Estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot Scophthalmus maximus using the Bayesian method based on Gibbs sampling

Bibliographic Details
Published in:Acta Oceanologica Sinica
Main Authors: Ma, Aijun, Wang, Xin’an, Huang, Zhihui, Liu, Zhifeng, Cui, Wenxiao, Qu, Jiangbo
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science and Business Media LLC 2018
Subjects:
Aquatic Science
Oceanography
Scophthalmus maximus
Turbot
Online Access:http://dx.doi.org/10.1007/s13131-018-1185-5
http://link.springer.com/content/pdf/10.1007/s13131-018-1185-5.pdf
http://link.springer.com/article/10.1007/s13131-018-1185-5/fulltext.html
id crspringernat:10.1007/s13131-018-1185-5
record_format openpolar
spelling crspringernat:10.1007/s13131-018-1185-5 2023-05-15T18:15:36+02:00 Estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot Scophthalmus maximus using the Bayesian method based on Gibbs sampling Ma, Aijun Wang, Xin’an Huang, Zhihui Liu, Zhifeng Cui, Wenxiao Qu, Jiangbo 2018 http://dx.doi.org/10.1007/s13131-018-1185-5 http://link.springer.com/content/pdf/10.1007/s13131-018-1185-5.pdf http://link.springer.com/article/10.1007/s13131-018-1185-5/fulltext.html en eng Springer Science and Business Media LLC http://www.springer.com/tdm Acta Oceanologica Sinica volume 37, issue 6, page 40-46 ISSN 0253-505X 1869-1099 Aquatic Science Oceanography journal-article 2018 crspringernat https://doi.org/10.1007/s13131-018-1185-5 2022-01-04T13:41:05Z Article in Journal/Newspaper Scophthalmus maximus Turbot Springer Nature (via Crossref) Acta Oceanologica Sinica 37 6 40 46
institution Open Polar
collection Springer Nature (via Crossref)
op_collection_id crspringernat
language English
topic Aquatic Science
Oceanography
spellingShingle Aquatic Science
Oceanography
Ma, Aijun
Wang, Xin’an
Huang, Zhihui
Liu, Zhifeng
Cui, Wenxiao
Qu, Jiangbo
Estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot Scophthalmus maximus using the Bayesian method based on Gibbs sampling
topic_facet Aquatic Science
Oceanography
format Article in Journal/Newspaper
author Ma, Aijun
Wang, Xin’an
Huang, Zhihui
Liu, Zhifeng
Cui, Wenxiao
Qu, Jiangbo
author_facet Ma, Aijun
Wang, Xin’an
Huang, Zhihui
Liu, Zhifeng
Cui, Wenxiao
Qu, Jiangbo
author_sort Ma, Aijun
title Estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot Scophthalmus maximus using the Bayesian method based on Gibbs sampling
title_short Estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot Scophthalmus maximus using the Bayesian method based on Gibbs sampling
title_full Estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot Scophthalmus maximus using the Bayesian method based on Gibbs sampling
title_fullStr Estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot Scophthalmus maximus using the Bayesian method based on Gibbs sampling
title_full_unstemmed Estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot Scophthalmus maximus using the Bayesian method based on Gibbs sampling
title_sort estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot scophthalmus maximus using the bayesian method based on gibbs sampling
publisher Springer Science and Business Media LLC
publishDate 2018
url http://dx.doi.org/10.1007/s13131-018-1185-5
http://link.springer.com/content/pdf/10.1007/s13131-018-1185-5.pdf
http://link.springer.com/article/10.1007/s13131-018-1185-5/fulltext.html
genre Scophthalmus maximus
Turbot
genre_facet Scophthalmus maximus
Turbot
op_source Acta Oceanologica Sinica
volume 37, issue 6, page 40-46
ISSN 0253-505X 1869-1099
op_rights http://www.springer.com/tdm
op_doi https://doi.org/10.1007/s13131-018-1185-5
container_title Acta Oceanologica Sinica
container_volume 37
container_issue 6
container_start_page 40
op_container_end_page 46
_version_ 1766188775625457664

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