2022
DOI: 10.1002/ece3.8809
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IIb‐RAD‐sequencing coupled with random forest classification indicates regional population structuring and sex‐specific differentiation in salmon lice (Lepeophtheirus salmonis)

Abstract: The aquaculture industry has been dealing with salmon lice problems forming serious threats to salmonid farming. Several treatment approaches have been used to control the parasite. Treatment effectiveness must be optimized, and the systematic genetic differences between subpopulations must be studied to monitor louse species and enhance targeted control measures. We have used IIb‐RAD sequencing in tandem with a random forest classification algorithm to detect the regional genetic structure of the Norwegian sa… Show more

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Cited by 3 publications
(1 citation statement)
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References 126 publications
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“…Random forest (RF) was used in other studies, outside infrastructure, and construction, to perform a binary classification, obtaining, for example, 87.5% accuracy for the prediction of the gender of salmons (Guragain et al., 2022), 78% accuracy to foresee whether the water contains nitrate, and 74% for detecting iron and arsenic in the water (Tesoriero et al., 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Random forest (RF) was used in other studies, outside infrastructure, and construction, to perform a binary classification, obtaining, for example, 87.5% accuracy for the prediction of the gender of salmons (Guragain et al., 2022), 78% accuracy to foresee whether the water contains nitrate, and 74% for detecting iron and arsenic in the water (Tesoriero et al., 2017).…”
Section: Discussionmentioning
confidence: 99%