Genomic prediction model optimization for growth traits of olive flounder (Paralichthys olivaceus)-Reference-Cited by-同舟云学术

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Genomic prediction model optimization for growth traits of olive flounder (Paralichthys olivaceus)

Published:2024-06 Issue: Volume:36 Page:102132
ISSN:2352-5134
Container-title:Aquaculture Reports
language:en
Short-container-title:Aquaculture Reports

Author:

Omeka W.K.M.,Liyanage D.S.,Lee Sukkyoung,Udayantha H.M.V.,Kim Gaeun,Ganeshalingam Subothini,Jeong Taehyug,Jones David B.,Massault Cecile,Jerry Dean R.,Lee Jehee

Funder

Ministry of Oceans and Fisheries

National Research Foundation of Korea

Korea Institute of Marine Science and Technology promotion

Ministry of Education

Publisher

Elsevier BV

Reference57 articles.

1. Estimation of additive and non‐additive genetic effects for fertility and reproduction traits in North American Holstein cattle using genomic information

2. Random forests;Breiman;Mach. Learn.,2001

3. Mapping complex traits using Random Forests;Bureau;BMC Genet,2003

4. Genome–wide association study and genomic prediction of growth traits in bighead catfish (Clarias macrocephalus Günther, 1864);Chaivichoo;Aquaculture,2023

5. Second-generation PLINK: rising to the challenge of larger and richer datasets;Chang;Gigascience,2015

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