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Figure 2: Bayesian STRUCTURE Clustering Results of Microsatellite Variation Among T. Mongolica Populations.
doi 10.7717/peerj.5645/fig-2
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Figure 2: Graphical Summary of Bayesian Clustering Results.
Figure 2: Bayesian Genetic Structure Results Obtained With STRUCTURE.
Figure 3: Factorial Correspondence Analysis Performed for T. Mongolica Based on Nuclear Microsatellite Loci.
Figure 6: The Structure of Both Sympatric Populations Inferred by Bayesian Clustering Is Showed Using STRUCTURE Software (K = 2) With DESTRUCT Output.
Figure 6: Bayesian Clustering as Determined by STRUCTURE Analysis of Nuclear Microsatellite Data at K = 2 − 5. (A) Structure With K = 2; (B) Structure With K = 3; (C) Structure With K = 4; (D) Structure With K = 5.
Figure 2: Bayesian Analysis of the Genetic Structure Showing the Differentiation of the Two Regional Populations of the Amur Leopard Cat Based on 12 Microsatellite Loci.
Figure 2: Bayesian Analysis of Phylogenetic Relationships Among Evaniidae.
Figure 2: Bayesian Clustering of Seven Coptoformica Species Obtained With the Software Baps.
Isolation and Characterization of Microsatellite Loci for Prunus Mongolica (Rosaceae)
Applications in Plant Sciences
Plant Science
Evolution
Ecology
Systematics
Behavior
