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Date
2023-03-30Type
- Conference Paper
ETH Bibliography
yes
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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. Show more
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publishedExternal links
Book title
XXXI International Horticultural Congress (IHC2022): International Symposium on Breeding and Effective Use of Biotechnology and Molecular Tools in Horticultural CropsJournal / series
Acta HorticulturaeVolume
Pages / Article No.
Publisher
International Society for Horticultural ScienceEvent
Subject
genomics-informed breeding; genetic variability; Malus domesticaOrganisational unit
03969 - Studer, Bruno / Studer, Bruno
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ETH Bibliography
yes
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