• 제목/요약/키워드: Leaf Diseases

검색결과 409건 처리시간 0.025초

흑구온도를 이용한 천궁 엽온 예측 모델 개발 (Developing a Model for Estimating Leaf Temperature of Cnidium officinale Makino Based on Black Globe Temperature)

  • 서영진;남효훈;장원철;이부용
    • 한국약용작물학회지
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    • 제26권6호
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    • pp.447-454
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    • 2018
  • Background: The leaf temperature ($T_{LEAF}$) is one of the most important physical parameters governing water and carbon flux, including evapotranspiration, photosynthesis and respiration. Cnidium officinale is one of the important folk medicines for counteracting a variety of diseases, and is particularly used as a traditional medicinal crop in the treatment of female genital inflammatory diseases. In this study, we developed a model to estimate $T_{Leaf}$ of Cnidium officinale Makino based on black globe temperature ($T_{BGT}$). Methods and Results: This study was performed from April to July 2018 in field characterized by a valley and alluvial fan topography. Databases of $T_{LEAF}$ were curated by infrared thermometry, along with meteorological instruments, including a thermometer, a pyranometer, and an anemometer. Linear regression analysis and Student's t-test were performed to evaluate the performance of the model and significance of the parameters. The correlation coefficient between observed $T_{LEAF}$ and calculated $T_{BGT}$ obtained using an equation, developed to predict $T_{LEAF}$ based on $T_{BGT}$ was very high ($r^2=0.9500$, p < 0.0001). There was a positive relationship between $T_{BGT}$ and solar radiation ($r^2=0.8556$, p < 0.0001), but a negative relationship between $T_{BGT}$ and wind speed ($r^2=0.9707$, p < 0.0001). These results imply that heat exchange in leaves seems to be mainly controlled by solar radiation and wind speed. The correlation coefficient between actual and estimated $T_{BGT}$ was 0.9710 (p < 0.0001). Conclusions: The developed model can be used to accurately estimate the $T_{Leaf}$ of Cnidium officinale Makino and has the potential to become a practical alternative to assessing cold and heat stress.

Transmission of an Indonesian Isolate of Tobacco leaf curl virus (Geminivirus) by Bemisia tabaci Genn. (Hemiptera: Aleyrodidae)

  • Noor, Aidawati;Sri, Hendrastuti Hidayat;Rusmilah, Suseno;Soemartono, Sosromarsono
    • The Plant Pathology Journal
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    • 제18권5호
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    • pp.231-236
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    • 2002
  • Bemisia tabaci Genn. is an important pest worldwide because of its ability to cause damage by direct feeding and its role as a vector of some viruses including geminiviruses. The first report of Tobacco leaf curl virus (TLCV), a Geminiviruses, in Indonesia was in 1932 when the virus was found infecting tobacco plants in Central Java. The characteristic symptoms of TLCV included upward curling of the leaf edge, vein thickening, and sometimes the occurrence of enation on the underside of the leaves. Basic studies were carried out to elucidate the characteristics of TLCV transmission by its vector, B. tabaci. A single whitefly was able to transmit the virus and the efficiency of transmission was increased when the number of adult whiteflies was increased up to 20 per plant. Inoculation access period of 1 h could cause transmission up to 20% and the optimum inoculation access period was 12 h. Acquisition access period of 30 minutes resulted in 70% transmission while 1(10% transmission occurred with a 24-h acqui-sition access period. The virus was proven to be persistently but not transovarially transmitted. Discrete fragments of 1.6 kb were observed when polymerase chain reaction method was applied to detect the virus in viruliferous nymphs and individual adults of B. tabaci, while no bands were obtained from non-viruliferous nymphs and adults.

Newly Recorded Problematic Plant Diseases in Korea and Their Causal Pathogens

  • Kwon, Jin-Hyeuk
    • 한국식물병리학회:학술대회논문집
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    • 한국식물병리학회 2003년도 정기총회 및 추계학술발표회
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    • pp.25-27
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    • 2003
  • Since 1993, a total of 50 problematic plant diseases unrecorded in Korea were surveyed in Gyeongnam province. Totally 34 new host plants to corresponding pathogens investigated in this study were 5 fruit trees, 9 vegetables, 12 ornamental plants, 3 industrial crops, and 5 medicinal plants. Among the newly recorded fruit tree diseases, fruit rot of pomegranate caused by Coniella granati and Rhizopus soft rot of peach caused by Rhizopus nigricans damaged severely showing 65.5% and 82.4% infection rate. Among the vegetable diseases, corynespora leaf spot of pepper caused by Corynespora cassiicola and the crown gall of pepper caused by Agrobacterium tumefaciens, powdery mildew of tomato caused by Oidiopsis taurica were the most severe revealing 47.6%, 84.7%, and 54.5% infection rate in heavily infected fields, respectively. In ornamental plants, collar rot of lily caused by Sclerotium rolfsii, gray mold of primula caused by Botrytis cinerea, soot leaf blight of dendrobium caused by Pseudocercospora dendrobium, sclerotinia rot of obedient plant caused by Sclerotinia sclerotiorum showed 32.7 to 64.8% disease incidence. On three industrial plants such as sword bean, broad bean, and cowpea, eight diseases were firstly found in this study. Among the diseases occurring on broad bean, rust caused by Uromyces viciae-fabae and red spot caused by Botrytis fabae were the major limiting factor for the cultivation of the plant showing over 64% infection rate in fields. In medicinal plants, anthracnose of safflower caused by Collectotrichum acutatum was considered the most severe disease on the plant and followed by collar rot caused by Sclerotium rolfsii.(중략)

