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| Lima,Leísa Pires; Azevedo,Camila Ferreira; Resende,Marcos Deon Vilela de; Silva,Fabyano Fonseca e; Viana,José Marcelo Soriano; Oliveira,Eder Jorge de. |
| ABSTRACT: Genome-wide selection (GWS) is currently a technique of great importance in plant breeding, since it improves efficiency of genetic evaluations by increasing genetic gains. The process is based on genomic estimated breeding values (GEBVs) obtained through phenotypic and dense marker genomic information. In this context, GEBVs of N individuals are calculated through appropriate models, which estimate the effect of each marker on phenotypes, allowing the early identification of genetically superior individuals. However, GWS leads to statistical challenges, due to high dimensionality and multicollinearity problems. These challenges require the use of statistical methods to approach the regularization of the estimation process. Therefore, we aimed to... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: G-BLUP; BLASSO; Genomic prediction; Genomic heritability. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001500368 |
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