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29 results for “Pinus radiata”
Figs 9–16 in First record of the genus Bloszykiella in Kenya with the description of Bloszykiella tertia sp. n. (Acari: Uropodidae) from a Pinus radiata D. Don plantation
Figs 9–16. Bloszykiella tertia sp. n., female, holotype, Kenya: (9) tritosternum; (10) entral view of gnathosoma and palp; (11) apical part of epistome; (12) chelicerae; (13) Leg I; (14) Leg II; (15) Leg III; (16) Leg IV (all legs in ventral view, claw of Leg IV not illustrated).
Figs 1–4 in First record of the genus Bloszykiella in Kenya with the description of Bloszykiella tertia sp. n. (Acari: Uropodidae) from a Pinus radiata D. Don plantation
Figs 1–4. Bloszykiella tertia sp. n., female, holotype, Kenya: (1) dorsal view of body; (2) ornamentation and setae on dorsal shield; (3) caudal area of dorsal idiosoma; (4) ventral view of body.
Figs 5–8 in First record of the genus Bloszykiella in Kenya with the description of Bloszykiella tertia sp. n. (Acari: Uropodidae) from a Pinus radiata D. Don plantation
Figs 5–8. Bloszykiella tertia sp. n., female, holotype, Kenya: (5) lateral part of ventral shield with ventral setae; (6) anal area of ventral shield; (7) intercoxal area; (8) peritreme.
Fig. 17 in First record of the genus Bloszykiella in Kenya with the description of Bloszykiella tertia sp. n. (Acari: Uropodidae) from a Pinus radiata D. Don plantation
Fig. 17. Occurrences of Bloszykiella species in East Africa.
Data from: Leveraging UAV spectral and thermal traits for the genetic improvement of resistance to Dothistroma needle blight in Pinus radiata D.Don
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Unravelling changes in the Pinus radiata root and soil microbiomes as a function of aridity
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A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in Pinus radiata from 16 counties
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Data from: A high-density exome capture genotype-by-sequencing panel for forestry breeding in Pinus radiata
Development of genome-wide resources for application in genomic selection or genome-wide association studies, in the absences of full reference genomes, present a challenge to the forestry industry, where longer breeding cycles could benefit from the accelerated selection possible through marker-based breeding value predictions. In particular, large conifer megagenomes require a strategy to reduce complexity, whilst ensuring genome-wide coverage is achieved. Using a transcriptome-based reference template, we have successfully developed a high density exome capture genotype-by-sequencing panel for radiata pine (Pinus radiata D.Don), capable of capturing in excess of 80,000 single nucleotide polymorphism (SNP) markers with a minor allele frequency above 0.03 in the population tested. This represents approximately 29,000 gene models from a core set of 48,914 probes. A set of 704 SMP markers capable of pedigree reconstruction and differentiating individual genotypes were tested within two full-sib mapping populations. While as few as 70 markers could reconstruct parentage in almost all cases, the impact of missing genotypes was noticeable in several offspring. Therefore, sets of 60 sets of 110 randomly selected SNP markers were compared for both parentage reconstruction and clone differentiation. The performance in parentage reconstruction showed little variation over 60 iterations. However, there was notable variation in discriminatory power between closely related individuals, indicating a higher density SNP marker panel may be required to elucidate hidden relationships in complex pedigrees.
FIGURES 9–12 in Laimaphelenchus australis sp. nov. (Nematoda: Aphelenchina) from exotic pines, Pinus radiata and P. pinaster, in Australia
FIGURES 9–12. Scanning Electron Microscopy (SEM) observation of male Laimaphelenchus australis sp. nov. 9: Head. 10: Spicule and tail. 11: Tail. 12: Papillae.
FIGURES 1–8 in Laimaphelenchus australis sp. nov. (Nematoda: Aphelenchina) from exotic pines, Pinus radiata and P. pinaster, in Australia
FIGURES 1–8. Laimaphelenchus australis sp. nov. 1: Male. 2: Female. 3: Female tail. 4: Spicules. 5: Vulval region. 6. Lateral field. 7: Female head. 8: Female tail. Scale bars 1, 2 = 50 µ m; 3 = 2 µ m; 4, 5, 6, 7, 8 = 25 µ m.
