Genetic Parameters and Genome-Wide Association Studies of Quality Traits Characterised Using Imaging Technologies in Rainbow Trout,
Fatmeter
QTL
aquaculture
computer vision
fat content
flesh colour
genetic correlations
magnetic resonance imaging
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:
08
12
2020
accepted:
03
02
2021
entrez:
11
3
2021
pubmed:
12
3
2021
medline:
12
3
2021
Statut:
epublish
Résumé
One of the top priorities of the aquaculture industry is the genetic improvement of economically important traits in fish, such as those related to processing and quality. However, the accuracy of genetic evaluations has been hindered by a lack of data on such traits from a sufficiently large population of animals. The objectives of this study were thus threefold: (i) to estimate genetic parameters of growth-, yield-, and quality-related traits in rainbow trout (
Identifiants
pubmed: 33692832
doi: 10.3389/fgene.2021.639223
pmc: PMC7937956
doi:
Types de publication
Journal Article
Langues
eng
Pagination
639223Informations de copyright
Copyright © 2021 Blay, Haffray, Bugeon, D’Ambrosio, Dechamp, Collewet, Enez, Petit, Cousin, Corraze, Phocas and Dupont-Nivet.
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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