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176 results for “leaf miner”
Figure 3 in The coffee leaf miner, Leucoptera coffeella (Lepidoptera: Lyonetiidae): identification of the larval instars and description of male and female genitalia
Figure 3 Immatures of Leucoptera coffeella. (A) First instar larva. (B) Cephalic capsule of the first larval instar. Arrow indicates chewing mouthpiece. (C) Larva of the second instar. Arrow indicates first body segment. (D) Cephalic capsule of the second larval instar. (E) Larva of the third instar. (F) Cephalic capsule of the third larval instar. (G) Larva of the fourth instar. (H) Cephalic capsule of the fourth larval instar.
Figs. 41–45. Elachista synethes Meyrick, 1897 in A morphological reappraisal of the immature stages and life history of Elachista synethes Meyrick (Lepidoptera, Elachistidae), an Australian leaf miner alien to Chile
Figs. 41–45. Elachista synethes Meyrick, 1897. Life history: 41, mine on leaf of Bromus catharticus, Azapa Valley, Arica municipality, Chile (open arrows indicate empty chorion and beginning of linear section of the mine; closed arrow indicates last-instar larva visible through transparent blotch section of the mine); 42, egg on leaf upper surface; 43, young mine in detail (open and closed arrows indicate respectively the empty chorion and first-instar larva seen by transparence); 44, last-instar larva weaving the cocoon; 45, pupa seen by transparence within cocoon. Scale bars = 2, 0.5, 0.5, and 1 mm, respectively.
Figs. 14–25. Elachista synethes Meyrick, 1897 in A morphological reappraisal of the immature stages and life history of Elachista synethes Meyrick (Lepidoptera, Elachistidae), an Australian leaf miner alien to Chile
Figs. 14–25. Elachista synethes Meyrick, 1897. Scanning electron micrographs of last larval instar: 14, head, lateral view; 15, stemmata, lateral; 16, antenna, lateral; 17, head and prothorax, dorsal; 18, labrum and dorsal stemmata in detail, dorsal; 19, maxilla and labium, ventral; 20, prothorax, ventral; 21, detail of prothorax left portion, dorsal; 22, spiracle of abdominal segment A1, lateral; 23, prothoracic leg, posterolateral; 24, proleg of abdominal segment A4, ventral; 25, last abdominal segments, lateral. Scale bars = 100, 15, 10, 200, 50, 20, 150, 50, 20, 50, 50 and 100 µm, respectively.
Figs. 5–9. Elachista synethes Meyrick, 1897 in A morphological reappraisal of the immature stages and life history of Elachista synethes Meyrick (Lepidoptera, Elachistidae), an Australian leaf miner alien to Chile
Figs. 5–9. Elachista synethes Meyrick, 1897.First larval instar: 5, general, dorsal view; 6, head, ventral; 7, mouth parts, ventral; 8, antenna, laterodorsal; 9, prothoracic spiracle, anterolateral. Scale bars = 100, 25, 5, 5 and 2 µm, respectively.
Figs. 26–28. Elachista synethes Meyrick, 1897. 26 in A morphological reappraisal of the immature stages and life history of Elachista synethes Meyrick (Lepidoptera, Elachistidae), an Australian leaf miner alien to Chile
Figs. 26–28. Elachista synethes Meyrick, 1897. 26, pupa in dorsal, 27, ventral and 28, lateral views, respectively. Scale bar = 300 µm.
Figs. 1–4. Elachista synethes Meyrick, 1897 in A morphological reappraisal of the immature stages and life history of Elachista synethes Meyrick (Lepidoptera, Elachistidae), an Australian leaf miner alien to Chile
Figs. 1–4. Elachista synethes Meyrick, 1897. Egg: 1, dorsolateral view; 2, chorionic cells showing location of aeropyles (indicated by closed arrow in Fig. 1); 3, micropylar region (indicated by open arrow in Fig. 1); 4, aeropyle in detail. Scale bars = 50, 10, 5 and 1 µm, respectively.
