Optimizing genomic prediction of host resistance to koi herpesvirus disease in carp

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027162%3A_____%2F19%3AN0000212" target="_blank" >RIV/00027162:_____/19:N0000212 - isvavai.cz</a>

Alternative codes found

RIV/60076658:12520/19:43899271

Result on the web

<a href="https://www.frontiersin.org/articles/10.3389/fgene.2019.00543/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fgene.2019.00543/full</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fgene.2019.00543" target="_blank" >10.3389/fgene.2019.00543</a>

Result language

angličtina

Original language name

Optimizing genomic prediction of host resistance to koi herpesvirus disease in carp

Original language description

Genomic selection (GS) is increasingly applied in breeding programs of major aquaculture species, enabling improved prediction accuracy and genetic gain compared to pedigree-based approaches. Koi Herpesvirus disease (KHVD) is notifiable by the World Organization for Animal Health and the European Union, causing major economic losses to carp production. GS has potential to breed carp with improved resistance to KHVD, thereby contributing to disease control. In the current study, Restriction-site Associated DNA sequencing (RAD-seq) was applied on a population of 1,425 common carp juveniles which had been challenged with Koi herpes virus, followed by sampling of survivors and mortalities. GS was tested on a wide range of scenarios by varying both SNP densities and the genetic relationships between training and validation sets. The accuracy of correctly identifying KHVD resistant animals using GS was between 8 and 18% higher than pedigree best linear unbiased predictor (pBLUP) depending on the tested scenario. Furthermore, minor decreases in prediction accuracy were observed with decreased SNP density. However, the genetic relationship between the training and validation sets was a key factor in the efficacy of genomic prediction of KHVD resistance in carp, with substantially lower prediction accuracy when the relationships between the training and validation sets did not contain close relatives.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10603 - Genetics and heredity (medical genetics to be 3)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Frontiers in Genetics

ISSN

1664-8021

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

JUN 2019

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

9

Pages from-to

543

UT code for WoS article

000471334200001

EID of the result in the Scopus database

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