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201 results for “Spodoptera”
Figure 8 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 8 Maximum likelihood tree of Spodoptera cosmioides reconstructed based on sequences of the Cytochrome oxidase subunit I gene. Sequences of S. descoinsi (blue), S. evanida, and S.latifascia taken from BOLD Systems were also included.The numbers above the branches indicate bootstrap support (asterisk indicates values below 50%). Bold indicate sequences from French Guiana (blue, S. descoinsi; black, S. cosmioides).
Figure 7 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 7 Variation in Spodoptera cosmioides wing length for populations distributed along a latitudinal gradient in Brazil. Blue and yellow colors correspond to male and female, respectively. Box plots represent medians and quartiles.
Figure 6 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 6 Lectotype of Spodoptera cosmioides (A), paratype of S. descoinsi (B), possible (syn)type of S. latifascia (C), and lectotypeof Prodenia variolosa Walker, a junior synonym of S. latifascia (D), under dorsal view. Dorsal and ventral views of a specimen of S. evanida (E). Scale bar: 10 mm.
Figure 1 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 1 Geographical distribution of Spodoptera cosmioides and S. latifascia from the literature (Pogue, 2002; Dumas et al., 2015), field collection, and museum records obtained in the present study.
Figure 9 Evolutionary relationships within the S in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 9 Evolutionary relationships within the S. latifascia group based on sequences of the Cytochrome oxidase subunit I gene (COI). Median-joining network among COI haplotypes (A). Haplotype frequency is indicated by the circle size (given in the inlet). Distribution of the five haplotypes identified in cosmioides+ descoinsi clade indicated by circles of fixed size, colored, according to the proportion of occurrence for each site (B).
Figure 5 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 5 Variation in dorsal wing color pattern in Spodoptera cosmioides. A-B Rio Branco: A #m, B #f (left forewing); C-D Planaltina: C #m, D #f (left forewing); E-F Chapadão do Sul: E #m, F #f (left forewing); G-H Alegre:G #m, H #f (left forewing); I-J Londrina: I #m, J #f (left forewing); K-L Passo Fundo: K #m, L #f (left forewing). Scale bars: 5 mm, respectively.
Figure 2 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 2 Geographical distribution of Spodoptera evanida and S. descoinsi from the literature (Pogue, 2002; Dumas et al., 2015; GBIF Secretariat, 2023).
Fig 5 in Monitoring Spodoptera frugiperda in Benin: assessing the influence of trap type, pheromone blends, and habitat on pheromone trapping
Fig 5. Phylogenetic tree based on a portion of the COI barcoding segment showing the relationships of selected non-target moth specimens (g54xxx) isolated from fall armyworm pheromone traps relative to selected GenBank sequences. GenBank sequences are indicated by species name followed by accession number. Fall armyworm R-strain and fall armyworm C-strain are consensus sequences for the 2 fall armyworm host strains.
Fig 3 in Monitoring Spodoptera frugiperda in Benin: assessing the influence of trap type, pheromone blends, and habitat on pheromone trapping
Fig 3. Field screening of home-made trap design (Jar2 and Jar4) in comparison to Unitrap model using pheromone lures (all combined) over 2 maize cropping systems (maize monoculture and maize-cowpea intercrops) during the second planting season. The traps were installed on 30 Sep 2019 during the second maize growing season, and the moth collection period covered Oct to Dec. The data denotes average numbers per trap type for overall 3-d intervals moth collections with standard errors.
Fig 2 in Monitoring Spodoptera frugiperda in Benin: assessing the influence of trap type, pheromone blends, and habitat on pheromone trapping
Fig 2. Preliminary field test of pheromone traps using the 2-component fall armyworm pheromone PSU lure during the first maize growing season: comparison between home-made Jar2 trap and Unitrap model (A) (average number per trap type for overall weekly moth collections; error bars represent standard error and different lowercase letters denote statistical difference), and fluctuation in moth trap catch of the Unitrap-2-component lure combination (B) (moth collections were done every 3 d).
Fig 4 in Monitoring Spodoptera frugiperda in Benin: assessing the influence of trap type, pheromone blends, and habitat on pheromone trapping
Fig 4. Moth trap catch of 3 pheromone lures over 2 cropping systems (maize monoculture and maize-cowpea intercrops) using Unitraps. The traps were installed on 30 Sep 2019 during the second maize growing season and allowed to collect moths Oct to Dec 2019. The 4-component lure type (4C) contained Z9-14:Ac (78.3%), (Z)-11-hexadecenyl acetate (Z11-16:Ac) (3.6%), Z7-12:Ac (11.2%), and (Z)-9-dodecenyl acetate (Z9-12:Ac) (7.0%); whereas the 3-component lure type (3C) was composed of Z9-14:Ac (66.1%), Z11-16:Ac (4.7%), and Z7-12:Ac (29.3%); and the 2-component lure type (2C) of Z9-14:Ac (90.5%) and Z7-12:Ac (9.5%). The data represents average numbers for overall 3-d intervals moth collections.
