Establishment of the Chickpea Wilt Pathogen Fusarium oxysporum f. sp. cicerisin the Soil through Seed Transmission

S. Pande,M. Sharma,J. Narayana Rao 한국식물병리학회 2007 Plant Pathology Journal Vol.23 No.1

Chickpea wilt caused by Fusarium oxysporum f. sp. ciceris (FOC) is the most destructive disease in India. It is seed-borne as well as soil-borne pathogen. The role of seed-borne FOC in introducing and establishing wilt in FOC free soils is unknown. Using seeds of FOC infected chickpea cultivar K 850, we provided an evidence of establishing wilt disease in the FOC free soils within three crop cycles or seasons. In the first cycle, typical wilt symptoms were observed in 24 pots in 41 days after sowing. These 24 pots were used for second and third cycles without changing the soil. These 24 pots were sown with seeds collected from healthy plants of a susceptible cultivar JG 62, one seed per pot and development of wilt symptom was recorded. Wilt symptoms appeared in all the pots 26 days after sowing in second cycle and in 16 days after sowing in third cycle. On selective medium, all of the wilted plants yielded FOC in all the three cycles indicating that the mortality was due to wilt. FOC propagules on selective medium were 172, 1197, and 2280 g−1 soil at the end of the first, second, and third cycles, respectively. These studies indicated that Fusarium wilt of chickpea is seed-borne and seeds harvested from wilted plants when mixed with healthy seeds can carry the wilt fungus to new areas and can establish the disease in the soil to economic threshold levels within three seasons.

소나무속 6수종 묘목의 소나무재선충병에 대한 포지 저항성 비교

김양길,이다영,김선정,김수비,최배영,심동환,박연일,강규석 한국산림과학회 2023 한국산림과학회지 Vol.112 No.2

Pine wilt disease is caused by the pine wood nematode (Bursaphelenchus xylophilus) and has killed many pine trees in Europe and Northeast Asia, including South Korea. Resistance to pine wilt disease varies among species. Previous studies were mostly conducted in nature or greenhouses and only a few in test fields. In this study, seedlings of six pine species (Pinus thunbergii, P. koraiensis, P. densiflora, P. parviflora, P. rigida × P. taeda, and P. strobus) were artificially inoculated by pine wood nematodes in the test field. The Wilt Index was measured every 2 weeks after inoculation in addition to the mortality rate, detection rate, and pine wood nematode concentration measurement after 24 weeks. The pine wilt disease mortality rates were P. thunbergii (80%), P. koraiensis (77.8%), P. densiflora (62.5%), and P. parviflora (22.0%), and both P. rigida × P. taeda and P. strobus survived. The pine nematode detection rates were the same among the species except for P. rigida × P. taeda pine (22.2%). High Wilt-Index values were obtained for P. thunbergii, P. koraiensis, and P. densiflora, which had mortality rates higher than the other species. Furthermore, there were no significant differences in the Wilt Indexes between P. parviflora, P. rigida × P. taeda, P. strobus, and the control group. Statistically, P. thunbergii and P. koraiensis showed high susceptibility to pine wilt disease, P. densiflora and P. parviflora showed moderate susceptibility, and P. rigida × P. taeda and P. strobus showed apparent resistance. These results provide basic data for pine wood nematode resistance breeding or as evidence of the need for afforestation of P. rigida × P. taeda and P. strobus.

Carbon and nitrogen status in litterfall of a red pine stand with varying degrees of damage from pine wilt disease

Kim, Choon-Sig,Jeong, Jae-Yeob,Cho, Hyun-Seo,Lee, Kwang-Soo,Park, Nam-Chang The Ecological Society of Korea 2011 Journal of Ecology and Environment Vol.34 No.2

