A5040007506- Plant Pathogens and Fungal Diseases
- Plant-Microbe Interactions and Immunity
- Spectroscopy and Chemometric Analyses
- Remote Sensing in Agriculture
- Fungal Plant Pathogen Control
- Plant Disease Management Techniques
- Mycotoxins in Agriculture and Food
- Mycorrhizal Fungi and Plant Interactions
- Smart Agriculture and AI
- Microbial Community Ecology and Physiology
- Remote Sensing and LiDAR Applications
- Agriculture, Plant Science, Crop Management
- Biological Control of Invasive Species
- Nematode management and characterization studies
- Essential Oils and Antimicrobial Activity
- Plant Physiology and Cultivation Studies
- Plant Parasitism and Resistance
- Species Distribution and Climate Change
- Yeasts and Rust Fungi Studies
- Plant Virus Research Studies
- Leaf Properties and Growth Measurement
- Plant Pathogenic Bacteria Studies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Microbial Metabolism and Applications
- Allelopathy and phytotoxic interactions
Aristotle University of Thessaloniki
2013-2023
University of Liverpool
2008
Leiden University
2002-2007
The fungus Fusarium oxysporum f. sp. radicis-lycopersici is the causal agent of tomato foot and root rot disease. green fluorescent protein (GFP) was used to mark this in order visualize analyze colonization infection processes vivo. Transformation F very efficient gfp expression stable for at least nine subcultures. Microscopic analysis transformants revealed homogeneity signal, which clearly visible hyphae as well chlamydospores conidia. To our knowledge, first report shown. transformation...
Clonostachys rosea is a mycoparasitic fungus that can control several important plant diseases. Here, we report on the genome sequencing of C. and comparative analysis, in order to resolve phylogenetic placement study evolution mycoparasitism as fungal lifestyle. The estimated 58.3 Mb, contains 14,268 predicted genes. A phylogenomic analysis shows clusters sister taxon pathogenic Fusarium species, with mycoparasitic/saprotrophic Trichoderma species an ancestral position. gene family reveals...
The fungus Fusarium oxysporum f. sp. radicis-lycopersici causes foot and root rot of tomato plants, which can be controlled by the bacteria Pseudomonas fluorescens WCS365 P. chlororaphis PCL1391. Induced systemic resistance is thought to involved in biocontrol WCS365. antifungal metabolite phenazine-1-carbox-amide (PCN), as well efficient colonization, are essential mechanism To understand effects bacterial strains PCL1391 on rhizosphere, microscopic analyses were performed using different...
The soilborne fungus Fusarium oxysporum f. sp. radicislycopersici causes tomato foot and root rot (TFRR), which can be controlled by the addition of nonpathogenic F. Fo47 to soil. To improve our understanding interactions between two strains on roots during biocontrol, fungi were labeled using different autofluorescent proteins as markers subsequently visualized confocal laser scanning microscopy. results follows. i) An at least 50- fold excess Fo47over radicis-lycopersici was required...
Silybum marianum (L.) Gaertn weed has the tendency to grow in patches. In order perform site-specific management, determining spatial distribution of weeds is important for its eradication. Remote sensing been used species discrimination and it offers promising techniques operational mapping. present study, feasibility high-resolution imaging S. detection mapping reported. A multispectral camera (green–red–near-infrared) mounted on a fixed wing unmanned aerial vehicle (UAV) was acquisition...
In the present study, detection and mapping of Silybum marianum (L.) Gaertn. weed using novelty classifiers is reported. A multispectral camera (green-red-NIR) on board a fixed wing unmanned aerial vehicle (UAV) was employed for obtaining high-resolution images. Four were used to identify S. between other vegetation in field. The One Class Support Vector Machine (OC-SVM), Self-Organizing Maps (OC-SOM), Autoencoders Principal Component Analysis (OC-PCA). As input features classifiers, three...
