Molecular Diagnostic Tools for Nematodes

The phylum of Nematoda is a species‐rich taxonomic group in abundant numbers across a wide range of habitats, including plant and animal pathogens, as well as good environmental health indicators. Morphological observations are of low throughput and more importantly have problems with their discriminatory capacity, particularly at the species level. For these reasons, diagnostic tools are of paramount importance for all fields of human, animal and plant nematology as well as for environmental studies in water and soil. Accurate, fast and low‐cost methodologies are required in order to identify and quantify the population of nematodes in samples from various sources. Scientists in basic research as well as in routine application fields need to have tools for resolving these identification obstacles. Their decisions can be human‐, animal‐ or plant‐health related, while many times legally committing. As a result, applicable and accredited methods are required and should be readily available in a common routine lab or in the field of battle or at border control agencies. This chapter aims to inform with the most current information on the available tools for nematode diagnostics, their positives and negatives and hints about the trends in the field and suggestions for those who would like to pursue further this field of biotechnology as researchers or simple users

Smart Water Management for Irrigation Purposes: The SWSOIP Pproject

It seems that the future scenarios for water resources management are characterized by increasing demand and by the short-term unsustainability of many reservoirs in the Mediterranean basin. To address these scenarios, improved management of water resources was needed for water economy, and water recycling policies. Furthermore, agriculture characterized as the largest water user worldwide and the monitoring of the agriculture via remote sensing techniques is an enormous subject where it used for special scientific applications such as irrigation, precision farming, yield prediction, estimation of evapotranspiration etc. The main objective of this paper is to present the current situation of water resources in the Mediterranean region and present the methodology and main objectives of the SWSOIP project which aims to develop a smart watering system for the irrigation process based on the estimation of evapotranspiration using both in-situ data (spectroradiometric, LAI, CH and meteorological) and Sentinel satellite data

Artificial farm lake detection using spectroradiometric and satellite data

Slurry lakes are increasing in Cyprus due to the increase of livestock farming especially those intended for meat production such as Pig farming. It is well known that Pig Slurry lakes have a huge environmental impact in the atmosphere and the ecosystem by releasing greenhouse gas and polluting nearby habitats with human and animal pathogens, heavy metals, biogenic elements and pharmaceuticals, respectively. Therefore, the detection, record and mapping of slurry lakes is essential for the environmental authorities as also the monitoring of fullness and / or the leaking of each lake especially during the raining season. Through this study we were able to detect pig slurry lakes using Sentinel-2 images processed into the Sentinel Application Platform (Snap). Slurry lake positions and areas similar to slurry lakes, such as Dams and Mine lakes, were detected, pined and analyzed using satellite and ground spectral signatures. Data revealed the ability to detect and distinguish slurry lakes using the vegetation index TSAVI. Due to their small size, irrigation lakes where not detectable as the images from Landsat and Sentinel have 30- and 20-meter spatial resolution. Furthermore, the use of Sentinel Hub EO browser allowed the instant monitoring of slurry lakes but also the elevation level of the slurry lakes during time, using time-lapse images and comparison of images, in combination with the false color Agriculture index. Our observation can be used by the state authorities for the real-time remote sensing monitoring of Slurry lakes.Complete

Artificial farm lake detection using spectroradiometric and satellite data

Slurry lakes are increasing in Cyprus due to the increase of livestock farming especially those intended for meat production such as Pig farming. It is well known that Pig Slurry lakes have a huge environmental impact in the atmosphere and the ecosystem by releasing greenhouse gas and polluting nearby habitats with human and animal pathogens, heavy metals, biogenic elements and pharmaceuticals, respectively. Therefore, the detection, record and mapping of slurry lakes is essential for the environmental authorities as also the monitoring of fullness and / or the leaking of each lake especially during the raining season. Through this study we were able to detect pig slurry lakes using Sentinel-2 images processed into the Sentinel Application Platform (Snap). Slurry lake positions and areas similar to slurry lakes, such as Dams and Mine lakes, were detected, pined and analyzed using satellite and ground spectral signatures. Data revealed the ability to detect and distinguish slurry lakes using the vegetation index TSAVI. Due to their small size, irrigation lakes where not detectable as the images from Landsat and Sentinel have 30- and 20-meter spatial resolution. Furthermore, the use of Sentinel Hub EO browser allowed the instant monitoring of slurry lakes but also the elevation level of the slurry lakes during time, using time-lapse images and comparison of images, in combination with the false color Agriculture index. Our observation can be used by the state authorities for the real-time remote sensing monitoring of Slurry lakes.Complete