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An Analysis of Plant Diseases Identification Based on Deep Learning Methods

  • Xulu Gong;Shujuan Zhang
    • The Plant Pathology Journal
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    • 제39권4호
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    • pp.319-334
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    • 2023
  • Plant disease is an important factor affecting crop yield. With various types and complex conditions, plant diseases cause serious economic losses, as well as modern agriculture constraints. Hence, rapid, accurate, and early identification of crop diseases is of great significance. Recent developments in deep learning, especially convolutional neural network (CNN), have shown impressive performance in plant disease classification. However, most of the existing datasets for plant disease classification are a single background environment rather than a real field environment. In addition, the classification can only obtain the category of a single disease and fail to obtain the location of multiple different diseases, which limits the practical application. Therefore, the object detection method based on CNN can overcome these shortcomings and has broad application prospects. In this study, an annotated apple leaf disease dataset in a real field environment was first constructed to compensate for the lack of existing datasets. Moreover, the Faster R-CNN and YOLOv3 architectures were trained to detect apple leaf diseases in our dataset. Finally, comparative experiments were conducted and a variety of evaluation indicators were analyzed. The experimental results demonstrate that deep learning algorithms represented by YOLOv3 and Faster R-CNN are feasible for plant disease detection and have their own strong points and weaknesses.

작약(芍藥)의 주요병해(主要病害) 발생(發生) (Incidence of Major Diseases on Paeonia lactiflora PALLAS)

  • 박소득;김기재;유오정;김세종;김재철;신종희
    • 한국약용작물학회지
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    • 제4권3호
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    • pp.236-240
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    • 1996
  • 1. 작약(芍藥)의 지상부(地上部)에 기생(寄生)하는 주요 병원균(病原菌)은 점무늬병균 등 7종(種)이었으며 점 무늬병은 잎, 검은무늬병은 줄기, 흰가루병은 잎과 줄기 등 지상부 전체에 발생이 심하였다. 2. 작약(芍藥)에는 점무늬병과 흰가루병이 우점종(優占種)이었고, 각각 4월 하순, 5월 중순부터 발생되기 시작하여 5월 하순 이후는 급격히 증가하였으며 의성작약(義城芍藥)이 영천종(永川種)보다 발병율이 높았다. 3. 시기별(時期別) 작약(芍藥) 지상부(地上部) 고사율(枯死率)은 95년의 경우 5월 하순부터 고사(枯死)하기 시작하여 6월 하순에 15.3%로 그 이후부터는 급격히 증가하여 8월 상순에는 50.6%가 고사(枯死)하였으며 5, 6월의 조기고사(早期枯死)는 주로 흰가루병 때문이었다.

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감잎의 성장시기별 항산화 효과 (Antioxidant activity of Persimmon Leaves during Growth)

  • 정승일;조정근;목지예;김상준;박지민;전인화;김현수;장선일
    • 생약학회지
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    • 제41권4호
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    • pp.255-263
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    • 2010
  • Kojongsi persimmon (Diospyros kaki) is the major cultivar of astringent persimmon in southern of Korea. Kojongsi persimmon leaf has been traditionally used for acute and chronic diseases in Oriental countries. The purpose of this study was undertaken to investigate the antioxidative activities of the extract of Kojongsi persimmon leaf during growth. We investigated the antioxidant effects of the persimmon leaf extracts during growth on total polyphenol, total flavonoid, electronic donating ability (DPPH), nitrite (NO) scavenging and superoxide dismutase (SOD)-like activity. The next, we investigated the possible cell protective effects of the persimmon extract treatment against ultraviolet B (UVB)-induced injury in HaCaT keratinocytes. The contents of total polyphenol and flavonoid in leaf extract of Kojongsi persimmon were increased in time-dependent manner. In Jun, DPPH and NO radical scavenging and SOD-like activities in the leaf extract of Kojongsi persimmon was increased to the highest. However, the antioxidant activities in persimmon varieties were not any difference. The cell cytotoxicity by UVB irradation in HaCaT keratinocytes was significantly increased with the compared to the control group. However, the treatment of leaf extract of Kojongsi persimmon in HaCaT keratinocytes was shown to protective effect against UVB-induced cell cytotoxicity. These results suggest that the leaf extract of Kojongsi persimmon has potent antioxidant activity, and protective effect against UVB-induced keratinocyte injury. Thus, these properties may be contributed in the care of acute and chronic diseases.

