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Other ORP type . 2022
License: CC BY
Data sources: Sygma
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Genomic relationships between training and testing sets affect genomic prediction accuracy of nodavirus resistance in Gilthead sea bream

Authors: Faggion, Sara; Carnier, Paolo; Bonfatti, Valentina; Bargelloni, Luca;

Genomic relationships between training and testing sets affect genomic prediction accuracy of nodavirus resistance in Gilthead sea bream

Abstract

Gilthead sea bream (Sparus aurata) has been reported to be susceptible to a reassortant betanodavirus strain (RGNNV/SJNNV), posing a new threat for sea bream industry (Volpe et al. 2020) and raising the attention to selective breeding as a plausible disease prevention action. Genomic selection might be beneficial for traits, such as disease resistance, characterized by difficult, expensive and time-consuming routine individual phenotyping. Genomic models are trained firstly using a reference population of full- and half-sibs of the future breeding candidates, but, in a long-term view, the prediction of the genetic merit of future breeding candidates should be satisfactory even when the reference population consists of distant relatives of the animals to be predicted. In this sense, the genomic predictive accuracy provided by random k-fold cross-validations might be unrealistic. In this study, we assessed the accuracy of a genomic prediction model for VNN symptomatology pseudo-phenotypes (estimated breeding values, EBV) in gilthead sea bream in three different validation settings: 1) a random cross-validation; 2) a cross-validation based on genomic clustering; 3) a leave-one-family-out (LOFO) validation focused on the parents of the fish subjected to the VNN challenge test.

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Sustainable Development Solutions Network - Greece