Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Isabela de Castro Sant' Anna"'
Autor:
Isabela de Castro Sant' Anna, Ricardo Augusto Diniz Cabral Ferreira, Moysés Nascimento, Gabi Nunes Silva, Vinicius Quintão Carneiro, Cosme Damião Cruz, Marciane Silva Oliveira, Francyse Edith Chagas
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0210531 (2019)
The identification of elite individuals is a critical component of most breeding programs. However, the achievement of this goal is limited by the high cost of phenotyping and experimental research. A significant benefit of genomic selection (GS) to
Externí odkaz:
https://doaj.org/article/7a80ef8fd3fe469aaf63d402967b1e72
Autor:
Iara Gonçalves dos Santos, Marco Antônio Peixoto, Cosme Damião Cruz, Reinaldo de Paula Ferreira, Moysés Nascimento, Renato Domiciano Silva Rosado, Isabela de Castro Sant Anna
Publikováno v:
Agronomy Journal. 114:3225-3233
Autor:
Vinícius Quintão Carneiro, Cosme Damião Cruz, Gabi Nunes Silva, Isabela de Castro Sant' Anna, Marciane da Silva Oliveira, Moysés Nascimento, Ricardo Augusto Diniz Cabral Ferreira, Francyse Edith Chagas
Publikováno v:
PLoS ONE
PLoS ONE, Vol 14, Iss 1, p e0210531 (2019)
PLoS ONE, Vol 14, Iss 1, p e0210531 (2019)
The identification of elite individuals is a critical component of most breeding programs. However, the achievement of this goal is limited by the high cost of phenotyping and experimental research. A significant benefit of genomic selection (GS) to
This paper aimed to evaluate the efficiency of subset selection of markers for genome-enabled prediction of genetic values using radial basis function neural networks (RBFNN). For this purpose, an F1 population from hybridization of divergent parents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c276ae7ed091a1dd06907d0d2c6169b