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95 results for “Ailanthus”
Ailanthus altissima (Mill.) Swingle (BR0000024928854)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ailanthus altissima (Mill.) Swingle (BR0000024928786)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ailanthus altissima (Mill.) Swingle (BR0000024928779)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ailanthus altissima (Mill.) Swingle (BR0000024929004)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ailanthus altissima (Mill.) Swingle (BR0000024928816)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ailanthus altissima (Mill.) Swingle (BR0000024928960)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ailanthus altissima (Mill.) Swingle (BR0000024928724)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ailanthus altissima (Mill.) Swingle (BR0000024928694)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ailanthus altissima (Mill.) Swingle (BR0000024928922)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ailanthus altissima (Mill.) Swingle (BR0000024928946)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ailanthus altissima (Mill.) Swingle (BR0000024928823)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ailanthus altissima (Mill.) Swingle (BR0000024929011)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ailanthus altissima (Mill.) Swingle (BR0000012252787)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Text-fig. 13. Typical elements of the flora of Velikaya Kema (coll. Geol. Inst. RAS Moscow). 1 – Abies sp. 1, twig, × 0.7; 2 – Larix sp., seed cone, × 0.7; 3 – Calocedrus sp., twig, × 0.7; 4 – Picea sp., seed, × 0.8; 5 – Abies sp. 2, seed, × 0.7; 6 – Metasequoia occidentalis (NEWBERRY) CHANEY, leafy shoot, × 0.7; 7 – Ostrya sp., involucre, × 0.7; 8 – Carpinus sp. (ex gr. C. cordata BLUME), involucre, × 0.7; 9 – Carpinus sp. 2 (ex gr. C. tschonoskii MAXIMOVITCH), involucre, × 0.7; 10 – Ulmus sp., leaf, × 0.7; 11 – Acer miocaudatum HU et CHANEY, leaf, × 0.8; 12 – Engelhardia (Alfaropsis) koreanica OISHI, ×; 13 – Comptonia naumannii NATHORST, leaf, × 0.7; 14 – Craigia oregonensis (ARNOLD) KVAČEK, BŮžEK et MANCHESTER, capsule valve, × 0.6; 15 – Cercidiphyllum crenatum (UNGER) R. BROWN, leaf, × 0.7; 16 – Sassafras subtriloba (KONNO) TANAI, leaf, × 0.7; 17 – Dicotylophyllum sp., leaf, × 0.7; 18 – Quercus kodairae HUZIOKA, leaf, × 1; 19 – Carpinus subcordata NATHORST, leaf, × 0.7; 20 – Ailanthus sp., fruit, × 1; 21 – Diospyros miokeaki HU et CHANEY, leaf, × 0.5. in Mid-Latitude Palaeogene Floras Of Eurasia Bound To Volcanic Settings And Palaeoclimatic Events - Experience Obtained From The Far East Of Russia (Sikhote-Alin') And Central Europe (Bohemian Massif)
Text-fig. 13. Typical elements of the flora of Velikaya Kema (coll. Geol. Inst. RAS Moscow). 1 – Abies sp. 1, twig, × 0.7; 2 – Larix sp., seed cone, × 0.7; 3 – Calocedrus sp., twig, × 0.7; 4 – Picea sp., seed, × 0.8; 5 – Abies sp. 2, seed, × 0.7; 6 – Metasequoia occidentalis (NEWBERRY) CHANEY, leafy shoot, × 0.7; 7 – Ostrya sp., involucre, × 0.7; 8 – Carpinus sp. (ex gr. C. cordata BLUME), involucre, × 0.7; 9 – Carpinus sp. 2 (ex gr. C. tschonoskii MAXIMOVITCH), involucre, × 0.7; 10 – Ulmus sp., leaf, × 0.7; 11 – Acer miocaudatum HU et CHANEY, leaf, × 0.8; 12 – Engelhardia (Alfaropsis) koreanica OISHI, ×; 13 – Comptonia naumannii NATHORST, leaf, × 0.7; 14 – Craigia oregonensis (ARNOLD) KVAČEK, BŮžEK et MANCHESTER, capsule valve, × 0.6; 15 – Cercidiphyllum crenatum (UNGER) R. BROWN, leaf, × 0.7; 16 – Sassafras subtriloba (KONNO) TANAI, leaf, × 0.7; 17 – Dicotylophyllum sp., leaf, × 0.7; 18 – Quercus kodairae HUZIOKA, leaf, × 1; 19 – Carpinus subcordata NATHORST, leaf, × 0.7; 20 – Ailanthus sp., fruit, × 1; 21 – Diospyros miokeaki HU et CHANEY, leaf, × 0.5.