Characterization of Rhizoctonia solani Associated with Black Scurf in Cyprus

During 2011, 96 sclerotial isolates of Rhizoctonia solani were collected from potato tubers from all main potato-cultivating regions of Cyprus. All isolates were found to be multinucleate. Characterization of anastomosis groups (AG) based on hyphal anastomosis reactions showed that 91 isolates belonged to AG3 and 5 to AG4. Sequence analysis of the internal transcribed spacer (ITS) regions (ITS1 and ITS2) of ribosomal DNA (rDNA) of 68 isolates confirmed the prevalence of AG3. In addition, phylogenetic analysis found that AG3 isolates were of the potato type, distinctly separated from the AG3 tobacco type, while AG4 isolates were separated into two different subgroups (HGI and HGII). Temperature studies showed that isolates belonging to both AG4 subgroups had significantly higher optimum growth temperatures compared with AG3. In vitro sensitivities to the fungicide pencycuron, in terms of concentrations where 50% growth inhibition was observed, ranged from 0.012 to 0.222 mu g/ml. Pathogenicity and aggressiveness of the isolates was determined on 'Annabelle' potato sprouts and seedlings of a number of selected hosts, based on crop rotations followed in Cyprus. The majority of the isolates were pathogenic to potato sprouts, with disease severity (DS) values ranging from 0 to 88%. Mean DS values were statistically different among AG and subgroups, with AG4-HGI (69.25%) and AG4-HGII (3.12%) being the most and least aggressive, respectively. However, AG4-HGII isolates were the most aggressive in all rotational hosts tested, while AG3 isolates were the least aggressive. More specifically, the highest DS levels by AG4-HGI were recorded to barley, by AG4-HGII to lettuce and melon, and by AG3 isolates to vetch. This is the first comprehensive study to elucidate the AG composition, pathogenicity and other biological aspects of R. solani isolates associated with potato black scurf in Cyprus

Characterization of Rhizoctonia solani Associated with Black Scurf in Cyprus

During 2011, 96 sclerotial isolates of Rhizoctonia solani were collected from potato tubers from all main potato-cultivating regions of Cyprus. All isolates were found to be multinucleate. Characterization of anastomosis groups (AG) based on hyphal anastomosis reactions showed that 91 isolates belonged to AG3 and 5 to AG4. Sequence analysis of the internal transcribed spacer (ITS) regions (ITS1 and ITS2) of ribosomal DNA (rDNA) of 68 isolates confirmed the prevalence of AG3. In addition, phylogenetic analysis found that AG3 isolates were of the potato type, distinctly separated from the AG3 tobacco type, while AG4 isolates were separated into two different subgroups (HGI and HGII). Temperature studies showed that isolates belonging to both AG4 subgroups had significantly higher optimum growth temperatures compared with AG3. In vitro sensitivities to the fungicide pencycuron, in terms of concentrations where 50% growth inhibition was observed, ranged from 0.012 to 0.222 mu g/ml. Pathogenicity and aggressiveness of the isolates was determined on 'Annabelle' potato sprouts and seedlings of a number of selected hosts, based on crop rotations followed in Cyprus. The majority of the isolates were pathogenic to potato sprouts, with disease severity (DS) values ranging from 0 to 88%. Mean DS values were statistically different among AG and subgroups, with AG4-HGI (69.25%) and AG4-HGII (3.12%) being the most and least aggressive, respectively. However, AG4-HGII isolates were the most aggressive in all rotational hosts tested, while AG3 isolates were the least aggressive. More specifically, the highest DS levels by AG4-HGI were recorded to barley, by AG4-HGII to lettuce and melon, and by AG3 isolates to vetch. This is the first comprehensive study to elucidate the AG composition, pathogenicity and other biological aspects of R. solani isolates associated with potato black scurf in Cyprus

Detecting and distinguishing between apicultural plants using UAV multispectral imaging

Detecting and distinguishing apicultural plants are important elements of the evaluation and quantification of potential honey production worldwide. Today, remote sensing can provide accurate plant distribution maps using rapid and efficient techniques. In the present study, a five-band multispectral unmanned aerial vehicle (UAV) was used in an established beekeeping area on Lemnos Island, Greece, for the collection of high-resolution images from three areas where Thymus capitatus and Sarcopoterium spinosum are present. Orthophotos of UAV bands for each area were used in combination with vegetation indices in the Google Earth Engine (GEE) platform, to classify the area occupied by the two plant species. From the five classifiers (Random Forest, RF; Gradient Tree Boost, GTB; Classification and Regression Trees, CART; Mahalanobis Minimum Distance, MMD; Support Vector Machine, SVM) in GEE, the RF gave the highest overall accuracy with a Kappa coefficient reaching 93.6%, 98.3%, 94.7%, and coefficient of 0.90, 0.97, 0.92 respectively for each case study. The training method used in the present study detected and distinguish the two plants with great accuracy and results were confirmed using 70% of the total score to train the GEE and 30% to assess the method's accuracy. Based on this study, identification and mapping of Thymus capitatus areas is possible and could help in the promotion and protection of this valuable species which, on many Greek Islands, is the sole foraging plant of honeybees

