Genome wide association and genomic prediction for growth traits in juvenile farmed Atlantic salmon using a high density SNP array

Bibliographic Details
Published in:BMC Genomics
Main Authors: Tsai, Hsin-Yuan, Hamilton, Alastair, Tinch, Alan E., Guy, Derrick R., Gharbi, Karim, Stear, Michael J., Matika, Oswald, Bishop, Steve C., Houston, Ross D.
Other Authors: Biotechnology and Biological Sciences Research Council (GB), Technology Strategy Board grant, BBSRC Institute Strategic Funding Grant to The Roslin Institute
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science and Business Media LLC 2015
Subjects:
Genetics
Biotechnology
Atlantic salmon
Online Access:http://dx.doi.org/10.1186/s12864-015-2117-9
http://link.springer.com/content/pdf/10.1186/s12864-015-2117-9
id crspringernat:10.1186/s12864-015-2117-9
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spelling crspringernat:10.1186/s12864-015-2117-9 2023-05-15T15:29:14+02:00 Genome wide association and genomic prediction for growth traits in juvenile farmed Atlantic salmon using a high density SNP array Tsai, Hsin-Yuan Hamilton, Alastair Tinch, Alan E. Guy, Derrick R. Gharbi, Karim Stear, Michael J. Matika, Oswald Bishop, Steve C. Houston, Ross D. Biotechnology and Biological Sciences Research Council (GB) Technology Strategy Board grant BBSRC Institute Strategic Funding Grant to The Roslin Institute 2015 http://dx.doi.org/10.1186/s12864-015-2117-9 http://link.springer.com/content/pdf/10.1186/s12864-015-2117-9 en eng Springer Science and Business Media LLC BMC Genomics volume 16, issue 1 ISSN 1471-2164 Genetics Biotechnology journal-article 2015 crspringernat https://doi.org/10.1186/s12864-015-2117-9 2022-01-04T11:00:44Z Article in Journal/Newspaper Atlantic salmon Springer Nature (via Crossref) BMC Genomics 16 1
institution Open Polar
collection Springer Nature (via Crossref)
op_collection_id crspringernat
language English
topic Genetics
Biotechnology
spellingShingle Genetics
Biotechnology
Tsai, Hsin-Yuan
Hamilton, Alastair
Tinch, Alan E.
Guy, Derrick R.
Gharbi, Karim
Stear, Michael J.
Matika, Oswald
Bishop, Steve C.
Houston, Ross D.
Genome wide association and genomic prediction for growth traits in juvenile farmed Atlantic salmon using a high density SNP array
topic_facet Genetics
Biotechnology
author2 Biotechnology and Biological Sciences Research Council (GB)
Technology Strategy Board grant
BBSRC Institute Strategic Funding Grant to The Roslin Institute
format Article in Journal/Newspaper
author Tsai, Hsin-Yuan
Hamilton, Alastair
Tinch, Alan E.
Guy, Derrick R.
Gharbi, Karim
Stear, Michael J.
Matika, Oswald
Bishop, Steve C.
Houston, Ross D.
author_facet Tsai, Hsin-Yuan
Hamilton, Alastair
Tinch, Alan E.
Guy, Derrick R.
Gharbi, Karim
Stear, Michael J.
Matika, Oswald
Bishop, Steve C.
Houston, Ross D.
author_sort Tsai, Hsin-Yuan
title Genome wide association and genomic prediction for growth traits in juvenile farmed Atlantic salmon using a high density SNP array
title_short Genome wide association and genomic prediction for growth traits in juvenile farmed Atlantic salmon using a high density SNP array
title_full Genome wide association and genomic prediction for growth traits in juvenile farmed Atlantic salmon using a high density SNP array
title_fullStr Genome wide association and genomic prediction for growth traits in juvenile farmed Atlantic salmon using a high density SNP array
title_full_unstemmed Genome wide association and genomic prediction for growth traits in juvenile farmed Atlantic salmon using a high density SNP array
title_sort genome wide association and genomic prediction for growth traits in juvenile farmed atlantic salmon using a high density snp array
publisher Springer Science and Business Media LLC
publishDate 2015
url http://dx.doi.org/10.1186/s12864-015-2117-9
http://link.springer.com/content/pdf/10.1186/s12864-015-2117-9
genre Atlantic salmon
genre_facet Atlantic salmon
op_source BMC Genomics
volume 16, issue 1
ISSN 1471-2164
op_doi https://doi.org/10.1186/s12864-015-2117-9
container_title BMC Genomics
container_volume 16
container_issue 1
_version_ 1766359623681441792

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