Use of Serological-Based Assay for the Detection of Pepper yellow leaf curl Indonesia virus

  • Hidayat, Sri Hendrastuti;Haryadi, Dedek;Nurhayati, Endang
    • The Plant Pathology Journal
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    • 제25권4호
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    • pp.328-332
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    • 2009
  • Diseases caused by Pepper yellow leaf curl virus infection is considered to be emerging plant diseases in Indonesia in the last five years. One key factor for disease management is the availability of accurate detection of the virus in plants. Polyclonal antibody for Pepper yellow leaf curl Indonesia virus-Bogor (PYLCIV-Bgr) was produced for detection of the virus using I-ELISA and DIBA methods. The antibody was able to detect PYLCIV-Bgr from infected plants up to dilution 1/16,384 and cross reaction was not observed with Cucumber mosaic virus (CMV), Tobacco mosaic virus (TMV), and Chilli veinal mottle virus (ChiVMV). Positive reaction was readily detected in membrane containing Begomovirus samples from Yogyakarta (Kaliurang and Kulonprogo) and West Java (Bogor and Segunung). Infection of PYLCIV-Bgr in chillipepper, tomato, and Ageratum conyzoides was also confirmed using polyclonal antibody for PYLCIV-Bgr in DIBA. Polyclonal antibody for PYLCIV-Bgr is suggested to be included in disease management approach due to its good detection level.

인삼의 수분생리 III. 토양수분, 생리장해, 병해충과 품질 (Water Physiology of Panax ginseng III. Soil moisture, physiological disorder, diseases, insects and quality)

  • 박훈
    • Journal of Ginseng Research
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    • 제6권2호
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    • pp.168-203
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    • 1982
  • Effects of soil moisture on growth of Panax ginseng, of various factors on soil moisture, and of moisture on nutrition, quality, physiological disorder, diseases and insect damage were reviewed. Optimum soil moisture was 32% of field capacity with sand during seed dehiscence, and 55-65% for plant growth in the fields. Optimum soil moisture content for growth was higher for aerial part than for root and higher for width than for length. Soil factors for high yield in ginseng fields appeared to be organic matter, silt, clay, agreggation, and porosity that contributed more to water holding capacity than rain fall did, and to drainage. Most practices for field preparation aimed to control soil moisture rather than nutrients and pathogens. Light intensity was a primary factor affecting soil moisture content through evaporation. Straw mulching was best for the increase of soil moisture especially in rear side of bed. Translocation to aerial part was inhibited by water stress in order of Mg, p, Ca, N an Mn while accelerated in order of Fe, Zn and K. Most physiological disorders(leaf yellowing, early leaf fall, papery leaf spot, root reddening, root scab, root cracking, root dormancy) and quality factors were mainly related to water stress. Most critical diseases were due to stress, excess and variation of soil water, and heavy rain fall. The role of water should be studied in multidiciplinary, especially in physiology and pathology.

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Analgesic and antiinflammatory activity of Alstonia macrophylla and Mallotus peltatus leaf extracts: Two popular ethnomedicines of Onge, a Negrito tribe of little Andaman

  • Chattopadhyay, Debprasad;Arunachalam, G.;Sur, T.K.;Bhattacharya, S.K.;Mandal, Asit B.
    • Advances in Traditional Medicine
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    • 제5권2호
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    • pp.124-136
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    • 2005
  • Two popular ethnomedicines of the Onge, a Negrito tribe of Andaman Islands, were evaluated for analgesic and antiinflammatory activity. The methanol extract as well as the different fractions of methanol extract of both Alstonia macrophylla and Mallotus peltatus leaves were studied using Swiss albino mice and Wistar albino rats. Acetic acid induced writhing, Tail flick and Tail immersion; Carrageenin- and Dextran-induced paw oedema tests were used. Dose-dependent analgesic and antiinflammatory activity were demonstrated for both methanol leaf extracts as well as fractions. Results were highly comparable with that of the standard drug pethidine.

Identification and Characterization of Fungal Pathogens Associated with Boxwood Diseases in the Republic of Korea

  • Shin, Soobin;Kim, Jung-Eun;Son, Hokyoung
    • The Plant Pathology Journal
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    • 제38권4호
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    • pp.304-312
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    • 2022
  • Boxwood is a representative ornamental shrub that is widely used in landscaping horticulture. After pruning, damaged leaves or stems of boxwoods are unavoidably vulnerable to infection by various plant pathogens. Several boxwood diseases caused by fungi, such as Volutella blight and Macrophoma leaf spot, have been reported worldwide including Republic of Korea. In this study, we isolated and identified fungal pathogens of boxwood diseases that occurred in Korea and characterized their morphological and taxonomic characteristics. Boxwood samples showing blight symptoms were collected in Seoul, Republic of Korea, and the putative fungal pathogens Pseudonectria buxi, P. foliicola, and Neofusicoccum buxi were successfully identified. Investigation of the morphological features of the field isolates, including mycelial growth and conidial morphology, and phylogenetic analysis of multiple DNA barcode loci revealed that there were some morphological and genetic variations among isolates, but all of the analyzed isolates were closely related to the corresponding reference strains. We also found that P. foliicola strains were more virulent than P. buxi, and the N. buxi strains isolated in this study were weak pathogens or saprophytes. The results of our study will contribute to the development of control strategies for boxwood diseases caused by fungi and accelerate research on the complex ecology of boxwood diseases.