<p>(A) Population structure analysis of 217 sub-core entries showing five sub-groups, the estimated membership probability listed on the y-axis and each entry represented by a thin vertical line in different color: red = ARO, <i>aromatic</i>; blue = AUS, <i>aus</i>; pink = IND, <i>indica</i>; green = TEJ, <i>temperate japonica</i> and yellow = TRJ, <i>tropical japonica</i>. (B) The spatial distribution of the entries with two dimensions in the principal components analysis (PCA). (C) The unweighted pair-group method with arithmetic mean (UPGMA) tree based on Nei's genetic distance using five sub-group partitioning.</p
<p>The optimal number of principal components found for the analysis was 21 based on the trend in al...
<p>(A) Biplot of principal component analysis based on variant vectors. The dots show the eight <i>B...
<p><i> R. decorum</i> individuals from four regions (shown in different shapes) were separated into ...
Each symbol represents an individual. (a) Shows the population structure of investigated major regio...
<p>Colors define three Genetic Group: Group 1 in blue (Eastern and Western Otways races and the Chil...
<p>(A) Clustering Structure analysis. (B) NJ-tree based on Nei´s genetic distances. (C) Principal Co...
<p>Orange asterisk: 2<i>x</i>; blue star: 4<i>x</i>; pink diamond: 6<i>x</i>; green dot: 8<i>x</i>. ...
<p>(a) Neighbor-joining phylogenetic tree based on 15,444 identified SNPs with bootstrap values calc...
<p>(A) Unrooted neighbor-joining tree showing genetic relationships among the cultivars based on C.S...
<p>In each figure, red is used for <i>O. rufipogon</i>, blue for <i>indica</i>, and green for <i>jap...
<p>Clustering of study subjects using principal coordinates analysis (PCoA) based on unweighted UniF...
<p>A, the proportion of the membership coefficient for each individual from 56 <i>A. mono</i> popula...
(A) Genetic clustering by general sampling locality (left, pie charts) and individual (bar graph to ...
<p>(a) model based approach for population structure analysis. (b) PCA approach for population struc...
Abstract Principal Components Analysis (PCA) is a common way to study the sources of variation in a ...
<p>The optimal number of principal components found for the analysis was 21 based on the trend in al...
<p>(A) Biplot of principal component analysis based on variant vectors. The dots show the eight <i>B...
<p><i> R. decorum</i> individuals from four regions (shown in different shapes) were separated into ...
Each symbol represents an individual. (a) Shows the population structure of investigated major regio...
<p>Colors define three Genetic Group: Group 1 in blue (Eastern and Western Otways races and the Chil...
<p>(A) Clustering Structure analysis. (B) NJ-tree based on Nei´s genetic distances. (C) Principal Co...
<p>Orange asterisk: 2<i>x</i>; blue star: 4<i>x</i>; pink diamond: 6<i>x</i>; green dot: 8<i>x</i>. ...
<p>(a) Neighbor-joining phylogenetic tree based on 15,444 identified SNPs with bootstrap values calc...
<p>(A) Unrooted neighbor-joining tree showing genetic relationships among the cultivars based on C.S...
<p>In each figure, red is used for <i>O. rufipogon</i>, blue for <i>indica</i>, and green for <i>jap...
<p>Clustering of study subjects using principal coordinates analysis (PCoA) based on unweighted UniF...
<p>A, the proportion of the membership coefficient for each individual from 56 <i>A. mono</i> popula...
(A) Genetic clustering by general sampling locality (left, pie charts) and individual (bar graph to ...
<p>(a) model based approach for population structure analysis. (b) PCA approach for population struc...
Abstract Principal Components Analysis (PCA) is a common way to study the sources of variation in a ...
<p>The optimal number of principal components found for the analysis was 21 based on the trend in al...
<p>(A) Biplot of principal component analysis based on variant vectors. The dots show the eight <i>B...
<p><i> R. decorum</i> individuals from four regions (shown in different shapes) were separated into ...