scholarly journals ASSOCIATION OF PHYTOPLASMA AND BEGOMOVIRUS WITH SOME ORNAMENTAL PLANTS: A REVIEW

2021 ◽  
Vol 21 (no 1) ◽  
Author(s):  
Shoeb Ahmad ◽  
Akil A. Khan
Keyword(s):  
Plant Virus ◽  
Ornamental Plants ◽  
Shoot Proliferation ◽  
Plant Viruses ◽  
Plant Diseases ◽  
Economic Losses ◽  
Small Scale ◽  
Cut Flowers ◽  
Agricultural Enterprises ◽  
International Importance

In recent years, the development of the floriculture sector has received rising attention, particularly for the benefit of small-scale agricultural enterprises producing domestic seedlings of perennial ornamental plants and for export to neighbouring countries. Plant diseases, including those associated with phytoplasma infections and plant viruses, are affected by this industry, as are other sectors of the agricultural economy.In a number of commercial cut flowers and ornamental plants, phytoplasma and plant virus infection causes diseases, causing major economic losses globally.Therefore, phytoplasma and plant virus diseases are the key constraints in the production of lucrative ornamental plants and lower their quantum and quality, gaining international importance due to unspecific symptoms, different losses and complex epidemiology around the world. These disease epidemics forced the removal of several varieties of floricultural plants such as gladiolus, lily, chrysanthemum and rose from cultivation. In various ornamental plants in botanical gardens and various floriculture farms, symptoms of general yellowing as well as plant stunting, shoot proliferation, phyllody, virescence, lower cost of flowers and reddening of leaves were observed. The prevalent mode of distribution of plant viruses is vector transmission, vegetative propagation or seed, although in some cases, viruses are transmitted by mechanical contact. Begomoviruses in economically important ornamental plants, especially in the tropical and subtropical regions, are among the most dangerous epidemic-causing pathogens, but phytoplasmas of ornamental plants have been widely distributed geographically. Information on phytoplasma and begomovirus infecting ornamental plants has been addressed in this study

scholarly journals Softening of Processed Plant Virus Infected Cucumis sativus Fruits

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1451
Author(s):  
Anne-Katrin Kersten ◽  
Sabrina Scharf ◽  
Martina Bandte ◽  
Peer Martin ◽  
Peter Meurer ◽  
...  
Keyword(s):  
Cucumis Sativus ◽  
Plant Virus ◽  
Plant Viruses ◽  
Economic Losses ◽  
Symptom Expression ◽  
Considerable Influence ◽  
Mechanical Inoculation ◽  
Morphological Alterations ◽  
Texture Properties ◽  
Textural Changes

Texture softening of pickled cucumbers does not meet consumers’ quality expectations and leads to economic losses. The factor(s) triggering this phenomenon is still unknown. We investigated the importance of plant viruses such as Cucumber green mottle mosaic tobamovirus (CGMMV) and Zucchini yellow mosaic potyvirus (ZYMV) in the context of softening of pickles. Cucumber plants (Cucumis sativus) were infected by mechanical inoculation, grown under greenhouse conditions and tested positive for the viral infection by ELISA. The severity of virus infection was reflected in yield and symptom expression. Histological and morphological alterations were observed. All fruits were pasteurized, separately stored in jars and subjected to texture measurements after four, six and 12 months. CGMMV-infections were asymptomatic or caused mild symptoms on leaves and fruit, and texture quality was comparable to control. At the same time, fruits of ZYMV-infected plants showed severe symptoms like deformations and discoloration, as well as a reduction in firmness and crunchiness after pasteurization. In addition, histological alterations were detected in such fruits, possibly causing textural changes. We conclude that plant viruses could have a considerable influence on the firmness and crunchiness of pickled cucumbers after pasteurization. It is possible that the severity of symptom expression has an influence on texture properties.

scholarly journals THE MOST COMMON DISEASES OF ORNAMENTAL PLANTS IN THE ENTITY OF REPUBLIC OF SRPSKA (BOSNIA AND HERZEGOVINA)

