<p>(a) Eigenvalues of principal component analysis (PCA). (b) PCA scatter-plots of the first two principal components (PC) showing clearly separation between beef population (green color) and dairy population (red-yellow colors). (c) Inference of the number of clusters in Gir cattle based on K-means algorithm. (d) Plots of the first two discriminant functions of discriminant analysis of PC algorithm.</p
Background: The dramatic progress in sequencing technologies offers unprecedented prospects for deci...
Gir is one of the main cattle breeds raised in tropical South American countries. Strong artificial ...
<p>Below is the plot of the contribution of each haplogroup to the first and second PC (projections ...
Based on a genomic relationship matrix, eigenvalues were calculated and the first two components use...
During the last few years the idea of predicting quantitative traits and diseases based on genotypic...
Twelve subpopulation clusters inferred by STRUCTURE are represented by different colors (K2-K12). A)...
Background: To describe natural selection, numerous analytical methods for ascertaining candidate ge...
<p>Colors define three Genetic Group: Group 1 in blue (Eastern and Western Otways races and the Chil...
<p>The lines belong to the germplasm bank of the United States Department of Agriculture (USDA). The...
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
<p>The optimal number of principal components found for the analysis was 21 based on the trend in al...
<p>Scatterplot visualizes the first two principal components. Points represent individual genotypes,...
a) Spatial PCA (sPCA) Analysis of Algerian and Moroccan goat breeds; b) eigenvalues for each global ...
<p>Colours represent population clusters: red for SE dingoes, purple for FI dingoes, blue for NW din...
<div><p>Gir is one of the main cattle breeds raised in tropical South American countries. Strong art...
Background: The dramatic progress in sequencing technologies offers unprecedented prospects for deci...
Gir is one of the main cattle breeds raised in tropical South American countries. Strong artificial ...
<p>Below is the plot of the contribution of each haplogroup to the first and second PC (projections ...
Based on a genomic relationship matrix, eigenvalues were calculated and the first two components use...
During the last few years the idea of predicting quantitative traits and diseases based on genotypic...
Twelve subpopulation clusters inferred by STRUCTURE are represented by different colors (K2-K12). A)...
Background: To describe natural selection, numerous analytical methods for ascertaining candidate ge...
<p>Colors define three Genetic Group: Group 1 in blue (Eastern and Western Otways races and the Chil...
<p>The lines belong to the germplasm bank of the United States Department of Agriculture (USDA). The...
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
<p>The optimal number of principal components found for the analysis was 21 based on the trend in al...
<p>Scatterplot visualizes the first two principal components. Points represent individual genotypes,...
a) Spatial PCA (sPCA) Analysis of Algerian and Moroccan goat breeds; b) eigenvalues for each global ...
<p>Colours represent population clusters: red for SE dingoes, purple for FI dingoes, blue for NW din...
<div><p>Gir is one of the main cattle breeds raised in tropical South American countries. Strong art...
Background: The dramatic progress in sequencing technologies offers unprecedented prospects for deci...
Gir is one of the main cattle breeds raised in tropical South American countries. Strong artificial ...
<p>Below is the plot of the contribution of each haplogroup to the first and second PC (projections ...