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245 results for “Rust”
FIGURE 8 in Crossopsorella, a new tropical genus of rust fungi
FIGURE 8. Image of the holotype of Cronartium byrsonimae deposited at Herbarium B on July 1904 by Puttemans under number 1140. A. Leaf of Byrsonima coccolobifolia; arrow indicates a group of telia. B. Original drawings by Paul Hennings including measurements for a telium (3 mm × 100 μm), teliospores (40–70 × 12–18 μm), and urediniospores (30–40 × 22–30 μm). C–D. Copies of the original labels of the material deposited at Herbarium B. Reproduced by permission of Dr. Robert Vogt, Curator of Herbarium B, Botanischer Garten und Botanisches Museum Berlin-Dahlem, Freie Universität Berlin.
FIGURE 7 in Crossopsorella, a new tropical genus of rust fungi
FIGURE 7. Crossopsorella byrsonimae on Byrsonima coccolobifolia (UB Mycol. Col. 22259). A. Columnar telium (arrow) under a stereomicroscope. B. Structural details of a columnar telium. C. Sporogenous cells (arrow) generating teliospores in basipetal succession. D. Metabasidium originated by germination of a teliospore.
FIGURE 6 in Crossopsorella, a new tropical genus of rust fungi
FIGURE 6. Telia of Crossopsorella byrsonimae on Byrsonima coccolobifolia (UB Mycol. Col. 22259) under SEM. A. Residual paraphyses around the telial base (arrow). B. Details of apically broken paraphyses. C–D. Telial surface with one germ pore per teliospore as indicated by arrows.
FIGURE 5 in Crossopsorella, a new tropical genus of rust fungi
FIGURE 5. Uredinia of Crossopsorella byrsonimae on Byrsonima coccolobifolia (UB Mycol. Col. 22259) under SEM. A–B. Paraphysate uredinium. C. Detail of segmented paraphyses. D. Urediniospores.
FIGURE 4 in Crossopsorella, a new tropical genus of rust fungi
FIGURE 4. Uredinium of Crossopsorella byrsonimae on Byrsonima coccolobifolia (UB Mycol. Col. 22259) seen in cross section under a light microscope.
FIGURE 1 in Crossopsorella, a new tropical genus of rust fungi
FIGURE 1. BI 50% majority-rule consensus tree of the Pucciniales reconstructed from 28S sequences. Thickened branches represent BPP>0.98 and BS>95%. Tip labels in red represent sequences from our new Crossopsorella samples. Blue labels indicate the names of plant hosts.
FIGURE 3 in Crossopsorella, a new tropical genus of rust fungi
FIGURE 3. Aecia of Crossopsorella byrsonimae on Byrsonima coccolobifolia (UB Mycol. Col. 22259) in stereomicroscopy.
FIGURE 2 in Crossopsorella, a new tropical genus of rust fungi
FIGURE 2. Crossopsorella byrsonimae on Byrsonima coccolobifolia (UB Mycol. Col. 22259). A–B. Spermogonia. C. Inner surface of the aecial peridium. D. Aeciospores seen at a superficial focus in light microscopy in contrast with a group of peridial cells. E. Same aeciospores as in D, but seen at a deeper focus in light microscopy, contrasting with a group of peridial cells.
Supplemental Data- Figures and Tables-Soft Red Winter Wheat Elite Germplasm Screening and Evaluation for Strip Rust in the US Southeast Region
Open the record for dataset details and reuse information.
Rust QSim Simulation Experiment
<p>This dataset contains input and output data of the Simulation Experiment conducted for the article “Accelerating Traffic Flow Modeling: A parallel distributed Mobility Simulation Prototype for MATSim”, which is submitted to Algorithms (ISSN: 1999-4893). </p> <ul> <li>input.zib contains input files for the presented simulation setups</li> <li>output_runtimes.zib contains output files from which the overall runtimes, the real time ration, and the speedup are calculated</li> <li>output_tracing.zib contains output files from which the detailed timings used in the investigation of the algorithm are derived</li> </ul>
FIGURE 1 in A new species of rust fungus on the New Zealand endemic plant, Myosotidium, from the isolated Chatham Islands
FIGURE 1. Pucciniastrum myosotidii on Myosotidium hortensii. A. Adaxial view. Scale bar = 5 mm B. Abaxial view. Scale bar = 5 mm C. Urediniospores. Composite image. Scale bar = 10 μm D. Urediniospores. Scale bar = 10 μm
FIGURE 2 in A new species of rust fungus on the New Zealand endemic plant, Myosotidium, from the isolated Chatham Islands
FIGURE 2. Phylogram obtained from maximum likelihood analysis of nuclear LSU rDNA. Bootstrap support values (> 50%) from a maximum likelihood search with 1000 replicates shown.
FIGURE 3 in A new species of rust fungus on the New Zealand endemic plant, Myosotidium, from the isolated Chatham Islands
FIGURE 3. Phylogram obtained from maximum likelihood analysis of nuclear rDNA loci, LSU and SSU. Bootstrap support values (> 50%) from a maximum likelihood search with 1000 replicates shown.