We evaluated the carbon (C) and nitrogen (N) status of litterfall in a natural red pine (Pinus densiflora) stand damaged by pine wilt disease in Jinju City, which was one of the areas severely affected by the disease in Korea. A significant correlation (P < 0.05) was found between tree density and basal area and the C and N status of litterfall components, but C and N status was not correlated with mean diameter at breast height in the pine wilt disease stands. Needle-litter C and N concentrations were linearly related (P < 0.05) to basal area in pine wilt disease stands. Needle-litter C concentration decreased with a decrease in damage intensity due to pine wilt disease, whereas litter N concentration increased with an increase of basal area in pine wilt disease stands. The linear regression equations developed for litterfall C and N inputs were significant (P < 0.05), with basal area accounting for 50-86% of the variation, except for cone and flower litter. The results indicated that the incidence of pine wilt disease could impact the quality and quantity of C and N in litterfall of pine stands suffering from pine wilt disease.

Carbon and nitrogen status in litterfall of a red pine stand with varying degrees of damage from pine wilt disease

김춘식,정재엽,조현서,이광수,박남창 한국생태학회 2011 Journal of Ecology and Environment Vol.34 No.2

We evaluated the carbon (C) and nitrogen (N) status of litterfall in a natural red pine (Pinus densiflora) stand damaged by pine wilt disease in Jinju City, which was one of the areas severely affected by the disease in Korea. A significant correlation (P < 0.05) was found between tree density and basal area and the C and N status of litterfall components, but C and N status was not correlated with mean diameter at breast height in the pine wilt disease stands. Needle-litter C and N concentrations were linearly related (P < 0.05) to basal area in pine wilt disease stands. Needle-litter C concentration decreased with a decrease in damage intensity due to pine wilt disease, whereas litter N concentration increased with an increase of basal area in pine wilt disease stands. The linear regression equations developed for litterfall C and N inputs were significant (P < 0.05), with basal area accounting for 50-86% of the variation, except for cone and flower litter. The results indicated that the incidence of pine wilt disease could impact the quality and quantity of C and N in litterfall of pine stands suffering from pine wilt disease.

Development of Mass Capturing Device for Platypus koryoensis, an Insect Vector of Oak Wilt Disease in Korea

Yoon-Mi Jeon,Young-Woo Nam,Sungwoong Kim,Hwa-Jeong Yeom,Hyo-Rim Lee,Sang-Hyun Koh,Il-Kwon Park 한국응용곤충학회 2014 한국응용곤충학회 학술대회논문집 Vol.2014 No.04

Oak wilt disease caused by Raffaelea quercus-mongolicae was firstly reported at Sungnam city, Gyeonggi province, Korea, in 2004, and spread to several area of Korean peninsula. Raffaelea quercus-monglicae was transferred by ambrosia beetle, Platypus koryoensis, and caused oak wilt disease. Because oak wilt disease is mediated by ambrosia beetle, Platypus koryoensis, control of this disease concentrates on managing the ambrosia beetle population. Until now, several control methods such as felling and fumigation of dead oak trees with metham sodium, sticky-roll trap for catching emerged or attacking beetles, and oak tree logs for attraction of ambrosia beetle have been mainly used to control oak wilt disease in Korea. Although effective, current control methods have many side effects. Felling of oak tree is very difficult and dangerous to workers. To reduce the side effects of conventional control methods, new and safe types of control method for managing the ambrosia beetle populations are essential. In this study, we investigated the number of caught beetles, effect of height and direction of collection bottles by using newly developed mass capturing device for P. koryoensis to evaluate the effectiveness of this device as practical use in field.

지상용 초분광 카메라를 이용한 소나무재선충병 감염목 분광 특성 분석

이정빈 ( Jung Bin Lee ),김은숙 ( Eun Sook Kim ),이승호 ( Seung Ho Lee ) 대한원격탐사학회 2014 大韓遠隔探査學會誌 Vol.30 No.5

