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38 results for “tree architecture”
Data from: A phylogenomic rodent tree reveals the repeated evolution of masseter architectures
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Data from: How a measure of tree structural complexity relates to architectural benefit-to-cost ratio, light availability and growth of trees
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Data from: Effects of tree architecture on pollen dispersal and mating patterns in Abies pinsapo Boiss. (Pinaceae)
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Supplementary data: What drives grassland-forest boundaries? Assessing fire and frost effects on tree seedling survival and architecture
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LiDAR-derived tree architecture data of geo-located tropical trees in Luquillo experimental forest, Puerto Rico
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Quantitative genetic architecture of adaptive phenology traits in the deciduous tree, Populus trichocarpa (Torr. & Gray)
<p><span>In a warming climate, the ability to accurately predict and track shifting environmental conditions will be fundamental for plant survival. Environmental cues define the transitions between growth and dormancy as plants synchronise development with favourable environmental conditions, however these cues are predicted to change under future climate projections which may have profound impacts on tree survival and growth. Here, we use a quantitative genetic approach to estimate the genetic basis of spring and autumn phenology in <i>Populus trichocarpa</i> to determine this species capacity for climate adaptation. We measured bud burst, leaf coloration, and leaf senescence traits across two years (2017- 2018) and combine these observations with measures of lifetime growth to determine how genetic correlations between phenology and growth may facilitate or constrain adaptation. Timing of transitions differed between years, although we found strong cross year genetic correlations in all traits, suggesting that genotypes respond in consistent ways to seasonal cues. Spring and autumn phenology were correlated with lifetime growth, where genotypes that burst leaves early and shed them late had the highest lifetime growth. We also identified substantial heritable variation in the timing of all phenological transitions (h<sup>2</sup> = 0.5-0.8) and in lifetime growth (h<sup>2</sup> = 0.8). The combination of abundant additive variation and favourable genetic correlations in phenology traits suggests that cultivated varieties of <i>P. Trichocarpa</i> have the capability to create populations which may adapt their phenology to climatic changes without negative impacts on growth.</span></p>
Data from: Sylleptic branching in winter-headed apple (Malus × domestica) trees: accession-dependent responses and their relationships with other tree architectural characteristics
Well-feathered apple trees are essential for commercial orchards to optimize yields. However, most cultivars do not form these sylleptic branches readily in commercial nurseries due to high apical dominance. Several treatments exist to promote their formation in the nurseries, one of which is heading. However, not all cultivars are expected to react similarly to these treatments. We studied the branching response of 155 genotypes following heading and its relation to other architectural traits as a function of the cultivar's genetic background. Trees were grown for two consecutive years after grafting in a nursery, and the main axes were headed in the winter following growth in year 1. After heading, a single shoot was retained when growth resumed in the second year. Plant architectural traits such as growth of the main shoot, internode length, sylleptic branching, etc. were measured before and after heading and were statistically compared using a mixed model. This model showed the effect of heading for all architectural traits studied. In addition significant genotype and genotype × treatment interactions were found. In general, genotypes that showed a more vigorous growth during the first year also reacted more vigorously to heading. Accounting for the genetic substructure of this collection, no clear distinction in tree response could be found except in a small group of individuals that belonged to an F1 mapping population. This study shows that heading is not favorable for all genotypes to promote sufficient sylleptic branching and that other methods are needed to promote branching in these accessions.
Dual-Transformer Architecture for Cross-Modal Learning on Tree-Structured Data in Regression Tasks
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Data from: Neighbor effects on tree architecture: functional trade-offs balancing crown competitiveness with wind resistance
1. The architecture of trees is the result of constrained, morphologically plastic growth—constrained by an underlying architectural model embedded in their genome, the structure of which can be significantly altered during growth to match the changing environmental conditions to which the tree is exposed. Here, we examined the hypothesis that crowding from neighbors should cause trees to optimize traits for light competition at the expense of wind resistance, with the reverse being true for trees lacking neighbors. Previous studies have examined the influence of light competition or wind resistance on shaping tree architecture, but few, if any, have simultaneously addressed tradeoffs for optimizing these traits in response to crowding from neighboring trees in forests, as compared to open-grown conditions. 2. We studied the response of tree- and branch-level architectural traits of temperate, broad-leaved, deciduous tree species of differing shade tolerance and wood strength from multiple locations across the northeastern United States. Trees ranged in size (4 to 83 cm diameter at 1.3 m) and crowding conditions (open-grown and forests) and occupied different canopy positions. The open-grown trees represented a null condition, where the lack of neighboring trees to shape architectural traits could be contrasted with the influence of different levels of crowding in forests. 3. Our results show strong evidence for a tree neighborhood-induced convergence of architectural traits across species and conditions, even when trees are growing in urban rather than natural forest conditions. After accounting for crowding, the effects of species and sample location contributed very little to explaining variation in architectural traits. One exception was crown dimensions, for which species-specific differences explained about 15% of the residual variation. 4. Under open-grown conditions, alleviation of light competition caused trees to develop relatively large crowns and branches and a squat growth form suitable to resist greater wind exposure. By contrast, increasing shading from neighboring trees caused forest-grown trees to become increasingly more spindly in the main stem, with slender branches sparsely distributed over a disproportionately large crown volume—presumably to maximize light capture. Though the latter is an intrinsically less wind-stable form, it can be adopted to increase light capture, because neighboring trees reduce exposure to the wind, which should greatly reduce the likelihood of stem breakage or uprooting under critical wind pressures.
Data from: Neighbor effects on tree architecture: functional trade-offs balancing crown competitiveness with wind resistance
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Quantitative genetic architecture of adaptive phenology traits in the deciduous tree, Populus trichocarpa (Torr. & Gray)
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Data from: Sylleptic branching in winter-headed apple (Malus × domestica) trees: accession-dependent responses and their relationships with other tree architectural characteristics
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3D genomics across the tree of life reveals condensin II as a determinant of architecture type [Hi-C]
GEO Series GSE163625. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
3D genomics across the tree of life reveals condensin II as a determinant of architecture type
GEO Series GSE169088. Saccharomyces cerevisiae; Drosophila melanogaster; Gallus gallus; Hypsibius dujardini; Lethenteron camtschaticum; Arachis hypogaea; Agaricus bisporus; Branchiostoma lanceolatum; Xenopus laevis; Notamacropus eugenii; Pygocentrus nattereri; Cristatella mucedo; Clonorchis sinensis; Chiloscyllium punctatum; Strongylocentrotus purpuratus; Ciona intestinalis; Pleurobrachia bachei; Acropora millepora; Python bivittatus; Triticum aestivum; Caenorhabditis elegans; Aplysia californica; Aedes aegypti; Culex quinquefasciatus; Homo sapiens; Muntiacus reevesi; Muntiacus muntjak. 32 samples. Type: Other.
3D genomics across the tree of life reveals condensin II as a determinant of architecture type [RNA-Seq]
GEO Series GSE163640. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
3D genomics across the tree of life reveals condensin II as a determinant of architecture type [DamID-seq]
GEO Series GSE163626. Homo sapiens. 18 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
3D genomics across the tree of life reveals condensin II as a determinant of architecture type
GEO Series GSE163641. Homo sapiens. 29 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
tree architectural traits under changing topographic conditions
<p>tree architectural traits monitored yearly on trees planted in 2015 at OAL-UK under changing topographic conditions</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.