NOVEL APPLICATIONS OF RANDOM FOREST FOR EXPLORING POPULATION STRUCTURE OF ATLANTIC SALMON (SALMO SALAR) IN LABRADOR, CANADA

• Main Author: Sylvester, Emma
• Other Authors: Department of Computational Biology and Bioinformatics, Master of Science, n/a, Robert G Beiko, Ian R Bradbury, Christophe Herbinger, Paul Bentzen, Not Applicable, Yes
• Format: Thesis
• Language: English
• Published: 2017
• Subjects: Fisheries management; conservation genetics; random forest; SNP selection; individual assignment; population genetics; landscape genetics; Canada; Lake Melville; Atlantic salmon; Salmo salar
• Online Access: http://hdl.handle.net/10222/73182

The detection of population-genetic structure is useful for understanding patterns of gene flow, population distribution, and wildlife management and conservation. In this work, we examine approaches for inferring the modern genetic structure of Atlantic salmon (Salmo salar). We explore the utility...