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22 results for “Vigna”

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zenodo40/100

Vigna la Piazza archaeological area: 3D survey (Grotte di Castro, VT)

<p>3D survey of Vigna la Piazza archaeological area in the Municipality of Grotte di Castro (VT). The dataset was acquired using 3D laser scanner technology, terrestrial and aerial photogrammetry, total station, and GPS. The dataset was acquired with an FARO300 3D laser scanner CanonEOS R camera and then processed with the software FARO Scene, Cloud Compare and Agisoft Metashape. The team is formed by: Emanuel Demetrescu, Eleonora Scopinaro, Daniele Ferdani, and Simone Berto.</p>

opencc-by-nc-sa-4.0May 2024View details →
dryad36/100

Data for: Dissecting the genetic architecture of leaf morphology traits in mungbean (Vigna radiata (L.) Wizcek) using genome‐wide association study

<p><span>Mungbean (<em>Vigna radiata</em> (L) Wizcek) is an important pulse crop, increasingly used as a source of protein, fiber, low fat, carbohydrates, minerals, and bioactive compounds in human diets. Mungbean is a dicot plant with trifoliate leaves. Leaves are central to various plant processes like photosynthesis, light interception, and overall canopy structure. The objectives were to study leaf morphological traits, use image analysis to extract leaf traits from images from the Iowa Mungbean Diversity (IMD) panel, develop a regression model for the prediction of leaflet area, and conduct association mapping for leaf morphological traits. We collected more than 5000 leaf images of the IMD panel consisting of 484 accessions over two years (2020 and 2021) with two replications per experiment. Leaf traits were extracted using image analysis, analyzed, and used for association mapping. Morphological diversity included leaflet type (oval or lobed), leaflet size (small, medium, large), lobed angle (shallow, deep), and vein coloration (green, purple). A regression model was developed to predict each ovate leaflet's area (adjusted R<sup>2</sup> = 0.97; residual standard errors of &lt;= 1.10). The candidate genes <em>Vradi01g07560</em>, <em>Vradi05g01240</em>, <em>Vradi02g05730</em>, and <em>Vradi03g00440</em>, are associated with multiple traits (length, width, perimeter, and area) across the leaflets (left, terminal, and right). These are suitable candidate genes for further investigation in their role in leaf development, growth, and function. Future studies will be needed to correlate the observed traits discussed here with yield or important agronomic traits for use as phenotypic or genotypic markers in marker-aided selection methods for mungbean crop improvement.</span></p>

opencc-zeroFeb 2023View details →
dryad36/100

Data for: Dissecting the genetic architecture of leaf morphology traits in mungbean (Vigna radiata (L.) Wizcek) using genome‐wide association study

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publicFeb 2023View details →
dryad32/100

Data from: Genome-wide SNP identification and association mapping for seed mineral concentration in Mung bean (Vigna radiata L.)

<p><span><span>Mung bean (<i>Vigna radiata</i> L.) quality is dependent on seed chemical composition, which in turn determines the benefits of mung bean consumption for human health. While rich in a range of nutritional components, such as protein, macro- and micro- nutrients, carbohydrates and vitamins, mung bean remains less well studied than other legume crops. Mung bean genomics and genetic resources are relatively sparse. To further improve nutritional levels of mung bean grain requires genome-wide marker system tools. The objectives of this research were to develop these tools and conduct nutrient analysis in order to 1) identify single nucleotide polymorphisms (SNPs) using genotyping by sequencing (GBS) and to 2) perform genome-wide association studies (GWAS) for levels of calcium, iron, potassium, manganese, phosphorous, sulfur, and zinc in mung bean grain produced over two years of field experiment. A total of 112 GWAS models were explored using 6,486 high quality SNPs discovered in 92 cultivated mung bean accessions chosen from USDA core collection that represented 13 countries. The data obtained allowed for the identification of 43 associated SNPs and 20 main genomic regions that explained on average 22 % of the overall variation in seed macro- and micro- nutrients concentration on the basis of a multiple-year analysis. Most of the regions discovered in this study provide valuable candidate gene to use in future breeding of new varieties of mung bean with novel nutritional properties. Identification of the <a>underlying genes</a> will help to reveal the genetic control of mung bean seed nutritional property. Other SNPs identified in this study will serve as important resources to enable marker-assisted selection (MAS) in the species <i>V</i>. <i>radiata</i>, including wide and narrow crosses with / between cultivated and wild mung bean.</span></span></p>

opencc-zeroJun 2020View details →
zenodo32/100

Figures 7-11 in On a new species of Amitus Haldeman (Hymenoptera: Platygastridae) parasitizing whitefly Zaphanera sp. (Aleyrodidae) on Vigna trilobata from India

Figures 7-11: 7. Metasoma dorsal; 8. Fore wing; 9-10. Amitus vignus Male: 9. Antenna; 10. Habitus; 11. IV instar of puparium from which parasitoid emerged.

opennotspecifiedDec 2016View details →
zenodo32/100

Figures 1-6 in On a new species of Amitus Haldeman (Hymenoptera: Platygastridae) parasitizing whitefly Zaphanera sp. (Aleyrodidae) on Vigna trilobata from India