Fig 1 in Monitoring Spodoptera frugiperda in Benin: assessing the influence of trap type, pheromone blends, and habitat on pheromone trapping
Fig 1. Traps used in study: commercially available Unitrap (A); home-made Jar2 trap constructed from 2 L plastic jar (B). The Jar2 trap was designed by G.T. TepaYotto and J.K. Winsou.
Fig. 2 in Biology of Spodoptera eridania and Spodoptera cosmioides (Lepidoptera: Noctuidae) on different host plants
Fig. 2. Number of eggs (mean ± SE) of Spodoptera cosmioides on different sectors of the host canopy (a and c) and host species (b and d) in no-choice (a and b) and free-choice (c and d) tests. Means followed by the same letter did not differ between canopy sectors (bottom, middle, and upper) or different hosts (Tukey's HSD test, p ≤ 0.05).
Fig. 1 in Biology of Spodoptera eridania and Spodoptera cosmioides (Lepidoptera: Noctuidae) on different host plants
Fig. 1. Number of eggs (mean ± SE) of Spodoptera eridania on different sectors of the host canopy (a and c) and host species (b and d) in no-choice (a and b) and free-choice (c and d) tests. Means followed by the same letter did not differ between canopy sectors (bottom, middle, and upper) or different hosts (Tukey's HSD test, p ≤ 0.05).
Fig. 1 in Effect of four multiple nucleopolyhedrovirus isolates on the larval mortality and development of Spodoptera exigua (Lepidoptera: Noctuidae): determination of virus production and mean time to death
Fig. 1. Mean time of death calculated for third-instar larvae of Spodoptera exigua. The numbers above the columns indicate the values calculated for 3 replications. The columns headed by the same letter are not significantly different (Weibull analysis, α = 1.96).
Fig. 3 in Toxicicity and histological changes caused by insecticides in Spodoptera frugiperda (Lepidoptera: Noctuidae) eggs
Fig. 3. Spodoptera frugiperda eggs treated with methomyl novaluron at 72, 96, 120, and 144 h. (A, B) Embryo showing differentiated regions at 72 and 96 h (circle). (C) Embryo at 120 h showing cuticle (ct), midgut (td), and muscle (m) formation. (D) Embryo at 144 h showing muscle (m) and cuticle (ct) formation.
Fig. 2 in Toxicicity and histological changes caused by insecticides in Spodoptera frugiperda (Lepidoptera: Noctuidae) eggs
Fig. 2. Spodoptera frugiperda eggs from the control group at 72 and 96 h (A, B). Eggs treated with α-cypermethrin at 72 and 96 h (C, D). (A) Eggs from the control group at 72 h showing vitellum (v), cuticle (arrow), chorion (circle), and muscle (m) formation. (B) Eggs at 96 h showing embryo with developed striated muscle (m) cuticle (arrow), complete digestive (td) and central nervous systems (supraesophageal ganglion) (sn). (C) Differentiated embryo (circle) at 72 h. (D) Differentiated embryo at 96 h occupying the internal space of the egg, showing normal midgut (td) cells, cuticle (arrow) and advanced stage of muscle development (m).
Fig. 1 in Toxicicity and histological changes caused by insecticides in Spodoptera frugiperda (Lepidoptera: Noctuidae) eggs
Fig. 1. Emergence (%) of Spodoptera frugiperda larvae from 72, 96, 120, and 144 h-old eggs afer insecticide exposure. Different letters within a column indicate significant differences by the Skott-Knott test (P <0.05).
Fig. 3 in Isolation of native strains of entomopathogenic fungi from agricultural soils of northeastern Mexico and their virulence on Spodoptera exigua (Lepidoptera: Noctuidae)
Fig. 3. Changes in the metamorphosis of Spodoptera exigua caused by isolates (HEB1, HIB-12) and collection strains (GHA, Ma) of entomopathogenic fungi under laboratory conditions (26 °C, 65 ± 5% RH, 14:10 h [L:D] photoperiod). (A) HEB1 (Beauveria bassiana); (B) GHA (Beauveria bassiana); (C) HIB-12 (Metharizium anisopliae); (D) Ma (Metharizium anisopliae). Lines in the bars indicate the standard error.
Fig. 2 in Isolation of native strains of entomopathogenic fungi from agricultural soils of northeastern Mexico and their virulence on Spodoptera exigua (Lepidoptera: Noctuidae)
Fig. 2. Interruption of the metamorphosis of Spodoptera exigua caused by isolates (HEB1, HIB-12) and collection strains (GHA, Ma) of entomopathogenic fungi under laboratory conditions (26 °C, 65 ± 5% RH, 14:10 h [L:D] photoperiod). Lines in the bars indicate the standard error.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.