본 연구에서는 소나무재선충병이 확산되어 있는 거제도를 대상으로 소나무재선충병 감염목 특성 분석을 위하여 지상용 초분광 카메라를 활용하여 2012년과 2013년에 걸쳐 대상 임목을 촬영하였다. 영상 촬영은 소나무재선충병이 확산되는 시기인 6~9월 기간에 개체목 단위와 임분 단위로 구분하여, 개체목은 인위적으로 소나무재선충병을 주입한 공시목을 대상으로 실시하고, 임분은 소나무재선충병이 자연적으로 발생한 임분을 대상으로 실시하였다. 수백개의 파장대역 정보를 담고 있는 지상용 초분광 영상을 이용하여 소나무재선충병 감염단계에서부터 고사단계에 이르기까지 파장대역 변화와 특성분석을 진행하였다. 그 결과, 전체 파장대역 중 적색영역(550~700 nm)의 변화가 두드러지게 나타났으며 특히, 688 nm 전후의 파장대역에서 고사목과 정상목간의 가장 많은 변화폭이 관측되었다. 향후 초분광 항공사진을 활용한 소나무재선충병 감염목 탐지 활용가능성 판단을 위하여 개체목 단위 촬영영상보다 대면적의 임분단위 촬영영상을 활용한 분석이 진행되었다. 가장 큰 변화를 나타낸 688 nm 구간의 식생지수 활용을 위하여 Normalized Difference Vegetation Index(NDVI), Red Edge Normalized Difference Vegetation Index(reNDVI), Photochemical Reflectance Index(PRI), Anthocyanin Reflectance Index 2(ARI2) 식생지수에 대한 비교 분석을 실시하였다. 감염목 탐지에 효율성이 높다고 판단되는 지수는 NDVI와 reNDVI으로 나타났으며 688 nm를 NDVI 와 reNDVI식 적색영역에 적용한 결과 688 nm를 포함하여 적용한 지수값에서 감염진행에 따른 가장 큰 변화폭을 나타내어 감염목 탐지에 가장 효율적인 것으로 판단되었다. In this paper spectral characteristics and spectral patterns of pine wilt disease at different development stage were analyzed in Geoje-do where the disease has already spread. Ground-based hyperspectral imaging containing hundreds of wavelength band is feasible with continuous screening and monitoring of disease symptoms during pathogenesis. The research is based on an hyperspectral imaging of trees from infection phase to witherer phase using a ground based hyperspectral camera within the area of pine wilt disease outbreaks in Geojedo for the analysis of pine wilt disease. Hyperspectral imaging through hundreds of wavelength band is feasible with a ground based hyperspectral camera. In this research, we carried out wavelength band change analysis on trees from infection phase to witherer phase using ground based hyperspectral camera and comparative analysis with major vegetation indices such as Normalized Difference Vegetation Index (NDVI), Red Edge Normalized Difference Vegetation Index (reNDVI), Photochemical Reflectance Index (PRI) and Anthocyanin Reflectance Index 2 (ARI2). As a result, NDVI and reNDVI were analyzed to be effective for infection tree detection. The 688 nm section, in which withered trees and healthy trees reflected the most distinctions, was applied to reNDVI to judge the applicability of the section. According to the analysis result, the vegetation index applied including 688 nm showed the biggest change range by infection progress.

무인항공기를 이용한 딥러닝 기반의 소나무재선충병 감염목 탐지

임언택(Lim, Eon Taek),도명식(Do, Myung Sik) 대한토목학회 2021 대한토목학회논문집 Vol.41 No.3

1988년 부산에서 처음 발병된 소나무재선충병(Pine Wilt Disease, PWD)은 우리나라 소나무에 막대한 피해를 주고 있는 심각한 질병이다. 정부에서는 2005년 소나무재선충병 방제특별법을 제정하고 피해지역의 소나무 이동 금지와 방제를 시행하고 있다. 하지만, 기존의 예찰 및 방제 방법은 산악지형에서 동시다발적이고 급진적으로 발생하는 소나무재선충병을 줄이기에는 물리적, 경제적 어려움이 있다. 따라서 본 연구에서는 소나무재선충병 감염의심목을 효율적으로 탐지하기 위해 무인항공기를 이용한 영상자료를 바탕으로 딥러닝 객체인식 예찰 방법의 활용가능성을 제시하고자 한다. 소나무재선충병 피해목을 관측하기 위해서 항공촬영을 통해 영상 데이터를 획득하고 정사영상을 제작하였다. 그 결과 198개의 피해목이 확인되었으며, 이를 검증하기 위해서 접근이 불가한 급경사지나 절벽과 같은 곳을 제외하고 현장 조사를 진행하여 84개의 피해목을 확인할 수 있었다. 검증된 데이터를 가지고 분할방법인 SegNet과 검출방법인 YOLOv2를 이용하여 분석한 결과 성능은 각각 0.57, 0.77로 나타났다. 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.