AGROFOR ◽  
2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Vojislav TRKULJA ◽  
Bojana ĆURKOVIĆ ◽  
Jelena VASIĆ ◽  
Bojana VUKOVIĆ ◽  
Gordana BABIĆ ◽  
...  
Keyword(s):  
Ornamental Plants ◽  
Plant Viruses ◽  
Plant Diseases ◽  
Impatiens Necrotic Spot Virus ◽  
Molecular Characteristics ◽  
Bacterial Diseases ◽  
Tomato Spotted Wilt ◽  
Alternaria Sp ◽  
Wilt Virus

During five year period (2011-2015) on territory of Republic of Srpska thecontinuous monitoring was carried out on different ornamental flowers for thepresence of plant diseases. For laboratory analysis following species Alyssum sp.,Aster sp., Bacopa sp., Begonia sp., Bellis perennis, Calceolaria sp.,Chrysanthemum sp., Cyclamen sp., Dahlia sp., Dianthus sp., Fuchsia sp., Gazaniasp., Gloxinia sp., Lobelia sp., Myosotis sp., Pelargonium sp., Petunia sp.,Petuniaxhybrida, Phlox sp., Plectranthus sp., Portulaca grandiflora, Primula sp.,Ranunculus sp., Rusmarinus officinalis, Salvia sp., Sansevaria sp., Tagetes sp.,Impatiens sp., Verbena sp. and Viola sp. were taken. Determination of causalpathogens was carried out on the basis of studying their morphological, pathogenic,biochemical and physiological, serological and molecular characteristics. The mostcommon causal pathogens were Alternaria sp., Botrytis sp., Golvonomyces sp.,Pestalotia sp., Phomopsis sp., Peronospora sp., Phytophtora sp., Puccinia sp. andSeptoria sp. Also, in much less extent, bacterial and viruses diseases were present.The most common bacterial diseases appear to be genera Pseudomonas andErwinia, while the most frequent plant viruses were Tomato spotted wilt virus(TSWV) and Impatiens necrotic spot virus (INSV).

scholarly journals Local and Regional Spatial Analysis of Plant Virus Disease Epidemics with Geographic Information Systems (GIS) and Geostatistics

1998 ◽  
Vol 3 (1) ◽  
pp. 85
Author(s):  
M. R. Nelson ◽  
T. V. Orum
Keyword(s):  
Spatial Analysis ◽  
Plant Virus ◽  
Virus Disease ◽  
Rapid Development ◽  
Plant Diseases ◽  
Computer Hardware ◽  
Virus Diseases ◽  
Agricultural Enterprises ◽  
Disease Epidemics ◽  
User Friendly

Recent advances in personal computer hardware and the rapid development of spatial analysis software that is user-friendly on PC's has provided remarkable new tools for the analysts of plant diseases, particularly ecologically complex virus diseases. Due to the complexity of the disease cycle of the animal-vectored plant virus, these diseases present the most interesting challenges for the application of spatial analysis technology. While traditional quantitative analysis of plant diseases concentrated on within-field spatial analysis, often involving rather arcane mathematical descriptions of pattern, the new spatial analysis tools are most useful at the dimension where many disease epidemics occur, the regional level. The output of many of the programs used in spatial analysis is a highly visual picture of a disease epidemic which has a strong intuitive appeal to managers of agricultural enterprises. Applications by us, thus far, have included tomato, pepper and cotton virus diseases in Arizona. Mexico, California and Pakistan. In addition, this technology has been applied by us to Phytophthora infestans in potato and tomato. Aspergillus flavus in cotton, and regional insect problems of tomato and cotton.

scholarly journals Plant Viruses Infecting Solanaceae Family Members in the Cultivated and Wild Environments: A Review

