Cite
Genomic and machine learning-based screening of aquaculture-associated introgression into at-risk wild North American Atlantic salmon (Salmo salar) populations.
MLA
Nugent, Cameron M., et al. “Genomic and Machine Learning-Based Screening of Aquaculture-Associated Introgression into at-Risk Wild North American Atlantic Salmon (Salmo Salar) Populations.” Molecular Ecology Resources, May 2023. EBSCOhost, https://doi.org/10.1111/1755-0998.13811.
APA
Nugent, C. M., Kess, T., Brachmann, M. K., Langille, B. L., Holborn, M. K., Beck, S. V., Smith, N., Duffy, S. J., Lehnert, S. J., Wringe, B. F., Bentzen, P., & Bradbury, I. R. (2023). Genomic and machine learning-based screening of aquaculture-associated introgression into at-risk wild North American Atlantic salmon (Salmo salar) populations. Molecular Ecology Resources. https://doi.org/10.1111/1755-0998.13811
Chicago
Nugent, Cameron M, Tony Kess, Matthew K Brachmann, Barbara L Langille, Melissa K Holborn, Samantha V Beck, Nicole Smith, et al. 2023. “Genomic and Machine Learning-Based Screening of Aquaculture-Associated Introgression into at-Risk Wild North American Atlantic Salmon (Salmo Salar) Populations.” Molecular Ecology Resources, May. doi:10.1111/1755-0998.13811.