensis, with its proportion close to 90% throughout the survey period. Mean distance to newly infected trees dramatically decreased over time, from 4,111 m from 2012 to 2013, to approximately 600 m from 2013 to 2014 and 2014 to 2015. Most new infections occurred in higher elevation over time. Distance to road from newly infected trees continuously increased, suggesting that natural diffusion dispersal is increasingly occurring compared to human-influenced dispersal over time.