<p>Both the main analyses of the paper in <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002886#pgen-1002886-t002" target="_blank">Table 2</a> and the supplementary analyses of Sub-Saharan Africa, in which certain populations excluded from the main analysis are included, are considered in obtaining the regression line. The values on the x-axis were obtained by summing the proportions of variance explained by PC1 and PC2 (columns 2 and 3 in <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002886#pgen-1002886-t002" target="_blank">Table 2</a>, columns 6 and 7 in <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002886#pgen.1002886.s016" target="_blank">Table S7<...
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
<p>The first two coordinates explain 9.27% and 7.90% of the observed variation, respectively.</p
<p>Distributions showing the proportion of phenotypic variance attributable to additive genetic (<i>...
Manuscrit HAL : hal-00661214, version 1, 18/03/2011Background : Principal Components Analysis is a s...
<p>The cumulative proportion of plot (a) is 0.92 for the first two principal components (PC1: 0.83; ...
<p>A. PCoA was based on the correlation matrix of allele frequencies at 12 loci. The first and secon...
<p>(a) Multi-Dimensional scaling plot of Fst genetic distances (15 STRs; stress value=0.128); (b) Pr...
<p>(A) The percent variability explained by each principal component (<a href="http://www.plosone.or...
<p>The cumulative proportion of the plot is 0.90 for the first two principal components (PC1: 0.63; ...
<p><b>A</b> Pareto plot of the percentage of the variance explained by each principal component (bla...
<p>Upper right box: PCA analysis with the African populations (dark blue, Sub-Saharan, light blue, N...
Principal components analysis, PCA, is a statistical method commonly used in population genetics to ...
Principal components analysis, PCA, is a statistical method commonly used in population genetics to ...
<p>The percentage of variation explained by each component is given next to the axis. Each accession...
<p>(A) Geographic coordinates of 23 populations. (B) Procrustes-transformed PCA plot of genetic vari...
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
<p>The first two coordinates explain 9.27% and 7.90% of the observed variation, respectively.</p
<p>Distributions showing the proportion of phenotypic variance attributable to additive genetic (<i>...
Manuscrit HAL : hal-00661214, version 1, 18/03/2011Background : Principal Components Analysis is a s...
<p>The cumulative proportion of plot (a) is 0.92 for the first two principal components (PC1: 0.83; ...
<p>A. PCoA was based on the correlation matrix of allele frequencies at 12 loci. The first and secon...
<p>(a) Multi-Dimensional scaling plot of Fst genetic distances (15 STRs; stress value=0.128); (b) Pr...
<p>(A) The percent variability explained by each principal component (<a href="http://www.plosone.or...
<p>The cumulative proportion of the plot is 0.90 for the first two principal components (PC1: 0.63; ...
<p><b>A</b> Pareto plot of the percentage of the variance explained by each principal component (bla...
<p>Upper right box: PCA analysis with the African populations (dark blue, Sub-Saharan, light blue, N...
Principal components analysis, PCA, is a statistical method commonly used in population genetics to ...
Principal components analysis, PCA, is a statistical method commonly used in population genetics to ...
<p>The percentage of variation explained by each component is given next to the axis. Each accession...
<p>(A) Geographic coordinates of 23 populations. (B) Procrustes-transformed PCA plot of genetic vari...
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
<p>The first two coordinates explain 9.27% and 7.90% of the observed variation, respectively.</p
<p>Distributions showing the proportion of phenotypic variance attributable to additive genetic (<i>...