The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar)

Bibliographic Details
Published in:Genetics Selection Evolution
Main Authors: Correa, Katharina, Bangera, Rama, Figueroa, René, Lhorente, Jean P., Yáñez, José M.
Other Authors: Corporación de Fomento de la Producción, Comisión Nacional de Investigación Científica y Tecnológica
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science and Business Media LLC 2017
Subjects:
Online Access:http://dx.doi.org/10.1186/s12711-017-0291-8
http://link.springer.com/content/pdf/10.1186/s12711-017-0291-8.pdf
id crspringernat:10.1186/s12711-017-0291-8
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spelling crspringernat:10.1186/s12711-017-0291-8 2023-05-15T15:30:09+02:00 The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar) Correa, Katharina Bangera, Rama Figueroa, René Lhorente, Jean P. Yáñez, José M. Corporación de Fomento de la Producción Comisión Nacional de Investigación Científica y Tecnológica 2017 http://dx.doi.org/10.1186/s12711-017-0291-8 http://link.springer.com/content/pdf/10.1186/s12711-017-0291-8.pdf en eng Springer Science and Business Media LLC Genetics Selection Evolution volume 49, issue 1 ISSN 1297-9686 Genetics Animal Science and Zoology General Medicine Ecology, Evolution, Behavior and Systematics journal-article 2017 crspringernat https://doi.org/10.1186/s12711-017-0291-8 2022-01-04T12:57:22Z Article in Journal/Newspaper Atlantic salmon Salmo salar Springer Nature (via Crossref) Genetics Selection Evolution 49 1
institution Open Polar
collection Springer Nature (via Crossref)
op_collection_id crspringernat
language English
topic Genetics
Animal Science and Zoology
General Medicine
Ecology, Evolution, Behavior and Systematics
spellingShingle Genetics
Animal Science and Zoology
General Medicine
Ecology, Evolution, Behavior and Systematics
Correa, Katharina
Bangera, Rama
Figueroa, René
Lhorente, Jean P.
Yáñez, José M.
The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar)
topic_facet Genetics
Animal Science and Zoology
General Medicine
Ecology, Evolution, Behavior and Systematics
author2 Corporación de Fomento de la Producción
Comisión Nacional de Investigación Científica y Tecnológica
format Article in Journal/Newspaper
author Correa, Katharina
Bangera, Rama
Figueroa, René
Lhorente, Jean P.
Yáñez, José M.
author_facet Correa, Katharina
Bangera, Rama
Figueroa, René
Lhorente, Jean P.
Yáñez, José M.
author_sort Correa, Katharina
title The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar)
title_short The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar)
title_full The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar)
title_fullStr The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar)
title_full_unstemmed The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar)
title_sort use of genomic information increases the accuracy of breeding value predictions for sea louse (caligus rogercresseyi) resistance in atlantic salmon (salmo salar)
publisher Springer Science and Business Media LLC
publishDate 2017
url http://dx.doi.org/10.1186/s12711-017-0291-8
http://link.springer.com/content/pdf/10.1186/s12711-017-0291-8.pdf
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
op_source Genetics Selection Evolution
volume 49, issue 1
ISSN 1297-9686
op_doi https://doi.org/10.1186/s12711-017-0291-8
container_title Genetics Selection Evolution
container_volume 49
container_issue 1
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