Home > XXXI International Horticultural Congress (IHC2022): International Symposium on Breeding and Effective Use of Biotechnology and Molecular Tools in Horticultural Crops > Genomic selection in apple: lessons from preliminary studies

Articles

Genomic selection in apple: lessons from preliminary studies

Article number

1362_16

Pages

113 – 122

Language

English

Abstract

Genomic selection (GS) in apple has the potential to enhance breeding efficiency through decreased generation interval and/or increased early selection intensity.
In GS, a large training set of individuals with both phenotypic and genotypic data are used to construct a statistical prediction model, which is then applied to estimate genomic breeding values (GBVs) of individuals that only have genotypic data.
One of the key-factors determining GS efficiency is the prediction accuracy, i.e., the correlation between GBV and true breeding values.
In apple, several studies have now assessed prediction accuracy under various settings regarding genotypic data collection, traits studied and building of the training and validation sets.
The objective of the presentation is to learn from these studies to provide suggestions to apply GS in apple and identify remaining areas to explore.

Publication

XXXI International Horticultural Congress (IHC2022): International Symposium on Breeding and Effective Use of Biotechnology and Molecular Tools in Horticultural Crops

Authors

H. Muranty, M. Jung, M. Roth, X. Cazenave, A. Patocchi, F. Laurens, C.-E. Durel

Keywords

genomics-informed breeding, genetic variability, Malus domestica

Full text

https://doi.org/10.17660/ActaHortic.2023.1362.16

Groups involved

Online Articles (85)

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