<p>Two linear discriminants (LD1 and LD2) were used, following selection of principal components using a-score optimization, to plot <i>T</i>. <i>brucei</i> individual isolates. Dots represent individual genotypes connected by a line to the center of an ellipse with different colors representing the three clusters; blue (cluster 1), red (cluster 2), and purple (cluster 3).</p
<p>(A) Mean values of Bayesian Information Criterion (BIC) values for each of the values considered ...
<p>Samples are grouped according to their affiliation at the sPCA-identified groups (NWI; SEI; SAR; ...
<p>(a)Treatment I, the four most discriminating MPs between treatments; (b) Treatment II, the four m...
<p>(A) scatter plot shows genetic patterns of SNP data. The scree plots of eigenvalues (inset) indic...
<p>Individual genotypes appear as circles, and black stroke circles represent the center of dispersi...
<p>The axes represent the first two Linear Discriminants (LD). Each circle represents a cluster and ...
Barplot showing the probabilities of assignment of individuals to K = 25 genetic DAPC clusters.</p
<p>Labels were placed at the centre of dispersion of each group, further delineated by inertia ellip...
<p>Scatter plot with (a) and without (b) location N<sub>B</sub> in the analysis. Sampling locations ...
<p><b>(A)</b> Principal component analysis (PCA) indicates a strong center specific effect. Each cen...
<p>The Eigen values of the analysis suggest that the first two components explained the maximum gene...
<p>Discriminant analysis of principal components (DAPC) based on the between-breed analysis.</p
<p>The barplot represents DAPC-based posterior membership probabilities for each of the considered p...
<p>Only the first two principal components of the DAPC are shown (horizontal and vertical axes, resp...
Background: The dramatic progress in sequencing technologies offers unprecedented prospects for deci...
<p>(A) Mean values of Bayesian Information Criterion (BIC) values for each of the values considered ...
<p>Samples are grouped according to their affiliation at the sPCA-identified groups (NWI; SEI; SAR; ...
<p>(a)Treatment I, the four most discriminating MPs between treatments; (b) Treatment II, the four m...
<p>(A) scatter plot shows genetic patterns of SNP data. The scree plots of eigenvalues (inset) indic...
<p>Individual genotypes appear as circles, and black stroke circles represent the center of dispersi...
<p>The axes represent the first two Linear Discriminants (LD). Each circle represents a cluster and ...
Barplot showing the probabilities of assignment of individuals to K = 25 genetic DAPC clusters.</p
<p>Labels were placed at the centre of dispersion of each group, further delineated by inertia ellip...
<p>Scatter plot with (a) and without (b) location N<sub>B</sub> in the analysis. Sampling locations ...
<p><b>(A)</b> Principal component analysis (PCA) indicates a strong center specific effect. Each cen...
<p>The Eigen values of the analysis suggest that the first two components explained the maximum gene...
<p>Discriminant analysis of principal components (DAPC) based on the between-breed analysis.</p
<p>The barplot represents DAPC-based posterior membership probabilities for each of the considered p...
<p>Only the first two principal components of the DAPC are shown (horizontal and vertical axes, resp...
Background: The dramatic progress in sequencing technologies offers unprecedented prospects for deci...
<p>(A) Mean values of Bayesian Information Criterion (BIC) values for each of the values considered ...
<p>Samples are grouped according to their affiliation at the sPCA-identified groups (NWI; SEI; SAR; ...
<p>(a)Treatment I, the four most discriminating MPs between treatments; (b) Treatment II, the four m...