Remote sensing techniques are routinely used in plant species discrimination and of weed mapping. In the presented work, successful Silybum marianum detection mapping using multilayer neural networks is demonstrated. A multispectral camera (green-red-near infrared) attached on a fixed wing unmanned aerial vehicle (UAV) was utilized for acquisition high-resolution images (0.1 m resolution). The Multilayer Perceptron with Automatic Relevance Determination (MLP-ARD) to identify S. among other...
Accurate mapping of weed distribution within a field is first step towards effective management. The aim this work was to improve the milk thistle (Silybum marianum) patches through unmanned aerial vehicle (UAV) images using auxiliary layers information, such as spatial texture and estimated vegetation height from UAV digital surface model. multispectral acquired in visible near-infrared parts spectrum were used main source data, together with that for image bands local variance filter....
Biosolid application is an effective strategy, alternative to synthetic chemicals, for enhancing plant growth and performance improving soil properties. In previous research, biosolid has shown promising results with respect tomato resistance against Fusarium oxysporum f. sp. radicis-lycopersici (Forl). Herein, we aimed at elucidating the effect of on plant–microbiome response mechanisms Forl a molecular level. More specifically, interactions in presence biocontrol mechanism were...
Local beneficial rhizobacteria were selected based upon their ability to control the fungus Fusarium oxysporum f. sp. radicis-lycopersici which causes crown and root rot of tomato. Seven out 384 strains prevailed in multiple dual cultures identified as Pseudomonas chlororaphis (one strain), Bacillus cereus Serratia marcescens (three strains) rubidaea (two strains), by sequencing 16S rRNA or 23S inter-spacer region. The seven tested for biocontrol growth-promoting effects planta, antifungal...
Silverleaf nightshade ( Solanum elaeagnifolium , Cav.) is one of the important invasive plant species in Mediterranean Basin countries. Over last 60 years, this has gone from a few accidental introductions to near monospecific populations many areas (in particular Greece and Morocco). Recent findings Lebanon show that invasion ongoing. negative impact on crops, causing up 75% yield loss, as well an indirect by harbouring pests diseases. toxic livestock affect quality life for humans. Losses...
Olives are an essential crop for Greece and constitute a major economic agricultural factor. Diseases, pests, environmental conditions all factors that can deteriorate the health status of olive crops by causing plant stress. Researchers utilize remote sensing to assist their actions in detecting these sources stress act accordingly. In this experiment, Sentinel-2 data were used create vegetation indices commercial fields Halkidiki, Northern Greece. Twelve machine learning algorithms tested...
Field experiments were conducted during the 1989 to 1993 growing seasons in order determine effect of natural infections Alternaria alternata on yield sunflower (Helianthus annuus). Number seeds produced per head and seed weight reduced by 16 65% 15 79%, respectively. correlated negatively with disease intensity before anthesis. The fungus overwinters leaf residues may present a yearly problem for production some areas.
During September and October 2005 2006 a fruit disease was observed in pomegranate orchards, the region of Larissa, Central Greece, causing significant yield losses approximately 40–50% especially on cv. Kapmaditika. Internal symptoms consisted black rot core beginning from calyx area, while hard, leathery rind appeared healthy fruits remained firm. Alternaria alternata consistently isolated infected tissues, identification fungus based morphological characteristics mode sporulation conidia...
Timely and accurate detection of diseases plays a significant role in attaining optimal growing conditions olive crops. This study evaluated the use two machine learning algorithms, Random Forest (RF) XGBoost (XGB), conjunction with feature selection methods Recursive Feature Elimination (RFE) Mutual Information (MI), for detecting stress trees using hyperspectral data. The research was conducted Halkidiki, Northern Greece, focused on identifying caused by biotic abiotic factors through...
Microbotryum silybum, a smut fungus, is studied as an agent for the biological control of Silybum marianum (milk thistle) weed. Confirmation systemic infection essential in order to assess effectiveness application and assist decision-making. Nonetheless, situ diagnosis challenging. The presently demonstrated research illustrates identification process systemically infected S. plants by means field spectroscopy multilayer perceptron/automatic relevance determination (MLP-ARD) network. Leaf...