Plants ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 667 ◽  
Author(s):  
Richard Hančinský ◽  
Daniel Mihálik ◽  
Michaela Mrkvová ◽  
Thierry Candresse ◽  
Miroslav Glasa
Keyword(s):  
Plant Virus ◽  
Plant Viruses ◽  
Life Cycles ◽  
Diagnostic Methods ◽  
Wild Plant ◽  
Economic Losses ◽  
Crop Species ◽  
Ecological Interface ◽  
Solanaceae Family

Plant viruses infecting crop species are causing long-lasting economic losses and are endangering food security worldwide. Ongoing events, such as climate change, changes in agricultural practices, globalization of markets or changes in plant virus vector populations, are affecting plant virus life cycles. Because farmer’s fields are part of the larger environment, the role of wild plant species in plant virus life cycles can provide information about underlying processes during virus transmission and spread. This review focuses on the Solanaceae family, which contains thousands of species growing all around the world, including crop species, wild flora and model plants for genetic research. In a first part, we analyze various viruses infecting Solanaceae plants across the agro-ecological interface, emphasizing the important role of virus interactions between the cultivated and wild zones as global changes affect these environments on both local and global scales. To cope with these changes, it is necessary to adjust prophylactic protection measures and diagnostic methods. As illustrated in the second part, a complex virus research at the landscape level is necessary to obtain relevant data, which could be overwhelming. Based on evidence from previous studies we conclude that Solanaceae plant communities can be targeted to address complete life cycles of viruses with different life strategies within the agro-ecological interface. Data obtained from such research could then be used to improve plant protection methods by taking into consideration environmental factors that are impacting the life cycles of plant viruses.

scholarly journals The Epidemiology of Plant Virus Disease: Towards a New Synthesis

Plants ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1768
Author(s):  
Michael J. Jeger
Keyword(s):  
Disease Management ◽  
Plant Virus ◽  
Virus Disease ◽  
Plant Viruses ◽  
Plant Diseases ◽  
Wild Plant ◽  
Individual Plant ◽  
Distinctive Character ◽  
New Synthesis ◽  
Virus Research

Epidemiology is the science of how disease develops in populations, with applications in human, animal and plant diseases. For plant diseases, epidemiology has developed as a quantitative science with the aims of describing, understanding and predicting epidemics, and intervening to mitigate their consequences in plant populations. Although the central focus of epidemiology is at the population level, it is often necessary to recognise the system hierarchies present by scaling down to the individual plant/cellular level and scaling up to the community/landscape level. This is particularly important for diseases caused by plant viruses, which in most cases are transmitted by arthropod vectors. This leads to range of virus-plant, virus-vector and vector-plant interactions giving a distinctive character to plant virus epidemiology (whilst recognising that some fungal, oomycete and bacterial pathogens are also vector-borne). These interactions have epidemiological, ecological and evolutionary consequences with implications for agronomic practices, pest and disease management, host resistance deployment, and the health of wild plant communities. Over the last two decades, there have been attempts to bring together these differing standpoints into a new synthesis, although this is more apparent for evolutionary and ecological approaches, perhaps reflecting the greater emphasis on shorter often annual time scales in epidemiological studies. It is argued here that incorporating an epidemiological perspective, specifically quantitative, into this developing synthesis will lead to new directions in plant virus research and disease management. This synthesis can serve to further consolidate and transform epidemiology as a key element in plant virus research.

scholarly journals PEMANFAATAN E-COMMERCE DALAM UPAYA MENINGKATKAN PENJUALAN BUNGA HIAS KOMUNITAS LESTARI CYCLOP DI JAYAPURA

2021 ◽  
Vol 3 (2) ◽  
pp. 10-25
Author(s):  
Hastutie Noor Andriati
Keyword(s):  
Social Media ◽  
Small Business ◽  
Digital Media ◽  
Direct Observation ◽  
Ornamental Plants ◽  
Sales Promotion ◽  
Small Scale ◽  
The Internet ◽  
Cut Flowers ◽  
Service Activity

