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1,598 results for “genetic diversity”
Fig. 1 in Low Level Genetic Diversity of Opalinid Morphotypes from the Digestive Tract of Hoplobatrachus rugulosus (Batrachia, Amphibia) in Thailand
Fig. 1. Light micrographs of opaline cells from life. (A) The opaline falx (arrow). (B) Multiple nuclei throughout the cell (arrowheads). A bend at the mid-body level is noticeable. (C) Flagella covering the body of the opaline cell (arrow). Several scores of nuclei are clearly visible (small circular clear whitish areas). (D) Prominent ridges signifying the metachronal beating of the flagella cover the opaline body in a random arrangement (arrow). (E) Flagella beating in a metachronal fashion (arrow). Opalinid cell nuclei (arrowheads). Scale bar: A and C: 100 μm; B, D and E: 50 μm.
Fig. 3 in The roles of marginal lagoons in the maintenance of genetic diversity in the Brazilian migratory fishes Prochilodus argenteus and P. costatus
Fig. 3. Dendrogram representing the chord genetic distance among sampling groups of Prochilodus costatus. ABAr = rio Abaeté at rainy season; PAR = rio Paracatu lagoons; SFR = rio São Francisco lagoons; TMDd = Três Marias Dam at dry season; TMDr = Três Marias Dam at rainy season.
Fig. 2 in The roles of marginal lagoons in the maintenance of genetic diversity in the Brazilian migratory fishes Prochilodus argenteus and P. costatus
Fig. 2. Dendrogram representing the chord genetic distance among sampling groups of Prochilodus argenteus. ABAr = rio Abaeté at rainy season; CAR = rio Carinhanha lagoons; JEQ = rio Jequitaí lagoons; PAR = rio Paracatu lagoons; SFR = rio São Francisco lagoons; URU = rio Urucuia lagoons; VEL = rio das Velhas lagoons; TMDd = Três Marias Dam at dry season; TMDr = Três Marias Dam at rainy season.
Fig. 1 in The roles of marginal lagoons in the maintenance of genetic diversity in the Brazilian migratory fishes Prochilodus argenteus and P. costatus
Fig. 1. Map showing the central portion of the rio São Francisco basin and the distribution of the samples of Prochilodus argenteus (yellow) and of P. costatus (black). The circles represent marginal lagoons from tributaries, squares represent marginal lagoons from the rio São Francisco, and triangles represent places in the mainstream rio São Francisco in the Três Marias region. ABA = rio Abaeté; CAR = rio Carinhanha lagoons; JEQ = rio Jequitaí lagoons; PAR = rio Paracatu lagoons; SFR = rio São Francisco lagoons; URU = rio Urucuia lagoons; VEL = rio das Velhas lagoons; TMD = Três Marias Dam.
Fig.2. The phylogenetic tree for 72 in Genetic Diversity Of (Brassica Napus L.) Spring Oilseed Rape
Fig.2. The phylogenetic tree for 72 individual of Brassica napus constructed on the basis of RAPD data: M - 'Maskot, S - 'Sw Savan', H -'Heros', U -'Ural', L -'Landmark'
Fig.1 in Genetic Diversity Of (Brassica Napus L.) Spring Oilseed Rape
Fig.1. DNA fingerprints from different samples of different oilseed rape cultivars obtained by PCR with primers: OPA-01-S1-S6-'SwSavan'; OPA-04-H1-H6-'Heros'; OPA-04-U1-U6-'Ural'; OPA-09-L1- L5-'Landmark'; OPA11-M1-M6-'Maskot'. M-Gene RulerTM 100 bp DNA Ladder Plus (MBI Fermentas)
Fig. 1 in Grouping and genetic diversity of different watermelon ecotypes based on agro-morphological traits and ISSR marker
Fig. 1. Grouping the watermelon ecotypes based on agro-morphological traits using UPGMA method. The symbols for the ecotypes are presented in Table 1.
FIGURE 5 in Genetic diversity and aquaculture conservation for a threatened Neotropical catfish
FIGURE 5 | Candidates breeding pairs in the three hatcheries, Bebedouro (BEB), Paulo Afonso (PA) and Itiúba (IT), assessed by Coancestry (Lynch & Li estimator).