위치데이터 기반의 산림병해충 재해의 확산분석 및 평가

이성희,이영진 한국지적정보학회 2019 한국지적정보학회지 Vol.21 No.3

The location based information on the forest disasters collected by the Forest Disasters Integrated Management System(FDIMS) is an important data that can be analyzed based on map data on the Prediction for the Forest Disaster directions and patterns that are spreading to national forest land. The purpose of this study is to identify the possibility of dissemination prediction of forest disasters by analyzing spatial distribution of insect vector feed or habitat as the location information of a pine wilt disease during year 2017. The result of study, in totally, 80% of the diseases occurred in Pinus densiflora forests, Pinus koraiensis forests, Pinus thunbergii forests and mixed forests, and 20% of the diseases occurred in other regions. It has been confirmed that pine wilt disease mainly occurs in Pinus densiflora forests, Pinus koraiensis forests, Pinus thunbergii forests, and occurs in Pinus densiflora, Pinus koraiensis, Pinus thunbergii in regions where various species gather The Pine wilt disease is one of the most damaging the forest disasters among forest pess and disease. If FDIMS collect factors related to anthropogenic migration, it is expected to upgrade the possibility of dissemination prediction of forest disasters. 산림재해통합관리시스템에서 수집된 산림병해충 재해의 발생 위치정보는 전국 임야에 확산되어 가는 산림병해충 재해의 확산 방향과 패턴을 지도데이터 기반으로 분석할 수 있는 중요한 자료이다. 본 연구에서는 2017년도 1년 동안에 산림병해충인 재선충병이 발생한 위치 정보를 기반으로 자연적인 원인에 의한 매개충의 먹이 또는 서식처에 따른 분포를 공간분석하여 산림재해에 대한 확산예측 가능성을 확인하는데 있다. 분석결과, 전체 발생 비율을 종합해 보면 임야를 수종으로 구분하였을 때 잣나무림, 소나무림, 곰솔림, 혼효림에서 80%가 발생하였고, 그 밖에 지역에서 20%가 발생하였다. 주로 집단으로 구성된 소나무림과 잣나무림, 곰솔림에서 재선충병이 발생하고 여러 수종이 모여서 자라는 지역인 소나무와 잣나무, 곰솔에서 발생하는 것으로 확인되었다. 소나무재선충병은 산림재해 중 하나인 산림병해충 중에서 가장 피해 규모가 큰 재해이므로, 앞으로 인위적 이동과 관계되는 인자를 수집하고 이를 분석한다면 확산예측의 가능성이 높아질 것으로 기대된다.

Age and life history of an old black pine (Pinus thunbergii Parl.) tree at Cave Temple on Mt. Sanbangsan, Jeju Island, Korea, died due to pine wilt disease in 2013

Kim, Eun-Shik,Lee, So-Hee,Kim, Joon-Bum,Kim, Chan-Soo,Yoon, Bong-Taek,Lee, Sung-Hoon,Lim, Wontaek,Kim, Hyojung,Choi, Junghwan,Han, Hyerim The Ecological Society of Korea 2015 Journal of Ecology and Environment Vol.38 No.1

