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52 results for “plant detection”
Does pre-sorting by colour using visible and high-energy violet light improve the detection of plant species in honey bee pollen baskets?
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Neighbor-detection causes shifts in allocation across multiple organs to prepare plants for light competition
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DQ-1 Aerosols and Carbon Dioxide Lidar detects orbital data on power plant emissions
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Data: Detecting preservation and reintroduction sites for endangered plant species using a two-step modelling and field approach
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Variation in plant leaf traits affects transmission and detectability of herbivore vibrational cues
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Auxiliary supplementary material for the study on plant diversity relationships with satellite-detected phenological variability in USA wetlands at a national scale
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Data from: Spotting the pests of tomorrow - Sampling designs for detection of species associations with woody plants
Aim: Early warning against potentially harmful organisms of woody plant species can be achieved by sampling sentinel plants in exporting countries. However, it is unclear where sentinel plants can best be located, and how many samples are required and when and how often sampling optimally should take place for the adequate assessment of the biodiversity associated with the target plant species. We aimed to review spatial and temporal factors affecting associate biodiversity of single woody plant species and to develop guidance for the design of global biodiversity sampling studies. Location: Worldwide. Taxon: Insects and Fungi. Methods: Literature about factors affecting the diversity of insects and fungi in association with single plant species on global, regional, local and different temporal scales was reviewed. Case studies of insect and fungal diversity, primarily collected on single plant species, and the cost of collecting and analysing samples from locations around the world were analysed. Results: The review of the literature illustrated various factors affecting diversity, and the case studies allowed quantification of the relative impact of some spatial, temporal and financial aspects on captured biodiversity and, thus, illustrate the need to consider all possible factors that may affect the result of the sampling when deciding on a sampling design. Main conclusions: Our study illustrates the factors that should be considered when deciding on the location and timing of sampling for sentinel plants, which is important because of the trade-off between the number of samples and sampling locations needed to detect many of the species which may be potential pests, and the cost of (repeated) sampling in many locations. Decisions about the sampling design must be based on the objective of the sampling, but our recommendations apply irrespective of the targeted plant species or country.
Data from: Crop-associated virus infection in a native perennial grass: reduction in plant fitness and dynamic patterns of virus detection
To understand the eco-evolutionary significance of plant viruses in nature, we must (i) quantify the effects of infection on plant fitness and (ii) recognize that native plants are increasingly exposed to crop-associated viruses. Studies of perennials are particularly needed: most of our knowledge of plant-virus interactions is from annuals, yet long-lived species dominate landscapes. Here we used aster models for life-history analysis and longitudinal measures of plant virus status to evaluate multi-year consequences of crop virus infection in a native perennial. We used Barley yellow dwarf virus acquired from wheat to inoculate seedlings of Panicum virgatum L. (switchgrass), a North American prairie grass. We grew inoculated and mock-inoculated individuals of two ecotypes for 3 years in the field. We measured plant size, infection status and fitness components. Aster modelling provided integrated multi-year measures of fitness. Crop virus inoculation reduced multi-year native plant fitness by 30% over 2 years despite generally asymptomatic infection and evidence of resistance. This reduction was greater than predicted from individual fitness components or most size measures. Ecotypes differed in response, with the lowland ecotype experiencing higher apparent recovery from infection. Virus treatment in the upland ecotype delayed flowering phenology and reduced seed filling. Synthesis. Our use of field experimentation, surveys of plant infection status and aster modelling demonstrates a rigorous and broadly applicable approach for quantifying the effects of viruses and other microbes on multi-year plant fitness. We found that a crop virus had negative multi-year effects on native plant fitness even after infection was no longer detected. Viruses may have substantial effects on native vegetation with domestication of landscapes and agricultural expansion.
All-Inkjet-Printed Humidity Sensors for the Detection of Relative Humidity in Air and Soil—Towards the Direct Fabrication on Plant Leaves
<p>We demonstrate the fabrication, by exclusive means of inkjet-printing, of capacitive relative humidity sensors on flexible, plastic substrate. These sensors can be successfully used for the measurement of relative-humidity in both air and common soil. We also show that the same technique may be used for the fabrication of the same type of sensors on the surface of the leaves of Elægnus Ebbingei (silverberry).Our results demonstrate the suitability of leaves as substrate for printed electronics and pave the way to the next generation of sensors to be used in fields such as agriculture and flower farming.</p>
FIGURE. Phylogenetic tree of specimens on Poaceae and related host plants constructed by MP method based on ITS+28S regions of rDNA. Bootstrap values of MP and ML are followed by the Bayesian posterior probabilities (Bpp) on the nodes in the topology. Asterisk (*) represents bootstrap values or Bpp less than 50% in the topology. Sample data are shown with voucher specimen number or GenBank accession number, and host plant. Sequence data determined in this study are shown in color. Teliospore shapes are shown in each clade detected, and new species are shown by asterisk (*) on clades. 0, I: Spermogonial and aecial host genus. Asterisk (*) on host plants: Spermogonial and aecial host plants. in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE. Phylogenetic tree of specimens on Poaceae and related host plants constructed by MP method based on ITS+28S regions of rDNA. Bootstrap values of MP and ML are followed by the Bayesian posterior probabilities (Bpp) on the nodes in the topology. Asterisk (*) represents bootstrap values or Bpp less than 50% in the topology. Sample data are shown with voucher specimen number or GenBank accession number, and host plant. Sequence data determined in this study are shown in color. Teliospore shapes are shown in each clade detected, and new species are shown by asterisk (*) on clades. 0, I: Spermogonial and aecial host genus. Asterisk (*) on host plants: Spermogonial and aecial host plants.
