Fig. 2
Principal Component Analysis (PCA) identifies two directions, Dim1 (PC1) and Dim2 (PC2) along which the data have the largest spread. Samples are coloured according to their contribution for a given observation (blue, low contribution; red, high contribution). Samples were given numbers according to location: Veselí I (1), Vlkov (2), Podřezaný(3), Cep I (4), Nový Kanclíř (5), Hejtman (6), Staňkovský (7), USA (8) and they were given letters according to the year of collection: 2009 (a), 2011 (b), 2012 (c), 2013 (d) and 2014 (e)