Ailanthus altissima (Simaroubaceae) - whole tree (or vine) - general
Image of Ailanthus altissima (Simaroubaceae) - whole tree (or vine) - general
Ailanthus altissima (Simaroubaceae) - whole tree (or vine) - winter
Image of Ailanthus altissima (Simaroubaceae) - whole tree (or vine) - winter
Data from: Analysis of microsatellite loci in tree of heaven (Ailanthus altissima (Mill.) Swingle) using SSR-GBS
Microsatellite markers are still the marker of choice for many research questions in the field of forest genetics. However, the number of available markers is often low for species that have not been studied intensively like the tree of heaven (Ailanthus altissima). During the last decade, next generation sequencing (NGS) has offered advanced techniques for efficiently identifying microsatellite markers and accurately genotyping samples. Here, we identify new microsatellite markers for the tree of heaven by applying an NGS-based method using the Illumina MiSeq platform. NGS technology was proved to be an effective method for fast and cost-efficient identification of microsatellite markers by implementing a genotyping-by-sequencing approach based on Illumina amplicon sequencing (SSR-GBS). We screened three populations from Eastern Austria for genetic variation at 19 newly identified microsatellite loci. We tested two different genotyping approaches: (1) considering only allele lengths (forming a so-called 'allele length dataset'), (2) taking also single nucleotide polymorphisms (SNPs) within the amplified fragments into account (forming a so-called 'SNP dataset'). The results revealed higher values for all genetic diversity parameters, as well as a better resolution of genetic assignment, when the latter approach was followed. Thus, by taking advantage of sequence information which is provided by SSR-GBS, one may achieve considerable gains in performance using the same marker set. The developed markers provide a cost-efficient tool for genotyping populations of tree of heaven and the approach presented here promises to be of high value for medium throughput genotyping applications in non-model forest tree species. We will use this method to widen the perspectives for further population genetic investigations of the tree of heaven.
Supplementary material 1 from: Erdélyi A, Hartdégen J, Malatinszky Á, Vadász C (2023) Historical reconstruction of the invasions of four non-native tree species at local scale: a detective work on Ailanthus altissima, Celtis occidentalis, Prunus serotina and Acer negundo. One Ecosystem 8: e108683. https://doi.org/10.3897/oneeco.8.e108683
Derived data of Ailanthus altissima, Celtis occidentalis, Prunus serotina and Acer negundo from the National Forestry Database and its archives.
FIGURE 1 in The identity of Ailanthus guangxiensis (Simaroubaceae) and lectotypification of A. integrifolia Lamarck
FIGURE 1. Holotype of Ailanthus guangxiensis S.L.Mo ex C.F.Liang & S.L.Mo, IBK 00191069 (Reproduced with permission from IBK). The arrows show the large glands at the base of the lamina.
FIGURE 2 in The identity of Ailanthus guangxiensis (Simaroubaceae) and lectotypification of A. integrifolia Lamarck
FIGURE 2. The samara morphology of Ailanthus with entire-margined leaflets. A–B: Ailanthus guangxiensis (Longgang Exped. 10696, IBK 00191069); C–D: Ailanthus integrifolia (Jenkins 45, K 000651364, one of syntypes of A. grandis); E–F: A. fordii (58 Exer. Exped. 769, PE 01932586); G–H: A. triphysa (Ahern 93, US 00516830); I: A. vietnamensis (from Sam & Nooteboom (2007)). The ventral vein (v) is strictly marginal in A–D and intramarginal in E–I. The stylar scar (s) is beneath the seed in A–D, above the seed in E–F, and at the same level as the middle of the seed in G–H. Although Sam & Nooteboom (2007) stated the stylar scar about at same level as base of the seed, it is about at the same level as the middle of the seed in I.
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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)
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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.