2016
DOI: 10.1186/s12711-016-0226-9
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Genomic prediction of host resistance to sea lice in farmed Atlantic salmon populations

Abstract: Background Sea lice have significant negative economic and welfare impacts on marine Atlantic salmon farming. Since host resistance to sea lice has a substantial genetic component, selective breeding can contribute to control of lice. Genomic selection uses genome-wide marker information to predict breeding values, and can achieve markedly higher accuracy than pedigree-based methods. Our aim was to assess the genetic architecture of host resistance to sea lice, and test the utility of genomic prediction of bre… Show more

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Cited by 191 publications
(216 citation statements)
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References 34 publications
(63 reference statements)
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“…; Tsai et al . , ; Vallejo et al . ) data, demonstrating the clear advantages over pedigree‐based methods.…”
Section: Applications Of Rad Sequencing In Aquaculturementioning
confidence: 99%
“…; Tsai et al . , ; Vallejo et al . ) data, demonstrating the clear advantages over pedigree‐based methods.…”
Section: Applications Of Rad Sequencing In Aquaculturementioning
confidence: 99%
“…In addition to inflicting substantial economic losses to farmed and wild fish, both species can be vectors for other pathogens. Resistance of Atlantic salmon to sea lice has been found as polygenic (Tsai et al, 2016a). A comparison of genomic selection methods was performed for C. rogercresseyi resistance based on genotyping with an SNP array .…”
Section: Domestication and Genomic Selectionmentioning
confidence: 99%
“…; Tsai et al. ). In particular, within‐family genomic evaluation has been proposed for aquaculture programmes as large family sizes are available and high levels of linkage disequilibrium (LD) within families can be attained with a limited number of markers (Lillehammer, Meuwissen, & Sonesson, ).…”
Section: Introductionmentioning
confidence: 97%