Identification of populations and hybrid combinations of maize for in natura consumption

Detalhes bibliográficos
Autor(a) principal: Rocha,Daniel Sarto
Data de Publicação: 2019
Outros Autores: Rovaris,Sara Regina Silvestrin, Rodrigues,Cinthia Souza, Ticelli,Marcelo, Sawazaki,Eduardo, Paterniani,Maria Elisa Ayres Guidetti Zagatto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000400535
Resumo: ABSTRACT Brazil is one of the leading countries in the production of maize (Zea mays), with great potential for growing green maize, which has a superior commercial value in relation to maize marketed in the form of grains. Although important, the availability of cultivars recommended for the production of green maizeis still very scarce. The objectives of the present study were to estimate genetic parameters and to identify promising hybrid combinations for the development of new green maize cultivars to farmers. In the summer crop of 2016/17, ten hybrid combinations obtained through a complete diallel of five maize populations, with attributes for in natura consumption, were evaluated in two sites of the state of São Paulo, Brazil: the Instituto Agronômico(IAC) in Campinas and Tatuí. A randomized block design was used with two additional checks, with three replications, in plots with four five-meter rows spaced by 0.9 m in Campinas and 0.8 m in Tatuí, with 5 plants per meter. The following agronomic traits were assessed: grain yield, ear yield with straw and ear yield without straw, using Griffing’s method 4. Significant effects of genotypes, environments and interaction genotypes × environments were detected for all traits. Estimates of the general combining ability led to the selection of populations P2, P4, and P5 as the ones with a higher concentration of favorable alleles for the characters evaluated. Estimates of specific combining ability and improved grain yield performance allowed P2xP3 to be selected as the most promising for production of green maize.
id IAC-1_418a94ba0e7f5904677639cc3a532655
oai_identifier_str oai:scielo:S0006-87052019000400535
network_acronym_str IAC-1
network_name_str Bragantia
repository_id_str
spelling Identification of populations and hybrid combinations of maize for in natura consumptionZea maysdiallelgreen maizespecial cornsgene effectsABSTRACT Brazil is one of the leading countries in the production of maize (Zea mays), with great potential for growing green maize, which has a superior commercial value in relation to maize marketed in the form of grains. Although important, the availability of cultivars recommended for the production of green maizeis still very scarce. The objectives of the present study were to estimate genetic parameters and to identify promising hybrid combinations for the development of new green maize cultivars to farmers. In the summer crop of 2016/17, ten hybrid combinations obtained through a complete diallel of five maize populations, with attributes for in natura consumption, were evaluated in two sites of the state of São Paulo, Brazil: the Instituto Agronômico(IAC) in Campinas and Tatuí. A randomized block design was used with two additional checks, with three replications, in plots with four five-meter rows spaced by 0.9 m in Campinas and 0.8 m in Tatuí, with 5 plants per meter. The following agronomic traits were assessed: grain yield, ear yield with straw and ear yield without straw, using Griffing’s method 4. Significant effects of genotypes, environments and interaction genotypes × environments were detected for all traits. Estimates of the general combining ability led to the selection of populations P2, P4, and P5 as the ones with a higher concentration of favorable alleles for the characters evaluated. Estimates of specific combining ability and improved grain yield performance allowed P2xP3 to be selected as the most promising for production of green maize.Instituto Agronômico de Campinas2019-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000400535Bragantia v.78 n.4 2019reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.20190064info:eu-repo/semantics/openAccessRocha,Daniel SartoRovaris,Sara Regina SilvestrinRodrigues,Cinthia SouzaTicelli,MarceloSawazaki,EduardoPaterniani,Maria Elisa Ayres Guidetti Zagattoeng2019-12-09T00:00:00Zoai:scielo:S0006-87052019000400535Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2019-12-09T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Identification of populations and hybrid combinations of maize for in natura consumption
title Identification of populations and hybrid combinations of maize for in natura consumption
spellingShingle Identification of populations and hybrid combinations of maize for in natura consumption
Rocha,Daniel Sarto
Zea mays
diallel
green maize
special corns
gene effects
title_short Identification of populations and hybrid combinations of maize for in natura consumption
title_full Identification of populations and hybrid combinations of maize for in natura consumption
title_fullStr Identification of populations and hybrid combinations of maize for in natura consumption
title_full_unstemmed Identification of populations and hybrid combinations of maize for in natura consumption
title_sort Identification of populations and hybrid combinations of maize for in natura consumption
author Rocha,Daniel Sarto
author_facet Rocha,Daniel Sarto
Rovaris,Sara Regina Silvestrin
Rodrigues,Cinthia Souza
Ticelli,Marcelo
Sawazaki,Eduardo
Paterniani,Maria Elisa Ayres Guidetti Zagatto
author_role author
author2 Rovaris,Sara Regina Silvestrin
Rodrigues,Cinthia Souza
Ticelli,Marcelo
Sawazaki,Eduardo
Paterniani,Maria Elisa Ayres Guidetti Zagatto
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Rocha,Daniel Sarto
Rovaris,Sara Regina Silvestrin
Rodrigues,Cinthia Souza
Ticelli,Marcelo
Sawazaki,Eduardo
Paterniani,Maria Elisa Ayres Guidetti Zagatto
dc.subject.por.fl_str_mv Zea mays
diallel
green maize
special corns
gene effects
topic Zea mays
diallel
green maize
special corns
gene effects
description ABSTRACT Brazil is one of the leading countries in the production of maize (Zea mays), with great potential for growing green maize, which has a superior commercial value in relation to maize marketed in the form of grains. Although important, the availability of cultivars recommended for the production of green maizeis still very scarce. The objectives of the present study were to estimate genetic parameters and to identify promising hybrid combinations for the development of new green maize cultivars to farmers. In the summer crop of 2016/17, ten hybrid combinations obtained through a complete diallel of five maize populations, with attributes for in natura consumption, were evaluated in two sites of the state of São Paulo, Brazil: the Instituto Agronômico(IAC) in Campinas and Tatuí. A randomized block design was used with two additional checks, with three replications, in plots with four five-meter rows spaced by 0.9 m in Campinas and 0.8 m in Tatuí, with 5 plants per meter. The following agronomic traits were assessed: grain yield, ear yield with straw and ear yield without straw, using Griffing’s method 4. Significant effects of genotypes, environments and interaction genotypes × environments were detected for all traits. Estimates of the general combining ability led to the selection of populations P2, P4, and P5 as the ones with a higher concentration of favorable alleles for the characters evaluated. Estimates of specific combining ability and improved grain yield performance allowed P2xP3 to be selected as the most promising for production of green maize.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-01
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=S0006-87052019000400535
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000400535
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4499.20190064
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 Instituto Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv Bragantia v.78 n.4 2019
reponame:Bragantia
instname:Instituto Agronômico de Campinas (IAC)
instacron:IAC
instname_str Instituto Agronômico de Campinas (IAC)
instacron_str IAC
institution IAC
reponame_str Bragantia
collection Bragantia
repository.name.fl_str_mv Bragantia - Instituto Agronômico de Campinas (IAC)
repository.mail.fl_str_mv bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br
_version_ 1754193307299217408