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412 results for “pest species”
Dataset: Relation of pest insect-killing and soilborne pathogen-inhibition abilities to species diversification in environmental Pseudomonas protegens
<p>This dataset is related to "<em>Relation of pest insect-killing and soilborne pathogen-inhibition abilities to species diversification in environmental Pseudomonas protegens</em>" and contains all the data obtained from insect experiments and plant-pathogen inhibition assays, as well as the code used for phylogenetic and Biolog anaylsis. </p>
Figure 9 in A new Colombian pest species of the genus Poecilocloeus Bruner (Orthoptera: Acrididae: Proctolabinae) on coffee, with a key to the Neotropical species
Figure 9. Accumulated mortality of Poecilocloeus coffeaphilus nymphs with a strain of Metarhizium acridum by the immersion method (T1) and spraying (T2), spraying with a commercial formulation of Metarhizium anisopliae (T3) and control treatment with water (T4).
Figure 7 in A new Colombian pest species of the genus Poecilocloeus Bruner (Orthoptera: Acrididae: Proctolabinae) on coffee, with a key to the Neotropical species
Figure 7. Damage caused by adults of Poecilocloeus coffeaphilus n. sp. on coffee plants. A) Close-up of leaf damage. B) Scrapings on the bark of stems and branches. C) Damage of ripe fruit. D-E) Damage of unripe and near ripe fruits. F) Fruits with the pulp consumed. G) Coffee fruits with the exocarp and pulp completely eaten off and the grains exposed.
Figure 5 in A new Colombian pest species of the genus Poecilocloeus Bruner (Orthoptera: Acrididae: Proctolabinae) on coffee, with a key to the Neotropical species
Figure 5. Different stages of development of Poecilocloeus coffeaphilus n. sp. A) First instar. B) Second instar. C) Third instar. D) Fourth instar. E) Fifth instar. F) Sixth instar. G) Adult male. H) Adult female.
Data from: DNA metabarcoding for biodiversity monitoring in a national park: screening for invasive and pest species
<ol> <li><span>DNA metabarcoding was utilized for a large-scale, multi-year assessment of biodiversity in Malaise trap collections from the Bavarian Forest National Park (Germany, Bavaria). </span></li> <li><span>Principal Component Analysis of read count-based biodiversities revealed clustering in concordance with whether collection sites were located inside or outside of the National Park.</span></li> <li><span>Jaccard distance matrices of the presences of BINs at collection sites in the two survey years (2016 and 2018) were significantly correlated.</span></li> <li><span>Overall similar patterns in the presence of total arthropod BINs, as well as BINs belonging to four major arthropod orders across the study area, were observed in both survey years, and are also comparable with results of a previous study based on DNA barcoding of Sanger-sequenced specimens.</span></li> <li><span>A custom reference sequence library was assembled from publicly available data to screen for pest or invasive arthropods among the specimens or from the preservative ethanol.</span></li> <li> <span>A single 98.6% match to the invasive bark beetle </span><span>Ips duplicatus</span><span> was detected in an ethanol sample. This species has not previously been detected in the National Park.</span> </li> </ol>
Development of thrips barcode database and multiplex real-time PCR assay for quarantine and agriculture pest species
<p>Thrips (Order Thysanoptera) species are agriculturally important as plant sap sucking pests and vectors of several plant diseases. They are very small insects and commonly associated with imported commodities at New Zealand border in all life stages. Morphological identification of thrips is mainly performed on adults, but the available identification keys for immature stages do not include many species and are inadequate, thus DNA barcode was regularly used for thrips identification, here, we have generated DNA barcode data for over 29 thrips species from over 100 individuals. At New Zealand border,<em> Frankliniella occidentalis </em>is the dominant species intercepted, followed by <em>F. panamensis</em>, <em>Thrips palmi</em> and <em>T. tabaci </em>and several other thrips species. Hence, we have also developed a multiplex real time PCR assay, targeting the four thrips species to facilitate the identification of quarantine interceptions with more accurate and faster diagnostic method for any developmental stages. The DNA barcode database further assists in thrip identification. The assay showed high specificity for all the four target species and could detect 10 copies/ µL of the target DNA. Linear responses and high correlation coefficients between the amount of DNA and <em>C</em><sub>q</sub> values for each species were also achieved. The method was tested on single egg, larva and adult and proved to be applicable for all life stages of the four species. This study has demonstrated the assay is a useful biosecurity tool for rapid and reliable identification of the target thrips species. </p>
Figures 5a–f in Trapping Records of Fruit Fly Pest Species (Diptera: Tephritidae) on Oahu (Hawaiian Islands): Analysis of Spatial Population Trends
Figures 5a–f. Mean (± S.E.) captures in different habitats for B. cucurbitae in cuelure and torula yeast (a, b), B. dorsalis in methyl eugenol and torula yeast (c, d) and C. capitata in trimedlure and torula yeast (e, f) traps. Units are flies per trap per day in male lure and per week in torula yeast traps.