In 2013, the epidemics of pine wilt disease caused by the pine wood nematodes (Bursaphelenchus xylophilus) resulted in damages to the forests of black pine (Pinus thunbergii Parl.) trees in Jeju Island, Korea. Among the affected trees, an old black pine tree at Cave Temple on Mt. Sanbangsan was included and died due to the prevalence of pine wilt disease. The tree was on Mt. Sanbangsan, which was designated as a National Scenic Place with the Number 77 and was believed to be more than 400 years old in age. By examining the disc of the tree stem obtained from the height of 2 m, we counted the tree rings from 4 different directions and cross-dated the readings by comparing the records of drought simulated from the BROOK Model. Our analysis indicates that the tree seems to have grown since late 1860s. Contrary to the belief of the general public, we can conclude that the age of the tree was estimated to be at maximum 150 years, which means that it was not the same old tree as was shown in the painting of the Tam-Ra-Sun-Ryeok-Do (an old painting book for the Inspection Tour of Jeju Island) published in 1702. Discussion was extended to the life history of the tree in growth and leaning and the measures to protect the tree species from the damages of the pine wilt disease caused by pine wood nematodes.

한국에서 분리한 Ralstonia solanacearum에 대한 순계 토마토의 병 반응과 고온에서의 발병

이형주,이선우,조은정,김남희,채영 한국식물병리학회 2011 식물병연구 Vol.17 No.3

This study evaluated disease resistance responses of pure lines of tomato plants at various temperature conditions against Ralstonia solanacearum strains isolated from Korea. Evaluation of six tomato lines with various strains of R. solanacearum showed that many strains can infect the resistant lines of tomato plants previously known as highly tolerant to bacterial wilt. One of the most virulent strains, SL341 (race 1 and biovar 4) caused severe infection on all six tomato lines, irrespective of temperature. In contrast, a moderately virulent strain SL1944 (race 1, biovar 4) showed the remarkable difference in disease progress on some resistant lines dependent on temperature. Moneymaker and Bonny Best were susceptible to SL1944 at all tested conditions with different temperature. However, tomato lines, such as Hawaii 7998, Hawaii 7996, Bblocking which were previously known as highly tolerant lines, were severely infected by SL1944 at relatively higher temperature (35℃ for 14 hr light and 28℃ for 10 hr dark cycle). The disease progress at high temperature was much faster than those at low temprature on the same tomato line and those on Moneymaker and Bonny Best at the same high temprature. This result suggested that R. solanacearum strains isolated in Korea were highly virulent to bacterial wilt resistant tomato lines and some strains may cause severe infection on those plants at higher temperature. Ralstonia solanacearum에 의해 발생하는 토마토 풋마름병에 대하여 저항성으로 알려진 토마토 순계 품종의 국내 병원균에 대한 저항성 반응을 온도별로 평가하였다. 한국에서 분리된 R. solanacearum 균주로 토마토 순계 6 품종의 저항성을 평가한 결과 기존에 저항성으로 알려진 토마토 순계들이 한국 분리균주에 대하여는 대부분 저항성을 유지하지 못하였다. 병원성이 강한 균주인 SL341 (race 1, biovar 4) 균주는 검정한 대부분의 품종에서 온도에 관계없이 강한 병원성을 보였다. 반면, 담배에서 분리된 균주인 SL1944(race 1, biovar 4)은 온도에 따라 발병진전이 현저하게 차이가 났다. Moneymaker와 Bonny Best와 같은 품종은 온도에 관계없이 SL1944에 대하여 감수성이었다. 그러나, 풋마름병 저항성 품종으로 알려진 Hawaii 7998, Hawaii 7996, B-blocking 품종은 오히려 상대적으로 고온인 조건(35℃에서 14시간 명조건과 28℃에서 10시간 암조건)에서 급격히 발병하였다. 병 진전은 동일한 품종의 낮은 온도에서 병 진전이나 Moneymaker나 Bonny Best 같은 품종에서 동일한 고온 조건의 발병에 비해 눈에 띄게 빨랐다. 본 연구결과는 국내에서 분리된 균주들이 기존에 저항성 토마토 품종을 가해할 수 있으며 고온조건에서는 품종의 저항성 붕괴의 가능성으로 급격한 풋마름병이 유발될 수 있음을 제시한다.