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Bayesian genomic models boost prediction accuracy for survival to Streptococcus agalactiae infection in Nile tilapia (Oreochromus nilioticus).
Joshi, Rajesh; Skaarud, Anders; Alvarez, Alejandro Tola; Moen, Thomas; Ødegård, Jørgen.
Affiliation
  • Joshi R; GenoMar Genetics AS, Tjuvholmen allé 11, 0252, Oslo, Norway. rajesh.joshi@genomar.com.
  • Skaarud A; GenoMar Genetics AS, Tjuvholmen allé 11, 0252, Oslo, Norway.
  • Alvarez AT; GenoMar Genetics AS, Tjuvholmen allé 11, 0252, Oslo, Norway.
  • Moen T; AquaGen AS, Sluppen, P.O. Box 1240, 7462, Trondheim, Norway.
  • Ødegård J; AquaGen AS, Sluppen, P.O. Box 1240, 7462, Trondheim, Norway.
Genet Sel Evol ; 53(1): 37, 2021 Apr 21.
Article in En | MEDLINE | ID: mdl-33882834
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Streptococcal Infections / Tilapia / Polymorphism, Single Nucleotide / Disease Resistance / Fish Diseases / Models, Genetic Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Genet Sel Evol Year: 2021 Document type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Streptococcal Infections / Tilapia / Polymorphism, Single Nucleotide / Disease Resistance / Fish Diseases / Models, Genetic Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Genet Sel Evol Year: 2021 Document type: Article