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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Principais autores:	Michaela Jung, Marius Hodel, Andrea Knauf, Daniela Kupper, Markus Neuditschko, Simone Bühlmann-Schütz, Bruno Studer, Andrea Patocchi, Giovanni AL Broggini
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2025-01-01
Series:	BMC Plant Biology
Assuntos:	Genomic selection Phenomic selection Malus × domestica Quantitative traits Apple REFPOP
Acceso en liña:	https://doi.org/10.1186/s12870-025-06104-w
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