Research:2026-02-06/Journal article/identification-of-biogeographically-informative-microssatelite-markers-for-brazilian-cannabis-sativa-samples-a

ResearchJournal article6 February 2026

Identification of biogeographically informative microssatelite markers for Brazilian Cannabis sativa samples: a machine learning approach for forensic origin prediction

Cássio Augusto Rodrigues Bettim, Lucas de Oliveira Pereira Ribeiro, Oscar Victor Cardenas Alegría, Eduardo Filipe Avila Silva, Franciele Maboni Siqueira, Flávio Anastácio de Oliveira Camargo, Clarice Sampaio Alho, Márcio Dorn

International Journal of Legal Medicine

Tests microsatellite (SSR) markers for tracing the geographic origin of Cannabis sativa seized in Brazil, using genomic data from 38 samples from Paraguay, Colombia, the Marijuana Polygon region and a group of foreign commercial strains. Machine-learning feature selection combined with support vector classifiers assigned every sample correctly using nine SSRs, and the same markers separated the four groups in ordination and clustering. The authors note that larger sample groups are needed before the panel is used in investigations. The study concerns the provenance genetics of trafficked material, not landraces as such.

Read the paperPDF

DOI10.1007/s00414-025-03716-7

CountryBrazil

More research from Brazil

• 5 Mar 2026Proibição, erradicação e dispersão: análise do deslocamento dos plantios ilícitos de maconha no Nordeste brasileiro ao longo de quatro décadas (1943-1983)
• 1 Mar 2026Colonial Legacies of Drug Policing in Brazil: The Cannabis Case in Historical Perspective

Record created 15 October 2026maintained by landrace.wiki editorspage history

2026-02-06 2026-10-15 Identification of biogeographically informative microssatelite markers for Brazilian Cannabis sativa samples: a machine learning approach for forensic origin prediction Journal article Genetics Cássio Augusto Rodrigues Bettim, Lucas de Oliveira Pereira Ribeiro, Oscar Victor Cardenas Alegría, Eduardo Filipe Avila Silva, Franciele Maboni Siqueira, Flávio Anastácio de Oliveira Camargo, Clarice Sampaio Alho, Márcio Dorn International Journal of Legal Medicine 2026 10.1007/s00414-025-03716-7 https://doi.org/10.1007/s00414-025-03716-7 https://link.springer.com/content/pdf/10.1007/s00414-025-03716-7.pdf Tests microsatellite (SSR) markers for tracing the geographic origin of Cannabis sativa seized in Brazil, using genomic data from 38 samples from Paraguay, Colombia, the Marijuana Polygon region and a group of foreign commercial strains. Machine-learning feature selection combined with support vector classifiers assigned every sample correctly using nine SSRs, and the same markers separated the four groups in ordination and clustering. The authors note that larger sample groups are needed before the panel is used in investigations. The study concerns the provenance genetics of trafficked material, not landraces as such. Brazil