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Description	Figure 1. Principal component analysis (A) and Bayesian clustering with STRUCTURE (B) of individual genotypes from 48 Cannabis accessions. Fiber and drug accessions are displayed in green and red respectively on the PCA. Ellipses illustrate 80% inertia of each accessions. Dots represent individuals, linked to their accessions (labelled within colored squares). On the STRUCTURE barplots, colors show the probability of assignment to each cluster (K = 2), perfectly distinguishing fibers from drugs.
Source	Dufresnes, C.; Jan, C.; Bienert, F.; Goudet, J.; Fumagalli, L. (2017). "Broad-scale genetic diversity of Cannabis for forensic applications". PLOS ONE 12 (1): e0170522. doi:10.1371/journal.pone.0170522.
Date	2017
Author	Dufresnes, C.; Jan, C.; Bienert, F.; Goudet, J.; Fumagalli, L.
Permission (Reusing this file)	Creative Commons Attribution 4.0 International
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+==Summary==
+{{Information
+|Description='''Figure 1.''' Principal component analysis '''(A)''' and Bayesian clustering with STRUCTURE '''(B)''' of individual genotypes from 48 ''Cannabis'' accessions. Fiber and drug accessions are displayed in green and red respectively on the PCA. Ellipses illustrate 80% inertia of each accessions. Dots represent individuals, linked to their accessions (labelled within colored squares). On the STRUCTURE barplots, colors show the probability of assignment to each cluster (K = 2), perfectly distinguishing fibers from drugs.
+|Source={{cite journal |title=Broad-scale genetic diversity of ''Cannabis'' for forensic applications |journal=PLOS ONE |author=Dufresnes, C.; Jan, C.; Bienert, F.; Goudet, J.; Fumagalli, L. |volume=12 |issue=1 |pages=e0170522 |year=2017 |doi=10.1371/journal.pone.0170522}}
+|Author=Dufresnes, C.; Jan, C.; Bienert, F.; Goudet, J.; Fumagalli, L.
+|Date=2017
+|Permission=[http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International]
+}}
 == Licensing ==
 {{cc-by-4.0}}