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Genomic prediction in multi-environment trials in maize using statistical and machine learning methods. Autoria: GUIMARAES, L. J. M.; GUIMARÃES, C. T.; PASTINA, M. M. 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. Thi... ... Repositório: BDPA Ano de publicação: 2024
Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms. Autoria: CAIXETA, E. T. Genomic selection (GS) emphasizes the simultaneous prediction of the genetic effects of thousands of scattered markers over the genome. Several statistical methodologies have been used in GS for the p... ... Repositório: BDPA Ano de publicação: 2021

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