Haplotype-based genome-wide association increases the predictability of leaf rust (Puccinia triticina) resistance in wheat
<p></p><p>Resistance breeding is crucial for a sustainable control of wheat leaf rust and SNP-based genome-wide association studies (GWAS) are widely used to dissect leaf rust resistance. Unfortunately, GWAS based on SNPs explained often only a small proportion of the genetic variation. We compared SNP-based GWAS with a method based on functional haplotypes (FH) considering epistasis in a comprehensive hybrid wheat mapping population composed of 133 parents plus their 1,574 hybrids and characterized with 626,245 high-quality SNPs. In total, 2,408 and 1,139,828 significant associations were detected in the mapping population by using SNP-based and FH-GWAS, respectively. These associations mapped to 25 and 69 candidate regions, correspondingly. SNP-based GWAS highlighted two already-known resistance genes, i.e. Lr22a and Lr34-B, while FH-GWAS not only detected associations on these genes but also on two additional genes, i.e. Lr10 and Lr1. As revealed by a second hybrid wheat population for independent validation, using detected associations from SNP-based and FH-GWAS reached predictabilities of 11.72% and 22.86%, respectively. Therefore, FH-GWAS is not only more powerful to detect associations, but also improves the accuracy of marker-assisted selection as compared to the SNP-based approach.</p><p></p>
FIGURE 5. A–D in Contributions to the knowledge and distribution of Pucciniales (rust fungi) in three Brazilian biomes
FIGURE 5. A–D: Aecidium vinnulum: A–B: Peridial cells: A: Outer facing; B: Inner facing; C–D: Aeciospores: C: Medial view; D: Superficial view; E–I: Catenulopsora hennenae: E–F: Urediniospores: E: Medial view; F: Superficial view; G–H: Paraphyses; I: Teliospores; J–K: Urediniospores of Chaconia brasiliensis: J: Medial view; K: Superficial view; L–M: Urediniospores of Chaconia maprouneae: L: Medial view; M: Superficial view; N–P: Cionothrix praelonga: N: Spermogonium; O: Aspect of the teliospore chain; P: Teliospores; Bars: A–H, J–M, O–P = 10 μm; I = 20 μm; N = 40 μm.
FIGURE 1 in Contributions to the knowledge and distribution of Pucciniales (rust fungi) in three Brazilian biomes
FIGURE 1. Location map of the representative areas of the Amazon Forest, Atlantic Forest and Cerrado biomes studied (map prepared by P.W.P. Gomes).
FIGURE 4. New records from Brazil. A in Contributions to the knowledge and distribution of Pucciniales (rust fungi) in three Brazilian biomes
FIGURE 4. New records from Brazil. A: Teriospores of Chaconia clusiae; B–D: Puccinia phyllostachidis: B: Urediniospore (arrow) and uredinial captate paraphyses; C: Urediniospore in median view; D: Urediniospore in superficial view; E–G: Puccinia parianicola: E-F: Urediniospores and paraphyses; E: Median view; F: Superficial view; G: Teliospores. Bars: A, C, D, E, F, G = 10 μm; C = 20 μm.
FIGURE 3 in Contributions to the knowledge and distribution of Pucciniales (rust fungi) in three Brazilian biomes
FIGURE 3. Distribution of Pucciniales species in each genus by biomes. A: Amazon Forest; B: Atlantic Forest, and C: Cerrado.
FIGURE 6. A–G in Contributions to the knowledge and distribution of Pucciniales (rust fungi) in three Brazilian biomes
FIGURE 6. A–G: Crossopsora angusta: A: Uredinia; B–C: Urediniospores: B: Medial view; C: Superficial view; D–E: Uredinal paraphyses; F: General appearance of the Telia and telial paraphyses (arrow); G: Teliospores; H–L: Crossopsorella byrsonimae: H–I: Urediniospores: H: Medial view; I: Superficial view; J: Paraphyses; K: General appearance of the Telia; L: Teliospores; M–N: Phakopsora bauhiniicola: M: General aspect of the Telia; N: Teliospores; O–Q: Phragmidiella minuta: O–P: Urediniospores: O: Medial view; P: Superficial view; Q: Paraphyses; R–T: Phragmidiella paulista: R–S: Urediniospores: R: Medial view; S: Superficial view; T: Uredinal paraphyses and urediniospore; U: Teliospores of Puccinia balansae; V–W: Urediniospores of Puccinia barbatula: V: Medial view; W: Superficial view; Bars: B–E, G–I, N–W = 10μm; A, F, L = 20 μm; K = 100 μm.
FIGURE 7. A–B in Contributions to the knowledge and distribution of Pucciniales (rust fungi) in three Brazilian biomes
FIGURE 7. A–B. Urediniospores of Puccinia heliconiae: A. Medial view. B. Superficial view. CD. Urediniospores of Puccinia hyptidis-mutabilis: C. Medium view. D. Superficial view. E–G. Puccinia paraënsis: E–F. Urediniospores. E. Medial view. F. Superficial view. G. Teliospores. H–K. Uromyces jatrophae: H–I: Urediniospores. H. Medial view. I. Superficial view. J–K. Teliospores. J. Medial view. K. Superficial view. L–P. Uromyces vicosensis: L. Spermogonium. M–N. Urediniospores. M. Medial view. N. Superficial view. O–P. Teliospores. O. Medial view. P. Superficial view. Q–S. Uromyces wulffiae-stenoglossae: Q–R. Urediniospores. Q. Medial view. R. Superficial view. S. Teliospores. Bars: A–K, M–S = 10μm; L = 50 μm.
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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
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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.