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400 results for “cultivar”
Fig. 1 in Carotenoid profiles of red- and yellow-colored arils of cultivars of Taxus baccata L. and Taxus × media Rehder
Fig. 1. HPLC-DAD chromatograms of carotenoids from (a) red arils of Taxus × media Rehder 'Hicksii' and (b) yellow arils of Taxus baccata L. 'Lutea' at 504 (450) and 475 nm, respectively. See Tables 2 and 3 for compound assignment. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Characterisation of Thai strawberry (Fragaria × ananassa Duch.) cultivars with RAPD markers and metabolite profiling techniques
Fig. 4. Metabolite pathway display shows significant difference between Praratchatan No.80 and Akihime at 25Daa. Changes of metabolites are displayed as ratio>1 (blue), <1 (red), no change (grey) and not detected (white). Analysis comprised six biological replicates per cultivar. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Characterisation of Thai strawberry (Fragaria × ananassa Duch.) cultivars with RAPD markers and metabolite profiling techniques
Fig. 5. PCA analysis of volatile analysis of Akihime and Praratchatan No.80. Freeze-dried tissue was analysed by SPME-GC-MS. Samples and metabolites are displayed as score plot (A) and loading plot (B). Six biological replicates are displayed individually.
Fig. 3 in Characterisation of Thai strawberry (Fragaria × ananassa Duch.) cultivars with RAPD markers and metabolite profiling techniques
Fig. 3. Heatmap of metabolites detected in strawberry fruits of Praratchatan No.80 and Akihime. Metabolites were analysed by GC-MS and LC-MS from polar extracts and by GC-MS from non-polar extracts. Ripening stages are displayed as 7, 10, 13, 16, 19, 22, 25, 28Daa. Only significant compounds, as determined by twoway ANOVA analysis, are displayed. Biological replicates are displayed individually. A more detailed version of this figure is available as Supplementary Fig. 3.
Fig. 2 in Characterisation of Thai strawberry (Fragaria × ananassa Duch.) cultivars with RAPD markers and metabolite profiling techniques
Fig. 2. Stages of fruit development from flower (FL) to overripe fruit of strawberry cultivar Akihime (A) and Praratchatan No.80 (B). Stages are labelled as days after anthesis (Daa). PCA analysis of metabolite composition of Praratchatan No.80 (circles) and Akihime (squares) at eight different fruit ripening stages (C). Metabolites of polar and non-polar extracts were analysed by GC-MS and LC-MS. Data includes 134 identified metabolites including primary and specialised metabolism. Analysis comprised six biological replicates, which are displayed individually.
Fig. 1 in Characterisation of Thai strawberry (Fragaria × ananassa Duch.) cultivars with RAPD markers and metabolite profiling techniques
Fig. 1. Dendrograms of six strawberry varieties based on their genetic (A) and metabolic (B) similarities. The genetic information is based on the degree of band sharing of 228 polymorphic alleles. The metabolic data comprises 129 metabolites identified in polar and non-polar leaf extracts by GC-MS. (C) Representative leaf of six strawberry cultivars.
Fig. 5 in Transcriptome profiling of two Dactylis glomerata L. cultivars with different tolerance in response to submergence stress
Fig. 5. Gene Ontology (GO) classification of genes that only expressed differently in tolerant material 'Dianbei' and expressed differently between two materials all the time. (a) Gene Ontology (GO) classification of 1395 genes only expressed differently in tolerant material 'Dianbei'; (b) GO classification of 18 genes that were found to expressed differently between two materials all the time.
Fig. 1 in Transcriptome profiling of two Dactylis glomerata L. cultivars with different tolerance in response to submergence stress
Fig. 1. Hierarchical clustering analysis of changes in gene expression in two D. glomerata cultivars under submergence tolerance.
Fig. 3 in Transcriptome profiling of two Dactylis glomerata L. cultivars with different tolerance in response to submergence stress
Fig. 3. Gene Ontology (GO) classification of assembled unigenes in two D. glomerata cultivars, submergence-tolerant 'Dianbei' and submergence-sensitive 'Anba'.
Fig. 4 in Transcriptome profiling of two Dactylis glomerata L. cultivars with different tolerance in response to submergence stress
Fig. 4. Scatterplot of enriched KEGG pathways for differentially expressed genes between two D. glomerata cultivars.
Banana Cultivars and Exercise Performance and Recovery
ClinicalTrials.gov study NCT02994628. IPD Sharing: YES. Countries: 1. Publications: 3.
Physiology trait and growing region climate data compiled from the literature for 34 wine grape cultivars
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Data from: Ranking quantitative resistance to Septoria tritici blotch in elite wheat cultivars using automated image analysis
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Data from: Malaysian weedy rice shows its true stripes: wild Oryza and elite rice cultivars shape agricultural weed evolution in Southeast Asia
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Data from: Hybrid coffee cultivars may enhance agroecosystem resilience to climate change
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Data from: Interspecific hybridisation and interaction with cultivars affect the genetic variation of Ulmus minor and U. glabra in Flanders
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Data from: Biomass production and stability of five energycane cultivars at two latitudes in Georgia, USA
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Data from: Donald’s ideotype and growth redundancy: a pot experimental test using an old and a modern spring wheat cultivar
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Data from: Biodiversity in agricultural landscapes: the effect of apple cultivar on epiphyte diversity
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Data from: Identifying litchi (Litchi chinensis Sonn.) cultivars and their genetic relationships using single nucleotide polymorphism (SNP) markers
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ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.