Based on direct observation of the micro and small scale business actors, they have not been fullyused internet as a promotion or sales tool. Whereas throughout accessing various social media isan opportunity to support increasing business sales because the product is more recognized by thepublic, so that it can increase the likelihood of transactions taking place.Recently, small business actor who is still doing conventional marketplace and have not usedinformation technology such as the internet is a florist, Lestari Cycloop. Lestari Cycloop businessgroup is a group of ornamental plants and cut flowers domiciled around the Cycloop Area. On thatbasis, this dedication is carried out to help the business group of Lestari Cycloop in conductingonline sales/promotion (e-commerce).During the mentoring process partners who are assisted feel very helped by this devotional activity.In addition to facilitating the creation of digital media that if it helps the promotion of products, thiscommunity service activity can increase sales profit after being marketed through the empowermentof social media such as FB, IG, and WAG.

scholarly journals The hunt for plant viruses in South Africa: The early days

2020 ◽  
Vol 116 (11/12) ◽  
Author(s):  
Chrissie Rey
Keyword(s):  
South Africa ◽  
Management Strategies ◽  
Plant Viruses ◽  
Diagnostic Methods ◽  
Plant Diseases ◽  
Viral Diseases ◽  
Small Scale ◽  
Indigenous Plants ◽  
Accurate Identification ◽  
Potential Yield

Plant viruses cause widespread disease in agriculturally important crops, resulting in a reduction in both quality and quantity of produce. The introduction of intensive crop monoculture has resulted in an exponential increase in viral diseases which can cross over from wild indigenous plants. Viral pathogens also can occur in mixed infections, and rapid, sensitive and reliable diagnostic methods are required to identify and characterise the viruses responsible for the field diseases. In comparison to bacterial and fungal diseases, viral diseases are more difficult to diagnose. This review covers a period (1985–2011) in the history of virus discovery in South Africa during which several plant viruses from commercial and smallscale farms were identified and characterised. Interestingly, novel viruses were discovered in three crops, namely guar and cassava grown by small-scale farmers in Mpumalanga, and in commercial tobacco. The implication of these plant diseases is potential yield loss to farmers which can affect their livelihoods, and result in severe economic loss for the food and agriculture industries. Accurate identification of the causal viral agents of these viral diseases is a prerequisite for development of effective management strategies.

scholarly journals Mixed Infections of Plant Viruses in Crops: Solo vs. Group Game

Proceedings ◽  
2020 ◽  
Vol 50 (1) ◽  
pp. 94
Author(s):  
Inmaculada Ferriol ◽  
Ornela Chase ◽  
María Luisa Domingo-Calap ◽  
Juan José López-Moya
Keyword(s):  
Molecular Mechanisms ◽  
Viral Infections ◽  
Complex Diseases ◽  
Plant Viruses ◽  
Plant Diseases ◽  
Control Measures ◽  
Effective Control ◽  
Economic Losses ◽  
Multiple Infections ◽  
Mixed Infections

Plant diseases are responsible for considerable economic losses in agriculture worldwide. Recent surveys and metagenomics approaches reveal a higher than expected incidence of complex diseases, like those caused by mixed viral infections. Particularly, frequent cases of mixed infections are co-infections or superinfections of plant viruses belonging to different genera in the families Potyviridae (Ipomovirus or Potyvirus) and Closteroviridae (Crinivirus). The outcome of such multiple infections could modify viral traits, such as host range, titer, tissue and cell tropisms, and even vector preference and transmission rates. Therefore, we believe that understanding the virus–virus, virus–host, and virus–vector interactions would be crucial for developing effective control measures. Since there is still limited knowledge about the molecular mechanisms underlying the different interactions, and how they might contribute to specific diseases in mixed infection, we are analyzing ipomovirus–crinivirus and potyvirus–crinivirus pathosystems, to better understand single and mixed infections in selected susceptible hosts (Cucurbitaceae and Convolvulaceae plants), also incorporating in the study the interactions with insect vectors (whiteflies and aphids). Among other strategies, we are engineering new biotechnological tools, to explore the molecular biology and transmission mechanisms of several viruses implicated in complex diseases, and we are also addressing the possibility to produce virus-like particles (VLPs) through transient expression of the CP of different viruses in Nicotiana benthamiana plants, with the aim to study requirements for virion formation and determinants of transmission. Work supported by project AGL2016-75529-R and grant “Severo-Ochoa” SEV-2015-0533.

