Evaluation of genomic and phenomic prediction for application in apple breeding

Abstract Background Apple breeding schemes can be improved by using genomic prediction models to forecast the performance of breeding material. The predictive ability of these models depends on factors like trait genetic architecture, training set size, relatedness of the selected material to the tr...

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Bibliographic Details

Published in:	BMC Plant Biology
Main Authors:	Michaela Jung, Marius Hodel, Andrea Knauf, Daniela Kupper, Markus Neuditschko, Simone Bühlmann-Schütz, Bruno Studer, Andrea Patocchi, Giovanni AL Broggini
Format:	Article
Language:	English
Published:	BMC 2025-01-01
Subjects:	Genomic selection Phenomic selection Malus × domestica Quantitative traits Apple REFPOP
Online Access:	https://doi.org/10.1186/s12870-025-06104-w