Predicting the genetic gain in the Brazilian white maize landrace

Detalhes bibliográficos
Autor(a) principal: Souza,Ana Raquel Ribeiro e
Data de Publicação: 2009
Outros Autores: Miranda,Glauco Vieira, Pereira,Messias Gonzaga, Souza,Leandro Vagno de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782009000100004
Resumo: The objectives of this research were to evaluate the genetic variability and predict genetic gain in the white maize landrace rescued in Barbacena, Minas Gerais, Brazil. The Brazilian maize landraces have economic and social importance for certain areas in Brazil, and research on this germplasm is very important for local food security. Three experiments were carried out with 100 half-sib progenies, in Campos dos Goytacazes, RJ, Coimbra and Barbacena, Minas Gerais, Brazil. These sites were chosen for their soil and climatic differences. An analysis of variance was significant among the progeny for all characters, indicating the presence of genetic variability between the three populations. In Campos dos Goytacazes and Coimbra, the genetic variation of the white maize landrace was responsible for most of the phenotypic variance in grain yield and can be used in selection cycles. There was no significant genetic variance in grain yield in Barbacena. For the white maize landrace it was concluded that: the characters of the component of productivity such as plant density and number of plants with kernels can produce indirect genetic gain for grain yield and are suitable for breeding; prebreeding of the maize landrace is necessary before being used directly in the elite germplasm; the population contains high genetic variability and opportunities for genetic gain; the average agronomic traits are suitable only for traditional production systems with few inputs, and polyculture; the difference between environments produces specific responses in the progeny i.e. there is a progeny x environment interaction.
id UFSM-2_827226fee591a6e6507c424b004f554f
oai_identifier_str oai:scielo:S0103-84782009000100004
network_acronym_str UFSM-2
network_name_str Ciência rural (Online)
repository_id_str
spelling Predicting the genetic gain in the Brazilian white maize landraceselectionrescuebreedingThe objectives of this research were to evaluate the genetic variability and predict genetic gain in the white maize landrace rescued in Barbacena, Minas Gerais, Brazil. The Brazilian maize landraces have economic and social importance for certain areas in Brazil, and research on this germplasm is very important for local food security. Three experiments were carried out with 100 half-sib progenies, in Campos dos Goytacazes, RJ, Coimbra and Barbacena, Minas Gerais, Brazil. These sites were chosen for their soil and climatic differences. An analysis of variance was significant among the progeny for all characters, indicating the presence of genetic variability between the three populations. In Campos dos Goytacazes and Coimbra, the genetic variation of the white maize landrace was responsible for most of the phenotypic variance in grain yield and can be used in selection cycles. There was no significant genetic variance in grain yield in Barbacena. For the white maize landrace it was concluded that: the characters of the component of productivity such as plant density and number of plants with kernels can produce indirect genetic gain for grain yield and are suitable for breeding; prebreeding of the maize landrace is necessary before being used directly in the elite germplasm; the population contains high genetic variability and opportunities for genetic gain; the average agronomic traits are suitable only for traditional production systems with few inputs, and polyculture; the difference between environments produces specific responses in the progeny i.e. there is a progeny x environment interaction.Universidade Federal de Santa Maria2009-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782009000100004Ciência Rural v.39 n.1 2009reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/S0103-84782009000100004info:eu-repo/semantics/openAccessSouza,Ana Raquel Ribeiro eMiranda,Glauco VieiraPereira,Messias GonzagaSouza,Leandro Vagno deeng2009-01-09T00:00:00ZRevista
dc.title.none.fl_str_mv Predicting the genetic gain in the Brazilian white maize landrace
title Predicting the genetic gain in the Brazilian white maize landrace
spellingShingle Predicting the genetic gain in the Brazilian white maize landrace
Souza,Ana Raquel Ribeiro e
selection
rescue
breeding
title_short Predicting the genetic gain in the Brazilian white maize landrace
title_full Predicting the genetic gain in the Brazilian white maize landrace
title_fullStr Predicting the genetic gain in the Brazilian white maize landrace
title_full_unstemmed Predicting the genetic gain in the Brazilian white maize landrace
title_sort Predicting the genetic gain in the Brazilian white maize landrace
author Souza,Ana Raquel Ribeiro e
author_facet Souza,Ana Raquel Ribeiro e
Miranda,Glauco Vieira
Pereira,Messias Gonzaga
Souza,Leandro Vagno de
author_role author
author2 Miranda,Glauco Vieira
Pereira,Messias Gonzaga
Souza,Leandro Vagno de
author2_role author
author
author
dc.contributor.author.fl_str_mv Souza,Ana Raquel Ribeiro e
Miranda,Glauco Vieira
Pereira,Messias Gonzaga
Souza,Leandro Vagno de
dc.subject.por.fl_str_mv selection
rescue
breeding
topic selection
rescue
breeding
description The objectives of this research were to evaluate the genetic variability and predict genetic gain in the white maize landrace rescued in Barbacena, Minas Gerais, Brazil. The Brazilian maize landraces have economic and social importance for certain areas in Brazil, and research on this germplasm is very important for local food security. Three experiments were carried out with 100 half-sib progenies, in Campos dos Goytacazes, RJ, Coimbra and Barbacena, Minas Gerais, Brazil. These sites were chosen for their soil and climatic differences. An analysis of variance was significant among the progeny for all characters, indicating the presence of genetic variability between the three populations. In Campos dos Goytacazes and Coimbra, the genetic variation of the white maize landrace was responsible for most of the phenotypic variance in grain yield and can be used in selection cycles. There was no significant genetic variance in grain yield in Barbacena. For the white maize landrace it was concluded that: the characters of the component of productivity such as plant density and number of plants with kernels can produce indirect genetic gain for grain yield and are suitable for breeding; prebreeding of the maize landrace is necessary before being used directly in the elite germplasm; the population contains high genetic variability and opportunities for genetic gain; the average agronomic traits are suitable only for traditional production systems with few inputs, and polyculture; the difference between environments produces specific responses in the progeny i.e. there is a progeny x environment interaction.
publishDate 2009
dc.date.none.fl_str_mv 2009-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782009000100004
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782009000100004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-84782009000100004
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.39 n.1 2009
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1749140532165083136