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320 results for “Beans”
DATASET: characterization of the seed coat extractable phenolic profile and color in 308 common bean lines of the Spanish Diversity Panel
<p>Characterizarion of the seed coat extractable phenolic profile and color in 308 common bean lines of the Spanish Diversity Panel</p>
Dataset for Gelatinous fibers develop asymmetrically to support bends and coils in common bean vines (Phaseolus vulgaris L., Fabaceae)
<ol> <li>Internode_lengths_AveragePerGroup_Stage5.csv = averaged internode lengths for each treatment groups at stage 5 (plastochron 9). Data represented in Appendix S2.</li> <li>Internode_lengths_Stage5.csv = data of all internodes lengths per individual plant at stage 5 (plastochron 9). Data represented in Appendix S2.</li> <li>InternodeLengths_allStages.csv = internode lengths through 5 stages (0-9 plastochon). Data represented in Appendix S1.</li> </ol> <p>Associated scripts: https://github.com/angelique-acevedo/Common-Bean-Analysis</p>
Spatially resolved metabolic composition in seeds of common bean: comparison of the low phytic acid mutant and the wild type
<p>Common bean (Phaseolus vulgaris L.) seeds are a good source of energy, are rich in proteins and carbohydrates, minerals and vitamins (such as Fe, Zn, B-vitamin), and bioactive compounds, such as polyphenols. However, the presence of some antinutritional compounds, such as phytic acid (PA), which decreases mineral bioavailability, can limit the nutritional value of common beans. Therefore, genotypes with low PA concentrations in common beans have been generated. The increased bioavailability of Fe from LPA mutant seeds compared to the wild type common beans was shown in a stable Fe-isotope absorption study in Swiss women, indicating that the seeds of LPA common bean could be used to help remedy the Fe malnutrition in women. Within this TNA project, we spatially resolved molecular composition in LPA mutant and wild-type common beans, particularly the distribution of PA. In total, three replicates of each genotype were analyzed with MeV-SIMS at RBI. Positive and negative modes were operated for analysis of the samples and of the standard (PA). Best spectra were obtained in negative mode, in which three distinct peaks were observed in the standard (PA): 63 m/z: PO2-, 79 m/z: PO3- and 97 m/z: H2PO4-.</p>
Faba Beans in Pig Feeding Trials
<p>Dr. Peadar Lawlor, Teagasc and John Ryan of Adesco talk to Tim O'Donovan of Seedtech about their research into feeding faba beans instead of imported protein to pigs. The video is an output of the Legumes Translated Horizon 2020 project and is available in English with subtitled in English and German. </p>
Resistance test to bean common mosaic virus (BCMV) in common bean
<p>This video is part of a series of videos prepared by SERIDA partner for the BRESOV project (GA 774244) The video briefly describes a test for resistance to BCMV, a common disease in bean crops</p> <p> </p> <p>https://www.youtube.com/watch?v=ukEVm_yC26Q</p>
DATASET: Genotyping by sequencing of the common bean Spanish Diversity Panel
<p>Genotyping by sequencing of 308 common bean lines included in the Spanish Diversity Panel. The ApeKI restriction enzyme was used. The sequencing reads were aligned using the reference genome V2.1 (https://phytozome.jgi.doe.gov/pz/portal.html#!info?alias=Org_Pvulgaris). A total of 11,763 SNP markers are included in this dataset after filtering for missing values (< 10%) and minor allele frequency (MAF> 0.05). </p>
Resistance test to Pythium in common bean
<p>This video dhows the steps in resistance tests to Pythium ultimum in common bean in controlled conditions and it is parts of a set edited to spread the plant breeding job.</p> <p>A dissemination task developed by the Plant Genetic Group (SERIDA) for the BRESOV project</p> <p>Available in the Link : https://www.youtube.com/watch?v=YqjKjceqTGk&t=2s</p> <p>DOI :10.5281/zenodo.5557265</p>
AI and IIoT system for soya beans production
<p>Animated video presenting an AI and IIoT system for soya beans production - process optimisation and equipment predictive maintenance.</p>
Figure 3. Critical stop lines for a sequential count plan for T. urticae. For a in Spatial distribution and sampling plan for Tetranychus urticae (Acari: Tetranychidae) in bean crops
Figure 3. Critical stop lines for a sequential count plan for T. urticae. For a precision level of 10 and 25%.
Figure 2 in Spatial distribution and sampling plan for Tetranychus urticae (Acari: Tetranychidae) in bean crops
Figure 2. Sample sizes required to achieve a given precision level of 10 and 25% at different mean densities of T. urticae per leaf.
Figure 1 in Spatial distribution and sampling plan for Tetranychus urticae (Acari: Tetranychidae) in bean crops
Figure 1. Relationship between variance and mean density (all stages combined per leaf) of T. urticae samples collected from bean fields near Varamin vicinity, Tehran province, Iran. The red lines are the best-fitting lines of Taylor's power law.