A Novel Sorbitol-Based Flow Cytometry Buffer Is Effective for Genome Size Estimation across a Cypriot Grapevine Collection

Flow cytometry (FCM) is a widely used technique to study genome size (C-value), but recalcitrant metabolites in grapevines often hinder its efficiency in grapevine research. The aim of the present study was (i) to develop a novel buffer tailormade for the nuclei isolation of grapevines and (ii) to characterize a Cypriot germplasm collection based on C-values. A local cultivar “Xinisteri” was used as a pilot test to evaluate a Sorbitol-based buffer, while sprouting, young, and fully matured leaves were examined to evaluate the developmental parameter. The novel Sorbitol buffer was shown to have a coefficient of variation (CV) of 4.06%, indicating improved properties compared to other commonly used FCM buffers [WPB (7.69%), LB01 (6.69%), and LB (7.13%), respectively]. In addition, a significant variation in genome size between genotypes was found in a comprehensive application with 24 grape varieties. Nucleic content (2C) ranged from 0.577/1C pg for the “Assyrtiko” cultivar up to 0.597/1C pg for the “Spourtiko” cultivar, revealing a 17.6/1C Mbp difference. The lowest coefficient of variation (CV) across all entries was found in the variety “Ofthalmo” (2.29%), while the highest was observed in “Pinot Noir” (3.44%). Anova analysis revealed several distinct clusters, showing that in several cases, C-values can be used as a simple method to distinguish grapevine cultivars

A Novel Sorbitol-Based Flow Cytometry Buffer Is Effective for Genome Size Estimation across a Cypriot Grapevine Collection

Flow cytometry (FCM) is a widely used technique to study genome size (C-value), but recalcitrant metabolites in grapevines often hinder its efficiency in grapevine research. The aim of the present study was (i) to develop a novel buffer tailormade for the nuclei isolation of grapevines and (ii) to characterize a Cypriot germplasm collection based on C-values. A local cultivar "Xinisteri" was used as a pilot test to evaluate a Sorbitol-based buffer, while sprouting, young, and fully matured leaves were examined to evaluate the developmental parameter. The novel Sorbitol buffer was shown to have a coefficient of variation (CV) of 4.06%, indicating improved properties compared to other commonly used FCM buffers [WPB (7.69%), LB01 (6.69%), and LB (7.13%), respectively]. In addition, a significant variation in genome size between genotypes was found in a comprehensive application with 24 grape varieties. Nucleic content (2C) ranged from 0.577/1C pg for the "Assyrtiko" cultivar up to 0.597/1C pg for the "Spourtiko" cultivar, revealing a 17.6/1C Mbp difference. The lowest coefficient of variation (CV) across all entries was found in the variety "Ofthalmo" (2.29%), while the highest was observed in "Pinot Noir" (3.44%). Anova analysis revealed several distinct clusters, showing that in several cases, C-values can be used as a simple method to distinguish grapevine cultivars

How does land management contribute to the resilience of Mediterranean forests and rangelands? A participatory assessment

In Mediterranean forests and rangelands, the supply of important ecosystem services can decrease or cease as a consequence of disturbances and climatic oscillations. Land managers can sometimes prevent or mitigate the negative effects of disturbances through appropriate land management choices. In this study, we assess the contribution of land management practices (LMPs) to the resilience of eight Mediterranean forests and rangelands to multiple disturbances. The study uses a transdisciplinary approach, involving scientists, land managers, and local administrators. Data about disturbances, ecosystem services, the role of LMPs, and the resistance of LMPs to disturbances are combined using a semiquantitative index and analysed to evaluate how the LMPs implemented are suited to the disturbances affecting each study site. Our results indicate that the practices analysed are particularly effective in improving resilience of ecosystems against wildfires and torrential rainfalls. However, droughts are more difficult to address, and the examined practices were heavily affected by their occurrence. Tree planting appears to be highly affected by disturbances. Practices that selectively reduce the amount of vegetation appear to be beneficial in fostering recovery of ecosystems. Our assessment also suggests that it is particularly difficult to increase resilience to droughts and fires simultaneously. Practices that aimed to mitigate the impact of land use did not always prove valuable in terms of resilience. Finally, study sites that included efforts to address disturbances in their management objectives also displayed practices making the biggest contribution to resilience