Figs. 46–47 in A morphological reappraisal of the immature stages and life history of Elachista synethes Meyrick (Lepidoptera, Elachistidae), an Australian leaf miner alien to Chile
Figs. 46–47. Transverse histological sections of leaf of Bromus catharticus, showing the organization levels of mine of Elachista synethes Meyrick, 1897 in relation to larval ontogeny: 46, first instar, initial, linear section of mine; 47, last instar, final, blotch section of mine. Asterisks indicate leaf mines.Ab abaxial surface of epidermis; Ad adaxial surface of epidermis; Me mesophyll; Ph phloem; Sc sclerenchyma; Xy xylem. Scale bars = 150 and 400 µm, respectively.
Figure 2 in The leaf-miner Nemorimyza Frey, 1946 in the Neotropical region: key to species and first record of Nemorimyza posticata (Meigen, 1830) from Brazil (Diptera, Agromyzidae)
Figure 2 (A-E). Nemorimyza posticata (Meigen), adult male terminalia: (A) cercal plate; (B) postgonite; (C) phallus, ventral view; (D) phallus, lateral view; (E) ejaculatory apodeme. Scale bars: 0.01 mm.
Figure 1 in The leaf-miner Nemorimyza Frey, 1946 in the Neotropical region: key to species and first record of Nemorimyza posticata (Meigen, 1830) from Brazil (Diptera, Agromyzidae)
Figure 1 (A-D). Nemorimyza posticata (Meigen), adult male: (A) lateral view; (B) dorsal view; (C) head, frontal view; (D) abdomen, dorsal view. Scale bars: 1 mm.
Fig. 1 in First report of invasive South American tomato leaf miner Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) in Tajikistan
Fig. 1. Damage (%) of Tuta absoluta on tomato in Tajikistan during Mar to Aug 2016. (A) Dukoni Jamoat, (B) Hissor Jamoat, (C) Guliston Jamoat, (D) Ghayrat Jamoat.
Fig. 2 in Effect of tenthredinid leaf miner invasions on growth of Alaska white birch in Anchorage, Alaska, USA, and the interaction with biological control of amber-marked birch leaf miner
Fig. 2. Time series analysis of mean radial growth increments (mm) of Alaska white birch (Betula neoalaskana) in Anchorage, Alaska (n = 99) from 1984 to 2018: (1) pre-amber-marked birch leaf miner (Profenusa thomsoni) outbreak control period (1984–1995) (black dots); (2) amber-marked birch leaf miner outbreak period (1996–2007) (red dots); and (3) the amber-marked birch leaf miner suppression period due to biological control (2008–2018) (green dots). Time Series Mean = 1.7938, Std = 0.3843, N = 35, Zero Mean ADF (Augmented Dickey Fuller test) = −0.9887, Single ADF = −2.8315, Trend ADF = −4.8800.
Fig. 1 in Effect of tenthredinid leaf miner invasions on growth of Alaska white birch in Anchorage, Alaska, USA, and the interaction with biological control of amber-marked birch leaf miner
Fig. 1. Percentage of Alaska white birch (Betula neoalaskana) leaves in Anchorage mined by the amber-marked birch leaf miner (AMBLM on graph) (Profenusa thomsoni) or the late birch leaf edge miner (LEM on graph) (Heterarthrus nemoratus) from 1990 to 2019, from the initial invasion of amber-marked birch leaf miner (around 1991) through its suppression by classical biocontrol (2004– 2015) and the invasion of a second species of leaf miner (H. nemoratus) (around 2008). Data on percentage of birch leaves mined by each species were taken from multiple sources: (1) P. thomsoni: 2006–2011 (Soper et al. 2015); 2015 and 2018 (Wenninger unpublished 2018); and 2019 (Andersen et al. 2021); and (2) H. nemoratus: 2008–2010 (Lundquist et al. 2012); 2011 (Mulvey &Lamb 2012, p. 15); 2015 and 2018 (Wenninger unpublished 2018); and 2019 (Andersen et al. 2021).