FIGURES 13–16 in Laimaphelenchus australis sp. nov. (Nematoda: Aphelenchina) from exotic pines, Pinus radiata and P. pinaster, in Australia
FIGURES 13–16. Scanning Electron Microscopy (SEM) observation of female Laimaphelenchus australis sp. nov. 13: Head. 14: Lateral incisures 15: Vulval region. 16: Tail.
Dataset of Indication of Quantitative Multiple Disease Resistance to Foliar Pathogens in Pinus radiata D.Don in New Zealand
<p>The file contains the phenotypic data and pedigree information used to produce the manuscript <strong>Indication of quantitative cross-resistance to foliar pathogens in </strong><strong><em>Pinus radiata </em></strong><strong>D.Don</strong></p>
FIGURE 1 in Phylogenetic and mycogeographical aspects of Lactarius and Rhizopogon associated with Pinus radiata in south-central Chile
FIGURE 1. Micromorphology of Lactarius quieticolor; A. Fruiting bodies; B-C. Basidiospores; D. Macropleurocystidia; E. Basidioles; F. Basidia; G. Lageniform cheilocystidia; H. Cylindrical, septate cheilocystidia.
FIGURE 3 in Phylogenetic and mycogeographical aspects of Lactarius and Rhizopogon associated with Pinus radiata in south-central Chile
FIGURE 3. Phylogenetic trees (DNAr ITS1F/ITS4 sequences) and selected taxa; A. Lactarius sect. Deliciosi; B. Rhizopogon sp.
FIGURE 2 in Phylogenetic and mycogeographical aspects of Lactarius and Rhizopogon associated with Pinus radiata in south-central Chile
FIGURE 2. Micromorphology of Rhizopogon roseolus; A. Fruiting bodies; B–C. Basidiospores; D. Basidia; E. Cystidia; F. Pseudoparaphysis (arrow).
Supplementary material 2 from: Brockerhoff EG, Gresham BA, Meurisse N, Nahrung HF, Perret-Gentil A, Pugh AR, Sopow SL, Turner RM (2023) Pining away and at home: global utilisation of Pinus radiata by native and non-native insects. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 137-167. https://doi.org/10.3897/neobiota.84.95864
Statistics for Table 2. Statistical tests of proportions out of all species among feeding types for impacts, establishments and interceptions.
Supplementary material 3 from: Brockerhoff EG, Gresham BA, Meurisse N, Nahrung HF, Perret-Gentil A, Pugh AR, Sopow SL, Turner RM (2023) Pining away and at home: global utilisation of Pinus radiata by native and non-native insects. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 137-167. https://doi.org/10.3897/neobiota.84.95864
Numbers (and percentages) of species by impact class, and whether or not they have been intercepted (based on the international interceptions dataset covering the period 1995–2021) or established in a region outside their native range.
Supplementary material 4 from: Brockerhoff EG, Gresham BA, Meurisse N, Nahrung HF, Perret-Gentil A, Pugh AR, Sopow SL, Turner RM (2023) Pining away and at home: global utilisation of Pinus radiata by native and non-native insects. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 137-167. https://doi.org/10.3897/neobiota.84.95864
Percentages of species native to a region in each feeding guild, regardless of impact. Those in the "Native country: other" category are species native to other regions but not to Australia or New Zealand.
Data from: A high-density exome capture genotype-by-sequencing panel for forestry breeding in Pinus radiata
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Pinus radiata pest list
<p><strong>Insects feeding on <em>Pinus radiata</em>. The dataset includes their native and non-native biogeographic ranges, feeding group, impact level, border interceptions, capability for vectoring pathogens and references<em>. </em>For more details see the corresponding article: </strong>Brockerhoff EG, Gresham BA, Meurisse N, Nahrung HF, Perret-Gentil A, Pugh AR, Sopow SL, Turner RM (2023) Pining away and at home: global utilisation of <em>Pinus radiata</em> by native and non-native insects. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 137-167. <a href="https://doi.org/10.3897/neobiota.84.95864">https://doi.org/10.3897/neobiota.84.95864</a></p>
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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.