Occurrence and epidemiology of crown gall caused by A. tumefaciens in persimmon tree was investigated. Persimmon tree was more sensitive to crown gall disease than peach and jujube tree. Over 80% persimmon trees were infected to crown gall in all investigated region with no relation to planted years. Yield of infected tree was severely decreased to 54%. Incidence of crown gall in nursery field of persimmon tree was also severe and the infection rate of persimmon seedlings collected from market was 34%. It was guessed that the primary inoculum of crown gall caused by A. tumefaciens is infected persimmon seedlings.
This study aimed to develop a deep neural network model for predicting the soil water content and bulk density of soil based on features extracted from in situ soil surface images. Soil surface images were acquired using a Canon EOS 100d camera. The camera was installed in the vertical direction above the soil surface layer. To maintain uniform illumination conditions, a dark room and LED lighting were utilized. Following the acquisition of soil surface images, soil samples were collected using a metal cylinder to obtain measurements of soil water content and bulk density. Various features were extracted from the images, including color, texture, and shape features, and used as inputs for both a multiple regression analysis and a deep neural network model. The results show that the deep neural network regression model can predict soil water content and bulk density with root mean squared error of 1.52% and 0.78 kN/m3. The deep neural network model outperformed the multiple regression analysis, achieving a high accuracy for predicting both soil water content and bulk density. These findings suggest that in situ soil surface images, combined with deep learning techniques, can provide a fast and reliable method for predicting important soil properties.
국제해사기구(IMO) 해양환경보호위원회(MEPC)의 회의 결과 새로이 제정된 선박의 밸러스트 수 처리 기준(D2규정)에 부합하는 밸러스트 수 처리 공정의 개발이 전 세계적으로 활발히 진행되고 있다. 밸러스트 수 처리 시스템에서 여과공정의 경우 $10{\mu}m$ 이상의 미세물질을 시간당 500톤 이상의 대용량으로 처리해야하며, 선내의 좁은 공간에 최소의 부피로 설계되어야 하는 제한요소가 전제되므로 실용적인 처리장치의 개발이 매우 어렵다. 본 연구에서는 이러한 제한요소를 극복하기 위한 방안으로 차세대 자기 역세형 메디아 필터에 관한 연구를 추진하게 되었으며 여재층의 두께에 따른 압력과 유량의 측정변화와 어느 크기의 입자까지 여과할 수 있는지 확인하기 위하여 진공여과 후 여과수 중의 입자의 입도 분석실험을 수행한 결과 원하는 성능옳 얼기 위한 각 메디아별 입자크기와 여재층의 두께를 구할 수 있었다. As the conference result of MEPC in IMO, development of ballast water management system corresponding to newly established ballast water management standard (D2 regulation) of shipping is being made an active progress over the whole world. The ballast water management system should treat particular material of more than $10{\mu}m$ in high capacity of more than 500t per hour in the event of filtration process. Also, it is very difficult to develop a practical management system since a limited element which a narrow space of the ship should be designed in the minimal volume is assumed. Therefore, the study promoted a study on the next generation auto back wash media filter to overcome such a limited element. Also, the study performed pressure and flux measurement test followed by thickness of each filter medium for filtration by each size to grasp a relation between absorption and pressure at the time of vacuum filtration and mechanical analysis and turbidity change observation of filtered water after vacuum filtration.
구미시 옥성면 국화 집단재배지에서 국화 생육불량 원인을 조사한 결과, 대부분의 국화(98%)가 뿌리혹선충(Meloidogyne hapla)에 감염되어 있었다. 주요 3품종 중 뿌리에 생긴 난낭의 수는 뿌리 1 g당 'Ardilo' 3.3개, 'Euro' 6.5개, 'Monarisa' 17개로 'Monarisa' 품종에서 난낭 발생이 많았고 'Ardilo' 품종에서 적었다. 국화의 초장, 화경장, 줄기 굵기, 엽수, 착화수, 첫 번째 화수장, 절화중, 엽록소(SPAD), 뿌리무게, 뿌리혹선충의 난낭수 사이의 상관관계를 조사한 결과 난낭수와 엽록소 함량(SPAD) 사이에 부의 상관이 인정되었다(r = -0.418, p = 0.059; r = -0.463, p=0.040). 식물 생육은 키가 크고 화경장이 길수록 꽃수, 잎수가 많고 꽃 무게도 무거웠다(p < 0.05). Over 98% of Dendranthema x grandiflorum plants growing under a glasshouse in Gumi, Korea were infested with Meloidogyne hapla. Dendranthema x grandiflorum cv, 'Ardilo' had fewer eggmass (3.3/g root), followed by cv. 'Euro' (6.5), and cv. 'Monarisa' had the most eggmasses(17). The coefficient correlation between plant growth and nematode reproduction(number of eggmass per plant) indicated that nematode reduced chlorophyll content in leaf (r = -0.418, p = 0.059; r = -0.463, p = 0.040). Number of flowers, number of leaves and stem height to flower were positively correlated with flower weight(p < 0.05).