scholarly journals Effects of Vector Maturation Time on the Dynamics of Cassava Mosaic Disease

2021 ◽  
Vol 83 (8) ◽  
Author(s):  
F. Al Basir ◽  
Y. N. Kyrychko ◽  
K. B. Blyuss ◽  
S. Ray
Keyword(s):  
Time Delay ◽  
Plant Density ◽  
Plant Viruses ◽  
Mosaic Disease ◽  
Plant Diseases ◽  
Cassava Mosaic Disease ◽  
Maturation Time ◽  
Negative Effect ◽  
Dynamical Regimes

AbstractMany plant diseases are caused by plant viruses that are often transmitted to plants by vectors. For instance, the cassava mosaic disease, which is spread by whiteflies, has a significant negative effect on plant growth and development. Since only mature whiteflies can contribute to the spread of the cassava mosaic virus, and the maturation time is non-negligible compared to whitefly lifetime, it is important to consider the effects this maturation time can have on the dynamics. In this paper, we propose a mathematical model for dynamics of cassava mosaic disease that includes immature and mature vectors and explicitly includes a time delay representing vector maturation time. A special feature of our plant epidemic model is that vector recruitment is negatively related to the delayed ratio between vector density and plant density. We identify conditions of biological feasibility and stability of different steady states in terms of system parameters and the time delay. Numerical stability analyses and simulations are performed to explore the role of various parameters, and to illustrate the behaviour of the model in different dynamical regimes. We show that the maturation delay may stabilise epidemiological dynamics that would otherwise be cyclic.

scholarly journals AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3830
Author(s):  
Ahmad Almadhor ◽  
Hafiz Tayyab Rauf ◽  
Muhammad Ikram Ullah Lali ◽  
Robertas Damaševičius ◽  
Bader Alouffi ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Resolution ◽  
Color Difference ◽  
Plant Diseases ◽  
Economic Losses ◽  
Production Loss ◽  
Postharvest Diseases ◽  
Tropical Regions ◽  
Guava Fruit ◽  
Tree Classifier

Plant diseases can cause a considerable reduction in the quality and number of agricultural products. Guava, well known to be the tropics’ apple, is one significant fruit cultivated in tropical regions. It is attacked by 177 pathogens, including 167 fungal and others such as bacterial, algal, and nematodes. In addition, postharvest diseases may cause crucial production loss. Due to minor variations in various guava disease symptoms, an expert opinion is required for disease analysis. Improper diagnosis may cause economic losses to farmers’ improper use of pesticides. Automatic detection of diseases in plants once they emerge on the plants’ leaves and fruit is required to maintain high crop fields. In this paper, an artificial intelligence (AI) driven framework is presented to detect and classify the most common guava plant diseases. The proposed framework employs the ΔE color difference image segmentation to segregate the areas infected by the disease. Furthermore, color (RGB, HSV) histogram and textural (LBP) features are applied to extract rich, informative feature vectors. The combination of color and textural features are used to identify and attain similar outcomes compared to individual channels, while disease recognition is performed by employing advanced machine-learning classifiers (Fine KNN, Complex Tree, Boosted Tree, Bagged Tree, Cubic SVM). The proposed framework is evaluated on a high-resolution (18 MP) image dataset of guava leaves and fruit. The best recognition results were obtained by Bagged Tree classifier on a set of RGB, HSV, and LBP features (99% accuracy in recognizing four guava fruit diseases (Canker, Mummification, Dot, and Rust) against healthy fruit). The proposed framework may help the farmers to avoid possible production loss by taking early precautions.

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