Genomic Prediction for Whole Weight, Body Shape, Meat Yield, and Color Traits in the Portuguese Oyster
genetic improvement
genetic parameters
genomic selection
high density SNP markers
prediction accuracy
Journal
Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621
Informations de publication
Date de publication:
2021
2021
Historique:
received:
30
01
2021
accepted:
07
06
2021
entrez:
26
7
2021
pubmed:
27
7
2021
medline:
27
7
2021
Statut:
epublish
Résumé
Genetic improvement for quality traits, especially color and meat yield, has been limited in aquaculture because the assessment of these traits requires that the animals be slaughtered first. Genotyping technologies do, however, provide an opportunity to improve the selection efficiency for these traits. The main purpose of this study is to assess the potential for using genomic information to improve meat yield (soft tissue weight and condition index), body shape (cup and fan ratios), color (shell and mantle), and whole weight traits at harvest in the Portuguese oyster,
Identifiants
pubmed: 34306010
doi: 10.3389/fgene.2021.661276
pmc: PMC8298027
doi:
Types de publication
Journal Article
Langues
eng
Pagination
661276Informations de copyright
Copyright © 2021 Vu, Knibb, Gondro, Subramanian, Nguyen, Alam, Dove, Gilmour, Vu, Bhyan, Tearle, Khuong, Le and O’Connor.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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