Article
Genomic prediction in multi-environment trials in maize using statistical and machine learning methods.
Scientific reports - 11 Jan 2024
Barreto Cynthia Aparecida Valiati, das Graças Dias Kaio Olimpio, de Sousa Ithalo Coelho, Azevedo Camila Ferreira, Nascimento Ana Carolina Campana, Guimarães Lauro José Moreira, Guimarães Claudia Teixeira, Pastina Maria Marta, Nascimento Moysés
Abstract excerpt
In the context of multi-environment trials (MET), genomic prediction is proposed as a tool that allows the prediction of the phenotype of single cross hybrids that were not tested in field trials. This approach saves time and costs compared to traditional breeding methods. Thus, this study aimed to evaluate the genomic prediction of single cross maize hybrids not tested in MET, grain yield and female flowering...
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