Fig. 3 in Effect of tenthredinid leaf miner invasions on growth of Alaska white birch in Anchorage, Alaska, USA, and the interaction with biological control of amber-marked birch leaf miner
Fig. 3. Trends in annual radial growth increment (mm) from Alaska white birch (Betula neoalaskana) in Anchorage, Alaska (n = 99 cores) during each of 3 periods: (A) the pre-amber-marked birch leaf miner (Profenusa thomsoni) outbreak period (1984–1995, (B) the amber-marked birch leaf miner outbreak period (1996– 2007), and (C) the biological control amber-marked birch leaf miner suppression period (2008–2018).
Climate-driven thermal opportunities and risks for leaf miners in aspen canopies
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Long term consequences of aspen leaf miner outbreak for plant performance
This dataset represents the results of experimental suppression of herbivory by the aspen leaf miner, Phyllocnistis populiella, over a period of seven years, between 2005 and 2012. There were two study sites, one at Bonanza Creek LTER and the other near the summit of Ester Dome. Reported here are mortality, die-back, and initial and final sizes of aspen ramets.
Consequences of aspen leaf miner outbreak for plant performance
This dataset represents the results of experimental suppression of herbivory by the aspen leaf miner, Phyllocnistis populiella, over a period of three years, 2005 to 2007. There were two study sites, one at Bonanza Creek LTER and the other near the summit of Ester Dome. Reported here are herbivory and growth of aspen ramets.
Tree ring, leaf mining, climate, and remote sensing data from aspen leaf miner survey sites: I - Basal area increment and d13C
This dataset contiains basal area increment (BAI) and d13C chronologies of 47 aspen cored in 2016 across four sites where leaf mining has been documented since 2004. Chronologies of BAI extend as far back as 1957 and up to 2015. Tree ring d13C chronologies extend from 2004-2015 and were measured on 23 trees from two fo the four sites.
Tree ring, leaf mining, climate, and remote sensing data from aspen leaf miner survey sites: II - Tree DBH and age
This dataset contiains tree level measurements of diameter at breast height (DBH) and age of aspen that were sampled in 2015 for tree ring anlyses. The tree ages provided are the age of the tree in 2015.
Ancient insect vision tuned for flight amongst rocks and plants underpins natural flower colour diversity - rock, mineral, stick, bark, leaf, bird- and insect-flower petal reflectance spectra
<p>Understanding the origins of flower colour signalling to pollinators is fundamental to evolutionary biology and ecology. Flower colour evolves under pressure from visual systems of pollinators, like birds and insects, to establish global signatures among flowers with similar pollinators. However, an understanding of the ancient origins of this relationship remains elusive. Here, we employ computer simulations to generate artificial flower backgrounds assembled from real material sample spectra of rocks, leaves, and dead plant materials, against which to test flowers' visibility to birds and bees. Our results indicate how flower colours differ from their backgrounds in strength, and the distributions of salient reflectance features when perceived by these key pollinators, to reveal the possible origins of their colours. Since Hymenopteran visual perception evolved before flowers, the terrestrial chromatic context for its evolution to facilitate flight and orientation consisted of rocks, leaves, sticks, and bark. Flowers exploited these pre-evolved visual capacities of their visitors, and in response evolved chromatic features to signal to bees, and differently to birds, against a backdrop of other natural materials. Consequently, it appears that today's flower colours may be an evolutionary response to the vision of diurnal pollinators navigating their world millennia prior to the first flowers.</p>
Ancient insect vision tuned for flight amongst rocks and plants underpins natural flower colour diversity - rock, mineral, stick, bark, leaf, bird- and insect-flower petal reflectance spectra
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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.