Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids

Detalhes bibliográficos
Autor(a) principal: DANILO HOTTIS LYRA
Data de Publicação: 2017
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5117247
id BRCRIS_b48af1e8ae4e9deaeb1f53a52353fda6
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids
title Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids
spellingShingle Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids
Kernel Gaussiano
Gaussian kernel
DANILO HOTTIS LYRA
title_short Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids
title_full Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids
title_fullStr Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids
Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids
title_full_unstemmed Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids
Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids
title_sort Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids
topic Kernel Gaussiano
Gaussian kernel
publishDate 2017
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5117247
author_role author
author DANILO HOTTIS LYRA
author_facet DANILO HOTTIS LYRA
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/1120995152722477
dc.contributor.advisor1.fl_str_mv ROBERTO FRITSCHE NETO
dc.publisher.none.fl_str_mv USP ( ESCOLA SUPERIOR DE AGRICULTURA LUIZ DE QUEIROZ )
publisher.none.fl_str_mv USP ( ESCOLA SUPERIOR DE AGRICULTURA LUIZ DE QUEIROZ )
instname_str USP ( ESCOLA SUPERIOR DE AGRICULTURA LUIZ DE QUEIROZ )
dc.publisher.program.fl_str_mv AGRONOMIA
dc.description.course.none.fl_txt_mv AGRONOMIA
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESInfluence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybridsInfluence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybridsInfluence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybridsInfluence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybridsInfluence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybridsInfluence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybridsInfluence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybridsKernel Gaussiano2017doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5117247authorDANILO HOTTIS LYRAhttp://lattes.cnpq.br/1120995152722477ROBERTO FRITSCHE NETOUSP ( ESCOLA SUPERIOR DE AGRICULTURA LUIZ DE QUEIROZ )USP ( ESCOLA SUPERIOR DE AGRICULTURA LUIZ DE QUEIROZ )USP ( ESCOLA SUPERIOR DE AGRICULTURA LUIZ DE QUEIROZ )AGRONOMIAAGRONOMIAPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv LYRA, DANILO HOTTIS. Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids. 2017. Tese.
dc.identifier.citation.fl_str_mv LYRA, DANILO HOTTIS. Influence of multi-trait modeling, dominance, and populations structure in genomic prediction of maize hybrids. 2017. Tese.
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