a) correlation plot for OIV codes classified according to their type (M: Morphology, C: Color, P: Pilosity, see S5 Table) b) plot for Vitis accessions grouped by clades identified using molecular data and colored as in Fig 1. Hybrids were excluded.</p
<p>(A) 10,000 F1 hybrids (green) were generated by simulating <i>V. vinifera</i> x wild <i>Vitis</i>...
<p>Bi-plot of the fruit weight, commercial production, TAC, TPH and ACY paraemters of the selections...
<p>PCA based on biometrical parameters: plant height (PH), plant diameter (PD), fresh weight (FW), d...
a) correlation plot for variables classified according to their type (length, angle and ratio, see S...
a) correlation plot for variables classified according to their type (angle and ratio) b) plot for V...
(A) PCA fails to clearly distinguish grapevine morphotypes. (B) A Mapper graph using PC1 as a lens r...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
<p>A1) PC scores plot of Merlot grape samples; A2) Loadings plot of Merlot grape samples; B1) PC sco...
<p>Principal component analysis (PCA) plot showing the grouping of the almond accessions.</p
<p>Two-dimensional PCA plot depicting the distribution of accessions over the first two PCs. Differe...
<p>Numbers in parentheses are estimated <i>V</i>. <i>vinifera</i> ancestry proportions based on PC1....
<p>(A) PC axis 1 (PC1) and PC2 were calculated using 2959 SNPs from 333 <i>V. vinifera</i> and 333 w...
Vitis accessions (codes in S1 Table) were grouped in separated clades: EA (East Asia, blue), EU (Eur...
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
<p>The proportion of the variance explained is found within parentheses on each axis. <b>A) PCA with...
<p>(A) 10,000 F1 hybrids (green) were generated by simulating <i>V. vinifera</i> x wild <i>Vitis</i>...
<p>Bi-plot of the fruit weight, commercial production, TAC, TPH and ACY paraemters of the selections...
<p>PCA based on biometrical parameters: plant height (PH), plant diameter (PD), fresh weight (FW), d...
a) correlation plot for variables classified according to their type (length, angle and ratio, see S...
a) correlation plot for variables classified according to their type (angle and ratio) b) plot for V...
(A) PCA fails to clearly distinguish grapevine morphotypes. (B) A Mapper graph using PC1 as a lens r...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
<p>A1) PC scores plot of Merlot grape samples; A2) Loadings plot of Merlot grape samples; B1) PC sco...
<p>Principal component analysis (PCA) plot showing the grouping of the almond accessions.</p
<p>Two-dimensional PCA plot depicting the distribution of accessions over the first two PCs. Differe...
<p>Numbers in parentheses are estimated <i>V</i>. <i>vinifera</i> ancestry proportions based on PC1....
<p>(A) PC axis 1 (PC1) and PC2 were calculated using 2959 SNPs from 333 <i>V. vinifera</i> and 333 w...
Vitis accessions (codes in S1 Table) were grouped in separated clades: EA (East Asia, blue), EU (Eur...
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
<p>The proportion of the variance explained is found within parentheses on each axis. <b>A) PCA with...
<p>(A) 10,000 F1 hybrids (green) were generated by simulating <i>V. vinifera</i> x wild <i>Vitis</i>...
<p>Bi-plot of the fruit weight, commercial production, TAC, TPH and ACY paraemters of the selections...
<p>PCA based on biometrical parameters: plant height (PH), plant diameter (PD), fresh weight (FW), d...