FIGURE 3 in Genetic diversity and aquaculture conservation for a threatened Neotropical catfish
FIGURE 3 | Scatterplot of the Discriminant Analysis of Principal Components (DAPC) of Lophiosilurus alexandri genotypes from captive broodstocks (Bebedouro, Paulo Afonso, and Itiúba (clusters 1, 3, and 5) and wild samples taken from two stretches of the São Francisco River (upper (cluster 2) and submiddle (cluster 4). Clusters are shown by different colors and inertia ellipses, while dots represent individuals. Eigenvalues of the analysis are displayed in inset.
FIGURE 4 in Genetic diversity and aquaculture conservation for a threatened Neotropical catfish
FIGURE 4 | Relatedness estimators Wang (RW) and Lynch & Li (RLL) calculated for A. the three full-sib families (■ FS1, ■ FS2 and ■ FS3) and B. for the wild samples (■ upper and ■ submiddle São Francisco River stretches) of Lophiosilurus alexandri.
FIGURE 2 in Genetic diversity and aquaculture conservation for a threatened Neotropical catfish
FIGURE 2 | Attributions of Lophiosilurus alexandri genotypes from A. captive broodstocks (Bebedouro, Paulo Afonso, and Itiúba) and wild samples taken from two stretches of the São Francisco River (upper and submiddle) and B. only for the wild samples. Each vertical bar represents a different individual and the length is proportional to the inferred group, cluster 1 (red) and cluster 2 (green). Respective estimated K value through log-likelihood. Y axis for delta (K) values and X axis for different K values tested.
FIGURE 1 in Genetic diversity and aquaculture conservation for a threatened Neotropical catfish
FIGURE 1 | Map showing the São Francisco River Basin with locations of the three restocking hatcheries () of Lophiosilurus alexandri and an experimental laboratory (LAQUA). The wild samples taken in the upper and submiddle stretches are denoted by.
Fig. 2 in Analysis of propagule pressure and genetic diversity in the invasibility of a freshwater apex predator: the peacock bass (genus Cichla)
Fig. 2. Structure bar plots of probabilities of assignment of each individual from populations of CP in green (1 - TOC, 2 - ITU, 3 - ML and 4 - FU) and CK in red (5 - TOC, 6 - ITU, 7 - TRM, 8 - RD). Probabilities of assignment (q) of each individual to each cluster are shown along the x-axis.
Figure 4 in Genetic diversity of Peltophorum dubium (Spreng.) Taub. progenies from the states of Minas Gerais and Mato Grosso do Sul, Brazil
Figure 4. Scatter plot obtained through principal component analysis based on the evaluation of dendrometric traits of the 64 P. dubium progenies. Dourados/MS, 2018-2019.
Figure 3 in Genetic diversity of Peltophorum dubium (Spreng.) Taub. progenies from the states of Minas Gerais and Mato Grosso do Sul, Brazil
Figure 3. Scatter plot obtained through principal component analysis considering the provenance of the 64 P. dubium progenies. Dourados/MS, 2018-2019.
Figure 1 in Genetic diversity of Peltophorum dubium (Spreng.) Taub. progenies from the states of Minas Gerais and Mato Grosso do Sul, Brazil
Figure 1. Caterpillar plots for random effects inP. dubium progenies for the traits plant height (PH), circumference at breast height (CBH), diameter at breast height (DBH), basal area (AB), and volume (VOL). Dourados/MS, 2018-2019.
Figure 2. Dendrogram representing the genetic dissimilarity among the 64 P in Genetic diversity of Peltophorum dubium (Spreng.) Taub. progenies from the states of Minas Gerais and Mato Grosso do Sul, Brazil
Figure 2. Dendrogram representing the genetic dissimilarity among the 64 P. dubium progenies, obtained by average linkage clustering method and using the Euclidean distance as a measure of dissimilarity. Cophenetic correlation coefficient (0.756). Dourados/ MS, 2018-2019.
Figure 4 in Analysis of the genetic diversity of Dragon fruit based on ISSR markers in Colombia
Figure 4. UPGMA dendrogram prepared from the genetic distances (Nei and Li, 1979) of the pitahaya populations.
Figure 3 in Analysis of the genetic diversity of Dragon fruit based on ISSR markers in Colombia
Figure 3. Population genetic structure of Pitahaya for each sample analyzed, estimated using the Structure software.
Figure 2. Delta K in Analysis of the genetic diversity of Dragon fruit based on ISSR markers in Colombia
Figure 2. Delta K values obtained from Harvester Structure, calculated as the mean of the probability of K divided by the standard deviation of the probability of K.
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Allen Brain Atlas
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International Brain Laboratory public data
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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.