<p>Only the first two principal components of the DAPC are shown (horizontal and vertical axes, respectively). Green rectangle indicates ST3 which is estimated to be an admixed genotype by STRUCTURE with the cluster assignment ratio at 50:50% (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0178390#pone.0178390.g005" target="_blank">Fig 5</a>).</p
<p>Scatter plot with (a) and without (b) location N<sub>B</sub> in the analysis. Sampling locations ...
<p>The optimal number of principal components found for the analysis was 21 based on the trend in al...
<p>Discriminant analysis of principal components (DAPC) based on the between-breed analysis.</p
<p>(A) scatter plot shows genetic patterns of SNP data. The scree plots of eigenvalues (inset) indic...
Barplot showing the probabilities of assignment of individuals to K = 25 genetic DAPC clusters.</p
<p>Samples are grouped according to their affiliation at the sPCA-identified groups (NWI; SEI; SAR; ...
<p>The barplot represents DAPC-based posterior membership probabilities for each of the considered p...
Background: The dramatic progress in sequencing technologies offers unprecedented prospects for deci...
<p>The axes represent the first two Linear Discriminants (LD). Each circle represents a cluster and ...
Inference of genetic clusters is a key aim of population genetics, sparking development of numerous ...
<p>The Eigen values of the analysis suggest that the first two components explained the maximum gene...
<p>This scatterplot shows the first two principal components of the DAPC of <i>Phytophthora infestan...
<p>Individual genotypes appear as circles, and black stroke circles represent the center of dispersi...
<p>a) First (PC1) and second (PC2) principal components and b) first (PC1) and third (PC3) principal...
BACKGROUND: The dramatic progress in sequencing technologies offers unprecedented prospects for deci...
<p>Scatter plot with (a) and without (b) location N<sub>B</sub> in the analysis. Sampling locations ...
<p>The optimal number of principal components found for the analysis was 21 based on the trend in al...
<p>Discriminant analysis of principal components (DAPC) based on the between-breed analysis.</p
<p>(A) scatter plot shows genetic patterns of SNP data. The scree plots of eigenvalues (inset) indic...
Barplot showing the probabilities of assignment of individuals to K = 25 genetic DAPC clusters.</p
<p>Samples are grouped according to their affiliation at the sPCA-identified groups (NWI; SEI; SAR; ...
<p>The barplot represents DAPC-based posterior membership probabilities for each of the considered p...
Background: The dramatic progress in sequencing technologies offers unprecedented prospects for deci...
<p>The axes represent the first two Linear Discriminants (LD). Each circle represents a cluster and ...
Inference of genetic clusters is a key aim of population genetics, sparking development of numerous ...
<p>The Eigen values of the analysis suggest that the first two components explained the maximum gene...
<p>This scatterplot shows the first two principal components of the DAPC of <i>Phytophthora infestan...
<p>Individual genotypes appear as circles, and black stroke circles represent the center of dispersi...
<p>a) First (PC1) and second (PC2) principal components and b) first (PC1) and third (PC3) principal...
BACKGROUND: The dramatic progress in sequencing technologies offers unprecedented prospects for deci...
<p>Scatter plot with (a) and without (b) location N<sub>B</sub> in the analysis. Sampling locations ...
<p>The optimal number of principal components found for the analysis was 21 based on the trend in al...
<p>Discriminant analysis of principal components (DAPC) based on the between-breed analysis.</p