Figs. 1-18 in Emergent and possible invasive pest species of weevils in Mexico
Figs. 1-18. (1) Conotrachelus perseae Barber; (2) Conotrachelus aguacatae Barber; (3) Conotrachelus dimidiatus Champion; (4) Conotrachelus copalensis Salas and Romero; (5) Heilipus lauri (Boheman); (6) Heilipus albopictus (Champion); (7) Copturus aguacatae Kissinger; (8) Sphenophorus incurrens Gyllenhal; (9) Scyphophorus acupunctatus Gyllenhal; (10) Cactophagus spinolae (Gyllenhal); (11) Apinocis subnudus (Buchanan); (12) Rhyssomatus nigerrimus (Fåhraeus); (13) Epicaerus operculatus (Say); (14) Epicaerus cognatus Sharp; (15) Amphidees latifrons (Sharp); (16) Naupactus cervinus (Boheman); (17) Epicaerus aurifer Boheman; (18) Epicaerus mexicanus Boheman.
Fig. 1. Megalurothrips usitatus A in First report of the exotic species Megalurothrips usitatus (Thysanoptera: Thripidae), pest of Fabaceae, in Puerto Rico
Fig. 1. Megalurothrips usitatus A) females have dark brown colored bodies and B) males have amber, or light brown bodies. The forewings of both sexes have the middle third and extreme tip greyish brown and a distinct clear band near the distal end of forewing.
Fig. 1 in Identification of predatory and parasitoid insect species associated with Melanaphis sacchari (Hemiptera: Aphididae), a sorghum pest in Nuevo León, Mexico
Fig. 1. Melanaphis sacchari predators and parasitoids found in Nuevo León, Mexico. (A) Allograpta sp. in adult status, (B) Chilocorus cacti (lef), and Chilocorus stigma (right), (C) Olla v-nigrum, (D) Chrysoperla sp., (E) Allograpta sp. (lef) in larval status, and Cycloneda sanguinea (right), (F) Hippodamia convergens, (G) Ocyptamus dimidiatus, (H) Scymnus sp., (I) Pachyneuron sp., (J) Aphidius sp., (K) Melanaphis sacchari mummies.
Fig. 5 in Characterization of the entomopathogenic fungal species Conoideocrella luteorostrata on the scale insect pest Fiorinia externa infesting the Christmas tree Abies fraseri in the USA
Fig. 5. Maximum Likelihood phylogenetic reconstruction of Conoideocrella species, using an SSU-LSU-tef1-ITS concatenated dataset with Metarhizium granulomatis (Sigler) Kepler, S.A. Rehner & Humber (Clavicipitaceae) as designated outgroup taxon, and showing host, sexual state and county of isolation. Ex-type species denoted as ExT.
Fig. 4 in Characterization of the entomopathogenic fungal species Conoideocrella luteorostrata on the scale insect pest Fiorinia externa infesting the Christmas tree Abies fraseri in the USA
Fig. 4. Features of Conoideocrella luteorostrata: (A) stromatic tissue (white arrow) on Fiorinia externa (black arrow); (B) details of stromatic hyphae on 10% KOH, 40×; (C) 1 mo old culture on PDA (lef) and oatmeal agar (right); (D) conidiophore; and (E) spores, 100×.
Fig. 3 in Characterization of the entomopathogenic fungal species Conoideocrella luteorostrata on the scale insect pest Fiorinia externa infesting the Christmas tree Abies fraseri in the USA
Fig. 3. Field view of Fiorinia externa collected on Abies fraseri from Glade Creek, North Carolina, USA (FDACS-DPI, sample #2019-6449) (A); its slide-mounted view (B); antennae on submargin of the head with short spur (C); anterior spiracle with pores (D); pygidium with five marginal macroducts (E); close-up of wide macroduct (F); antennae on the margin of head, with a long spur, of F. fioriniae collected on Chamaerops humilis from Ocala, Florida, USA (2019-4546) (G); antennae on the margin of head, with a short spur and processing between antennae, of F. phantasma collected on Ligustrum japonicum from Boynton Beach, Florida, USA (2020-1365) (H); pygidium with 4 marginal macroducts (I); close-up of narrow macroduct (J).