Figures 1-6: Amitus vignus sp. n. Female: 1. Habitus; 2. Head front (undulations marked by an arrow); 3. Head dorsal; 4. Antenna; 5. Mesosoma lateral view; 6. Mesosoma dorsal

opennotspecifiedDec 2016View details →
zenodo32/100

FIGURE 2 in Alternaria vignae sp. nov. (Ascomycota: Pleosporaceae) from Vigna unguiculata in China

FIGURE 2. Alternaria vignae (YZU 171714, ex-type). a: samples; b: colony on PDA for 7 days at 25 ˚C; c–d: sporulation patterns on PCA; e–f: conidiophores; g–i: conidia on PCA; j–l: conidia on V8A. Scale bars: c-l=25 μm.

opennotspecifiedAug 2022View details →
zenodo32/100

FIGURE 1 in Alternaria vignae sp. nov. (Ascomycota: Pleosporaceae) from Vigna unguiculata in China

FIGURE 1. Maximum likelihood phylogenetic tree based on the combined dataset of the ITS, GAPDH, RPB2 and TEF1 gene sequences. The Bayesian posterior probabilities (PP)&gt;0.6 and maximum likelihood bootstrap (BS) support values&gt;60% are given at the nodes (PP/ BS). Examined strains are in bold.

opennotspecifiedAug 2022View details →
zenodo32/100

Supplementary material and data, Global strategy for the conservation and use of Vigna

<p>Supplementary material and data, Global strategy for the conservation and use of Vigna. Second version, after typos in the Read_me file were corrected.&nbsp;&nbsp;&nbsp;</p>

opencc-by-nc-sa-4.0Mar 2023View details →
dryad32/100

Data from: Genome wide linkage disequilibrium in Chinese asparagus bean (Vigna. unguiculata ssp. sesquipedialis) germplasm: implications for domestication history and genome wide association studies

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publicJan 2012View details →
dryad32/100

Data from: The presence of a cryptic barrier in the West Pacific Ocean suggests the effect of glacial climate changes on a widespread sea-dispersed plant, Vigna marina (Fabaceae)

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publicJul 2019View details →
dryad32/100

Data from: Genome-wide SNP identification and association mapping for seed mineral concentration in Mung bean (Vigna radiata L.)

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publicJun 2020View details →
dryad32/100

Data from: Genome-wide association studies dissect the genetic architecture of seed and yield component traits in cowpea (Vigna unguiculata L. Walp)

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publicFeb 2025View details →
dryad28/100

Systematics of Vigna subgenus Lasiospron (Benth.) Maréchal et al. (Leguminosae: Papilionoideae: Phaseolinae)

<p><span>A taxonomic treatment is herein provided for the six primarily Neotropical species of <i>Vigna</i> subg. <i>Lasiospron</i>. This subgenus is distinguished, in part, by its close relationship with Old World <i>Vigna</i> species, but rather than having an Old World <i>Vigna</i> floral asymmetry where distal floral parts can have a right-hand curvature (from a face-view perspective), distal parts of subg. <i>Lasiospron</i> flowers, like those of American Phaseolinae, curve to the left. Our proposed taxonomy reflects published phylogenetic analyses that resolve the subg. <i>Lasiospron</i> species in a subclade of the primarily Old World clade of species of <i>Vigna</i> sensu stricto. <i>Vigna</i> subg. <i>Lasiospron</i> is therefore distinctive in having a primarily neotropical distribution. Three of the six subg. <i>Lasiospron</i> species have an amphi-Atlantic distribution, which we suggest was achieved naturally be the ability of these species to disperse and colonize coastal habitats. Nomenclatural and taxonomic synonyms are reported, along with species descriptions and the biogeographical, genetic, and morphological evidence that argues for each of the six <i>Lasiospron</i> species fitting a unified species concept.</span></p>

opencc-zeroDec 2021View details →
zenodo28/100

Enhancing resistance to Cercospora leaf spot in mung bean (Vigna radiata L.) through Bradyrhizobium sp. DOA9 priming: Molecular insights and biocontrol potential

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opencc-by-4.0Jun 2024View details →
dryad28/100

Data from: Essential oil optimizes the susceptibility of Callosobruchus maculatus and enhances the nutritional qualities of stored cowpea Vigna unguiculata

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publicAug 2017View details →
dryad28/100

Genetic, anatomical, and environmental patterns related to pod shattering resistance in domesticated cowpea Vigna unguiculata [L.] Walp

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publicFeb 2022View details →
dryad28/100

Systematics of Vigna subgenus Lasiospron (Benth.) Maréchal et al. (Leguminosae: Papilionoideae: Phaseolinae)

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publicDec 2021View details →
zenodo24/100

Supplementary Data files of Genus Vigna

<h1><span>Unexpected Unity: Convergent NLR Evolution Across Vigna Species</span></h1> <p>We performed an evolutionary analysis on 13 species of the genus <em>Vigna </em>and discovered evidence of convergent evolution among them.</p> <p>&nbsp;</p>

openAug 2024View details →
geo24/100

Combining the CowPEAsy web application with in planta agroinfiltration for native promoter validation in Vigna unguiculata

GEO Series GSE280644. Vigna unguiculata. 30 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2025View details →

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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.

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OpenNeuro

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Last verified 2026-04-29Open record