Data from: Using a comprehensive DNA barcode library to detect novel egg and larval host plant associations in a Cephaloleia Rolled-leaf Beetle (Coleoptera: Chrysomelidae)
To fully understand the ecology and evolution of plant-herbivore interactions, information regarding the life history of both immature and adult insect stages is essential. However, most knowledge of plant-herbivore associations is derived from observations of adults. One reason for this bias is that species identification of immature stages is usually challenging. DNA barcodes can be used to identify immature stages to the species-level. This technique compares short sequences of the appropriate DNA barcode loci (e.g., mitochondrial COI gene for insects) of an unidentified specimen to a known DNA barcode library. The accuracy of DNA-based identifications depends on the comprehensiveness of the DNA barcode library. We generated a comprehensive DNA barcode library for a community of Rolled-leaf Beetles (Coleoptera: Chrysomelidae) in a premontane tropical forest in Costa Rica. The DNA barcode COI accurately identified all beetle species included in this study. Using this DNA barcode library, we identified eggs and larvae of Cephaloleia histrionica Baly with 100% confidence. This new record of C. histrionica is unique in that this species completes its life cycle on a bromeliad, whereas most Cephaloleia species are associated with plants from the order Zingiberales. The life cycle, diet breadth, immature stages, and sexual dimorphism are described for C. histrionica.
Nanopore Sequencing of Double-Stranded RNA (dsRNA) for Plant Virus and Viroid Detection
<p>Thi file contain results of 24 grapevines leaf samples analyzed using dsRNA-MiSeq (Illumina Miseq) and dsRNAcD sequencing (ONT nanopore), that were used in the following article ''<strong>Nanopore Sequencing of Double-Stranded RNA (dsRNA) for Plant Virus and Viroid Detection'' </strong> submitted in Frontiers in Microbiology </p>
Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions
<p>Animal pollinators are vital for the reproduction of ~90% of flowering plants. However, many of these pollinating species are experiencing declines globally, making effective pollinator monitoring methods more important than ever before. Pollinators can leave DNA on the flowers they visit, and metabarcoding of these environmental DNA (eDNA) traces provides an opportunity to detect the presence of flower visitors. Our study, collecting flowers from seven plant species with diverse floral morphologies, for eDNA metabarcoding analysis, illustrated the value of this novel survey tool. eDNA metabarcoding using three assays, including one developed in this study to target common bush birds, recorded more animal species visiting flowers than visual surveys conducted concurrently, including birds, bees, and other species. We also recorded the presence of a flower visit from a western pygmy possum; to our knowledge, this is the first eDNA metabarcoding study to simultaneously identify the interaction of insect, mammal, and bird species with flowers. The highest diversity of taxa was detected on large inflorescence flower types found on <em>Banksia arborea </em>and <em>Grevillea georgeana</em>. The study demonstrates that the ease of sample collection and the robustness of the metabarcoding methodology have profound implications for future management of biodiversity, allowing us to monitor both plants and their attendant cohort of potential pollinators. This opens avenues for rapid and efficient comparison of biodiversity and ecosystem health between different sites and may provide insights into surrogate pollinators in the event of pollinator declines.</p>
Data from: Using a comprehensive DNA barcode library to detect novel egg and larval host plant associations in a Cephaloleia Rolled-leaf Beetle (Coleoptera: Chrysomelidae)
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Data from: Spotting the pests of tomorrow - Sampling designs for detection of species associations with woody plants
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Data from: Crop-associated virus infection in a native perennial grass: reduction in plant fitness and dynamic patterns of virus detection
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Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions
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Data for: Sequencing and variant detection of eight abundant plant-infecting tobamoviruses across Southern California wastewater
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On-site plant pathogen detection methods and introduction to microfluidics
<p>On June 24, 2020, IPANEMA organized the fourth Scientific online lecture (SOL4). The lesson was held by Dr. Cor Schoen from <a href="https://www.wur.nl/">Wageningen University & Research</a>, who brought us closer to different possible approaches for pathogen detection on the field.</p>
Data from: The effect of plant identity and mixed feeding on the detection of seed DNA in regurgitates of carabid beetles
Carabids are abundant in temperate agroecosystems and play a pivotal role as biocontrol agents for weed seed and pest regulation. While there is good knowledge regarding their effects on invertebrate pests, direct evidence for seed predation in the field is missing. Molecular approaches are ideally suited to investigate these feeding interactions; however, the effects of an omnivorous diet, which is characteristic for many carabid species, and seed identity on the detection success of seed DNA has not yet been investigated. In a series of feeding experiments, seeds of six different Central European weed species were fed to beetles of the species Pseudoophonus rufipes, to determine post-feeding seed DNA detection rates and how these are affected by plant identity, meal size and chemical seed composition. Moreover, we investigated the effect of a mixed diet of seed and mealworm on prey DNA detection. Four out of six seed species were detectable for up to five days after consumption and seed species identity significantly affected post-feeding detection rates. Detectability was negatively influenced by protein content and seed mass, whereas oil content and meal size had a positive effect. The mixed diet led to both increased detection rates and post-feeding detection intervals of seed DNA. This suggests that mixed feeding leads to an enhancement of food detection intervals in carabid beetles and that seed identity, their chemical composition and meal size can affect DNA detection of consumed seeds. These aspects and potential implications of this non-invasive approach are discussed as they can become highly relevant for interpreting field derived data.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.