Using visual scores for genomic prediction of complex traits in breeding programs

Key message An approach for handling visual scores with potential errors and subjectivity in scores was evaluated in simulated and blueberry recurrent selection breeding schemes to assist breeders in their decision-making. Most genomic prediction methods are based on assumptions of normality due to...

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Veröffentlicht in:Theoretical and applied genetics 2024-01, Vol.137 (1), p.9-9, Article 9
Hauptverfasser: Azevedo, Camila Ferreira, Ferrão, Luis Felipe Ventorim, Benevenuto, Juliana, de Resende, Marcos Deon Vilela, Nascimento, Moyses, Nascimento, Ana Carolina Campana, Munoz, Patricio R.
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Sprache:eng
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