Figure 7 in The structure of the compound eyes and phototaxis in two phenotypes of the bean pest Callosobruchus maculatus (Coleoptera: Bruchinae)
Figure 7. Results of behavioral experiments and ERG measurements. A. Behavioral experimental equipment (DA—Dark area; SA— Standing area; LA—Light area). B. Daily activities of normal form Callosobruchus maculatus. C. Quantification of ERG voltage responses of the flight and normal form insects exposed to different light stimuli. Different letters indicate significant differences between ERG responses. D. The phototaxis responses of the flight (above) and normal (down) forms were classified into 'positive phototaxis', 'negative phototaxis', and 'no selection'. E. Comparison of the phototaxis responses of the normal form and flight form Callosobruchus maculatus in response to different colors of light. Data are presented as mean ± standard error of the mean, **p <0.01, ***p <0.001 (t tests).
Figure 4 in The structure of the compound eyes and phototaxis in two phenotypes of the bean pest Callosobruchus maculatus (Coleoptera: Bruchinae)
Figure 4. Three-dimensional reconstruction of the compound eye of the flight form Callosobruchus maculatus. A, D. Frontal view of the head. B, C. Lateral view of the head. E. Posterior view of the head. F. Anterior view of the head. Scale bars = 100 μm.
Figure 1 in The structure of the compound eyes and phototaxis in two phenotypes of the bean pest Callosobruchus maculatus (Coleoptera: Bruchinae)
Figure 1. External appearance of compound eyes of Callosobruchus maculatus obtained via SEM. A–D. Laterial view of head. E–H. Vertical view of head. A, E. Flight form female (FF). B, F. Flight form male (FM). C, G. Normal form female (NF). D, H. Normal form male (NM). Abbreviations: AS—antennal socket; CE—compound eye. Scale bars = 100 μm.
Figure 6 in The structure of the compound eyes and phototaxis in two phenotypes of the bean pest Callosobruchus maculatus (Coleoptera: Bruchinae)
Figure 6. Ultrastructure of compound eye of Callosobruchus maculatus. A, D. Longitudinal section of the cornea. B, E. Cross-section of the distal end of the rhabdom. C, F. Cross section of proximal end of the rhabdom. G, H. Longitudinal section of compound eye. I. Semischematic drawing of one ommatidium of Callosobruchus maculatus. A, B, C, G. Normal form male. D, E, F, H. Flight form male. Abbreviations: Co—cornea; CC—crystalline cone; PPC—primary pigment cell; SPC—secondary pigment cell; Rh—rhabdom; R1–R8—retinular cells; Rh7, Rh8—rhabdomere; PG—pigment granule; CCN—nuclei of cone cells; PCN—nuclei of primary pigment cells; RCN—nuclei of retinular cells. Scale bars: A–B, D–E = 5 μm; C, F = 0.5 μm; G–H = 10 μm.
Figure S3 in The structure of the compound eyes and phototaxis in two phenotypes of the bean pest Callosobruchus maculatus (Coleoptera: Bruchinae)
Figure S3. Electrophysiological waveforms of compound eyes of two types of Callosobruchus maculatus. A. White. B. Green (520–530 nm). C. Blue (460–470 nm). D. Ultraviolet (365 nm). E. Red (620–630 nm).
Figure 5 in The structure of the compound eyes and phototaxis in two phenotypes of the bean pest Callosobruchus maculatus (Coleoptera: Bruchinae)
Figure 5. Three-dimensional reconstruction of the compound eye of the normal form Callosobruchus maculatus. A, D. Frontal view of the head. B, C. Lateral view of the head. E. Posterior view of the head. F. Anterior view of the head. Scale bars = 100 μm.
Figure S2 in The structure of the compound eyes and phototaxis in two phenotypes of the bean pest Callosobruchus maculatus (Coleoptera: Bruchinae)
Figure S2. The projection of microCT of Callosobruchus maculatus. A. Flight form. B. Normal form. Abbreviations: S—baseline length of a segment; H—height.
Figure 3 in The structure of the compound eyes and phototaxis in two phenotypes of the bean pest Callosobruchus maculatus (Coleoptera: Bruchinae)
Figure 3. Differences in the areas and numbers of ommatidia observed in two types of Callosobruchus maculatus. A. The ommatidia areas of the flight and normal forms. B. The number of ommatidia compared between two types of Callosobruchus maculatus. *p <0.05; **p <0.01; n.s., indicates no significant difference (t tests).
Figure 2 in The structure of the compound eyes and phototaxis in two phenotypes of the bean pest Callosobruchus maculatus (Coleoptera: Bruchinae)
Figure 2. Partially external appearance of compound eyes of Callosobruchus maculatus obtained via SEM. A–D. Hexagonal ommatidia of compound eye (H). E–H. Pentagonal and irregular ommatidia of compound eye (P). I–L. The arrows point to the interfacetal hairs between the hexagonal ommatidia. M–P. The arrows point to the interfacetal hairs between the pentagonal and irregular ommatidia. A, E, I, M. Flight-form female (FF). B, F, J, N. Flight form male (FM). C, G, K, O. Normal form female (NF). D, H, L, P. Normal form male (NM). Scale bars = 10 μm.
ScienceDex guides
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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.