<p>a) Graphic plot of the principal component analysis of 183 maize inbred lines, calculated from ~355k SNP markers. The horizontal and vertical axes are the first and second principal components, respectively. b) Eigenvalue accumulation variance among PCs revealed variance contribution to only two PCs.</p
<p>Bi-plot of the ACY, TPH and Chroma index components for the offspring and the parents of the BC1 ...
<p>Bi-plot of the AWF, commercial production, SS conent and TA parameters of the selections and the ...
<p>The PCA score plot distinguishes the metabolic profiles of low-P sensitive and low-P tolerant mai...
<p>(A) PCA of 1,444 GBS-derived SNPs without missing data in any of the accessions. (B) PCA of six p...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
Results for 56 pooled samples based on AAFpool of 22,324 SNPs are summarized. PCA scores of the firs...
<p>The distribution of the gene expression values shows evident trends represented by the vectors as...
The PCA is based on the 30 samples from the discovery set and 98 CEU controls extracted from the 100...
Each symbol represents an individual. (a) Shows the population structure of investigated major regio...
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
Variance is primarily due to classic A-T phenotype (PC1). Red- Classic A-T phenotype (n = 3) and Blu...
<p>Loading plots of the eigenvector coefficients of each feature analyzed by PCA show the influence ...
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
<p>Bi-plot of the Chroma, TPH and ACY parameters of the selections and the corresponding parents of ...
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
<p>Bi-plot of the ACY, TPH and Chroma index components for the offspring and the parents of the BC1 ...
<p>Bi-plot of the AWF, commercial production, SS conent and TA parameters of the selections and the ...
<p>The PCA score plot distinguishes the metabolic profiles of low-P sensitive and low-P tolerant mai...
<p>(A) PCA of 1,444 GBS-derived SNPs without missing data in any of the accessions. (B) PCA of six p...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
Results for 56 pooled samples based on AAFpool of 22,324 SNPs are summarized. PCA scores of the firs...
<p>The distribution of the gene expression values shows evident trends represented by the vectors as...
The PCA is based on the 30 samples from the discovery set and 98 CEU controls extracted from the 100...
Each symbol represents an individual. (a) Shows the population structure of investigated major regio...
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
Variance is primarily due to classic A-T phenotype (PC1). Red- Classic A-T phenotype (n = 3) and Blu...
<p>Loading plots of the eigenvector coefficients of each feature analyzed by PCA show the influence ...
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
<p>Bi-plot of the Chroma, TPH and ACY parameters of the selections and the corresponding parents of ...
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
<p>Bi-plot of the ACY, TPH and Chroma index components for the offspring and the parents of the BC1 ...
<p>Bi-plot of the AWF, commercial production, SS conent and TA parameters of the selections and the ...
<p>The PCA score plot distinguishes the metabolic profiles of low-P sensitive and low-P tolerant mai...