Fig. 2 in Characterization of the entomopathogenic fungal species Conoideocrella luteorostrata on the scale insect pest Fiorinia externa infesting the Christmas tree Abies fraseri in the USA
Fig. 2. Original localities of intercepted shipments of Christmas trees in 2019 (shown as circle) and 2020 (triangle). Samples with entomopathogenic fungus Conoideocrella luteorostrata are colored in blue and without fungus in red. Major cities are shown as black diamonds.
Fig. 1 in Characterization of the entomopathogenic fungal species Conoideocrella luteorostrata on the scale insect pest Fiorinia externa infesting the Christmas tree Abies fraseri in the USA
Fig. 1. Features of Fiorinia externa: (A) 30× view of alive first instar (crawler); (B) 30× view of adult female body (inside cover) with exuviae of first and second instar; (C) naked eye view of entomopathogenic fungus Conoideocrella luteorostrata on different stages of F. externa (black arrow heads); (D) close-up of C. luteorostrata covering F. externa (black arrow heads).
Figure 6 in Key to Florida Alydidae (Hemiptera: Heteroptera) and selected exotic pest species
Figure 6. Images of diagnostic characters for couplets 16-18. (a) Burtinus notatipennis, head, dorsal view; distance between ocelli greater than distance between ocellus and eye; (b) Megalotomus quinquespinosus, head, dorsal view; distance between ocelli less than distance between ocellus and eye; (c) Megalotomus quinquespinosus, scent gland peritreme; arrows indicate two distinct lobes; (d) Alydus pilosulus; scent gland peritreme; arrow indicates single lobe; (e) Alydus pilosulus, head and thorax, lateral view; (f) Alydus eurinus, head and thorax, lateral view.
Figure 5 in Key to Florida Alydidae (Hemiptera: Heteroptera) and selected exotic pest species
Figure 5. Images of diagnostic characters for couplets 12, 14, and 15. (a) Riptortus linearis, head and thorax, lateral view; arrows indicate parallel-sided fascia and ridge-like scent-gland peritreme; (b) Neomegalotomus rufipes, thorax, lateral view; arrows indicate presence of humeral spine and absence of stridulatory apparatus on edge of corium; (c) Alydus eurinus, thorax, lateral view; arrows indicate absence of humeral spine and presence of stridulatory device on edge of corium; (d) Neomegalotomus parvus, scent gland peritreme; arrow indicates weak separation of anterior and posterior lobes; (e) Neomegalotomus rufipes, scent gland peritreme; arrow indicates deep and distinct separation of anterior and posterior lobes.
Figure 3 in Key to Florida Alydidae (Hemiptera: Heteroptera) and selected exotic pest species
Figure 3. Images of diagnostic characters for couplets 4, 5 and 7. (a) Leptocorisa oratorius, abdomen, lateral view; (b) Leptocorisa acuta, abdomen, lateral view; (c) Leptocorisa acuta, arrows indicate markings on collar and humeri; (d) Stenocoris tipuloides, arrows indicate presence of markings behind the eye and on the collar, and absence of markings on the humeri; (e) Stenocoris tipuloides, hemelytra dorsal view; (f) Stenocoris filiformis, hemelytra, dorsal view.
Figure 2 in Key to Florida Alydidae (Hemiptera: Heteroptera) and selected exotic pest species
Figure 2. Images of diagnostic characters for couplet 3. (a) Esperanza texana, arrow indicates vertical spine on apex of scutellum; (b) Protenor australis, head and thorax, lateral view; arrows indicate bifid paraclypei.
Figure 4 in Key to Florida Alydidae (Hemiptera: Heteroptera) and selected exotic pest species
Figure 4. Images of diagnostic characters for couplets 8-11. (a) Stenocoris filiformis, abdomen, ventral view; (b) Stenocoris furcifera, abdomen, ventral view; (c) Stachiocnemus apicalis, thorax, lateral view; arrow indicates apparent lack of scent gland; (d) Megalotomus quinquespinosus, thorax, lateral view; arrow indicates conspicuous scent gland; (e) Hyalymenus (Tivarbus) sp., hind tibia; (f) Megalotomus quinquespinosus, hind tibia; (g) Hyalymenus (Tivarbus) sp., scutellum; arrow indicates straight posterior margin; (h) Riptortus linearis, scutellum; arrow indicates posterior margin with median denticulation.
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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.