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Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus).

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Title: Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus).
Authors: Chen Z; School of Engineering and Computer Science & Centre for Data Science and Artificial Intelligence, Victoria University of Wellington, Wellington, 6140, New Zealand., Blommaert J; The New Zealand Institute for Plant and Food Research Ltd, Nelson, New Zealand., Mei Y; School of Engineering and Computer Science & Centre for Data Science and Artificial Intelligence, Victoria University of Wellington, Wellington, 6140, New Zealand. yi.mei@vuw.ac.nz., Jesson L; The New Zealand Institute for Plant and Food Research Ltd, Te Puke, New Zealand., Wellenreuther M; The New Zealand Institute for Plant and Food Research Ltd, Nelson, New Zealand.; School of Biological Sciences, University of Auckland, Auckland, New Zealand., Zhang M; School of Engineering and Computer Science & Centre for Data Science and Artificial Intelligence, Victoria University of Wellington, Wellington, 6140, New Zealand.
Source: BMC bioinformatics [BMC Bioinformatics] 2025 Nov 18; Vol. 26 (1), pp. 278. Date of Electronic Publication: 2025 Nov 18.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus).
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  Data: <searchLink fieldCode="AU" term="%22Chen+Z%22">Chen Z</searchLink>; School of Engineering and Computer Science & Centre for Data Science and Artificial Intelligence, Victoria University of Wellington, Wellington, 6140, New Zealand.<br /><searchLink fieldCode="AU" term="%22Blommaert+J%22">Blommaert J</searchLink>; The New Zealand Institute for Plant and Food Research Ltd, Nelson, New Zealand.<br /><searchLink fieldCode="AU" term="%22Mei+Y%22">Mei Y</searchLink>; School of Engineering and Computer Science & Centre for Data Science and Artificial Intelligence, Victoria University of Wellington, Wellington, 6140, New Zealand. yi.mei@vuw.ac.nz.<br /><searchLink fieldCode="AU" term="%22Jesson+L%22">Jesson L</searchLink>; The New Zealand Institute for Plant and Food Research Ltd, Te Puke, New Zealand.<br /><searchLink fieldCode="AU" term="%22Wellenreuther+M%22">Wellenreuther M</searchLink>; The New Zealand Institute for Plant and Food Research Ltd, Nelson, New Zealand.; School of Biological Sciences, University of Auckland, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Zhang+M%22">Zhang M</searchLink>; School of Engineering and Computer Science & Centre for Data Science and Artificial Intelligence, Victoria University of Wellington, Wellington, 6140, New Zealand.
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  Data: <searchLink fieldCode="JN" term="%22100965194%22">BMC bioinformatics</searchLink> [BMC Bioinformatics] 2025 Nov 18; Vol. 26 (1), pp. 278. <i>Date of Electronic Publication: </i>2025 Nov 18.
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