고구마 뿌리혹선충(Meloidogyne incognita)의 시설재배 오이에 대한 경제적 피해한계를 조사하기 위하여 비닐하우스 내에 합판으로 만든 박스($30{\times}40{\times}15cm$)를 묻고 박스 내 토양 $100cm^3$당 뿌리혹선충 유충의 밀도를 0, 10, 30, 100, 300, 600마리로 조정된 토양을 넣었다. 각 박스에는 '장수신토좌'에 접붙인 '슈퍼만촌'오이 23일 묘를 8월 1일 1포기씩 심고 11월까지 각 구당 오이 수확량을 조사하였다. 뿌리혹선충의 유충밀도와 수량과의 회귀식은 $Y=0.82-0.04{\cdot}Log_{10}$(Pi+1)로 방제 비용을 감안한 경제적 피해 허용 수준은 정식전 뿌리혹선충 유충의 밀도가 토양 $1,000cm^3$당 5마리이면 살선충제 입제 살포가 경제적이고, 유충의 밀도가 토양 $1,000cm^3$당 25마리 이상이면 훈증제를 처리하는 것도 고려해 볼 수 있다. 오이 시설재배시 뿌리혹선충의 피해를 방지하기 위해서는 최소한 정식 수개월 전에 미리 토양 선충 밀도를 조사해야 할 것이다. To determine the economic threshold level of Meloidogyne incognita on cucumber in greenhouse conditions, cucumber seedlings(Cucumis sativa L. cv. 'Super Manchon') grafted on 'Jangsushintozoa'(Cucurbita maxima x Cu. moschata) were planted in wooden boxes($30{\times}40{\times}15cm,\;L{\times}W{\times}D$) under a plastic house in August 01 and harvested from Sep. 01-Oct. 30, 2006. The initial nematode population densities(Pi) in the wooden boxes were adjusted to 0, 10, 30, 100, 300, and 600 second-stage juveniles(J2)/100 $cm^3$ soil. The relationship of total fruit yield to Pi level could be adequately described by a linear regression equation, $Y=0.82-0.04{\cdot}Log_{10}$(Pi+1). Initial nematode densities(Pi) before planting in excess of 5 J2/1,000 $cm^3$ soil caused in total yields loss that is equivalent to the costs of granular nematicide application; Pi level in excess of 25 J2/1,000 $cm^3$ soil caused in total yields loss that exceed the costs for application of fumigants at current control costs. We propose two different management strategies depending on nematode densities, (i) application of non-fumigant granular nematicides for M. incognita Pi level of 5 J2/1,000 $cm^3$ soil and (ii) fumigant treatment with Pi level over 25 J2/1,000 $cm^3$ soil. Soil samples to determine population density of Meloidogyne spp. for advisory purposes should be taken several months before planting time, which allows a period of time enough for implementing management procedures.
Morphological (cyst shape, color, and sizes [length (L), maximum width (W), volume and âaâ (L/W)]), structural (vulvar cone slope angle [VCSA], surface wrinkle [VCSW], cyst wall thickness, composition, and texture) and biological characteristics (fecundity, hatching, and emergence [number of second-stage juveniles (J2) from a cyst]) in preceding Heterodera glycines (Hg), currently-recorded H. sojae (Hs) and H. trifolii (Ht) were examined by microscopy. Cysts were lemon-shaped, indicating the genus is Heterodera except for Hs that formed frequently globular cysts with significantly flatter VCSA (102.2°) with smooth VCSW than Hg (50.6°) and Ht (82.0°), but not genus Globodera because of the presence of vulvar cone in Hs. Ht was significantly larger in all morphological characteristics than Hg and Hs, suggesting Ht may be diagnosed differentially by cyst sizes and also host plant preferences. Hs showed smaller âaâ value with more globular shape and stronger structures with more thickened and strengthened collagen-like texture of cyst wall than Hg and Ht. This suggests Hs may be diagnosed differently by structural characteristics from the others, especially Hg with similar cyst sizes. There were no significant differences in emergence (inoculum potential) among cyst nematodes due to the offset of fecundity and hatching rate; however, the inoculum potential of Hs may be not so persistent as Hg and Ht in fields because of its lower fecundity and higher hatching rate (causing rapid inoculum loss) than the others. These characteristics of cysts provide information useful for simple and differential diagnoses and reliable management of cyst nematodes. Keywords: biological characteristics, cysts, Heterodera spp., morphological and structural characteristics
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