An initial exploration of machine learning for establishing associations between genetic markers and THC levels in Cannabis sativa samples-Reference-Cited by-同舟云学术

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An initial exploration of machine learning for establishing associations between genetic markers and THC levels in Cannabis sativa samples

Published:2024-11 Issue: Volume:73 Page:103123
ISSN:1872-4973
Container-title:Forensic Science International: Genetics
language:en
Short-container-title:Forensic Science International: Genetics

Author:

Cisana Selena,Di Nunzio Michele,Brenzini Valentina,Omedei Monica,Seganti Fabrizio,Ververi Christina,Gerace Enrico,Salomone Alberto,Berti Andrea,Barni Filippo,Schiavone Sergio,Coppi Andrea,Di Nunzio Ciro,Garofano Paolo,Alladio Eugenio

Publisher

Elsevier BV

Reference68 articles.

1. Assessment of genetic diversity and population structure in iranian Cannabis germplasm;Soorni;Sci. Rep.,2017

2. Assessment of cannabinoids content in micropropagated plants of Cannabis sativa and their comparison with conventionally propagated plants and mother plant during developmental stages of growth;Chandra;Planta Med.,2010

3. Analysis of cannabinoids in hemp plants;Giroud;Chim. (Aarau),2002

4. J.J. Coleman, Did the 2018 Farm Bill ’ s Hemp Provisions Decriminalize Marijuana ? 2 Passage of Agricultural Improvement Act ( AIA) of 2018, 14 (2021) 1–21.

5. A. Potter, D. Weinstock, High Time: The Legalization and Regulation of Cannabis in Canada, in: Saskatchewan Law Rev. 2020, 2020: pp. 92–94.

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