Correlations between agronomic traits and path analysis for silage production in maize hybrids

Detalhes bibliográficos
Autor(a) principal: Crevelari,Jocarla Ambrosim
Data de Publicação: 2018
Outros Autores: Durães,Nayara Norrene Lacerda, Bendia,Laila Cecília Ramos, Vettorazzi,Julio Cesar Fiorio, Entringer,Geovana Cremonini, Ferreira Júnior,José Arantes, Pereira,Messias Gonzaga
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018000200243
Resumo: ABSTRACT The aim of the current study is to estimate the correlation coefficients and the consequence of genotypic correlations on direct and indirect effects through path analysis between agronomic traits of maize hybrids used for silage production. Eight (8) topcross hybrids and seven (7) checks were analyzed in completely randomized blocks, with six replications, in two environments: Campos do Goytacazes and Itaocara counties – Rio de Janeiro State, in the crop year 2015/2016. The following agronomic traits were assessed: plant height, first ear height, culm diameter, number of ears, ear yield with straw at silage maturity, ear yield without straw at silage maturity, grain yield at silage maturity, grains ratio in the fresh matter and fresh matter yield. The highest correlation estimates were found between the variables ear yield without straw and grain yield, and between ear yield with straw and ear yield without straw, with magnitudes 0.95 and 0.92, respectively. The coefficient of determination was high, which indicates that the assessed components explain most of the existing variation in fresh matter yield. According to the path analysis, the trait showing the strongest direct effect on fresh matter yield was the ear yield with straw at silage maturity, in association with the high correlation (r = 0.91), which showed the possibility of achieving significant gains through indirect selection.
id IAC-1_5432183fe292baf298259923209115c5
oai_identifier_str oai:scielo:S0006-87052018000200243
network_acronym_str IAC-1
network_name_str Bragantia
repository_id_str
spelling Correlations between agronomic traits and path analysis for silage production in maize hybridszea mays L.topcrosstestermulticollinearityABSTRACT The aim of the current study is to estimate the correlation coefficients and the consequence of genotypic correlations on direct and indirect effects through path analysis between agronomic traits of maize hybrids used for silage production. Eight (8) topcross hybrids and seven (7) checks were analyzed in completely randomized blocks, with six replications, in two environments: Campos do Goytacazes and Itaocara counties – Rio de Janeiro State, in the crop year 2015/2016. The following agronomic traits were assessed: plant height, first ear height, culm diameter, number of ears, ear yield with straw at silage maturity, ear yield without straw at silage maturity, grain yield at silage maturity, grains ratio in the fresh matter and fresh matter yield. The highest correlation estimates were found between the variables ear yield without straw and grain yield, and between ear yield with straw and ear yield without straw, with magnitudes 0.95 and 0.92, respectively. The coefficient of determination was high, which indicates that the assessed components explain most of the existing variation in fresh matter yield. According to the path analysis, the trait showing the strongest direct effect on fresh matter yield was the ear yield with straw at silage maturity, in association with the high correlation (r = 0.91), which showed the possibility of achieving significant gains through indirect selection.Instituto Agronômico de Campinas2018-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018000200243Bragantia v.77 n.2 2018reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.2016512info:eu-repo/semantics/openAccessCrevelari,Jocarla AmbrosimDurães,Nayara Norrene LacerdaBendia,Laila Cecília RamosVettorazzi,Julio Cesar FiorioEntringer,Geovana CremoniniFerreira Júnior,José ArantesPereira,Messias Gonzagaeng2019-05-16T00:00:00Zoai:scielo:S0006-87052018000200243Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2019-05-16T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Correlations between agronomic traits and path analysis for silage production in maize hybrids
title Correlations between agronomic traits and path analysis for silage production in maize hybrids
spellingShingle Correlations between agronomic traits and path analysis for silage production in maize hybrids
Crevelari,Jocarla Ambrosim
zea mays L.
topcross
tester
multicollinearity
title_short Correlations between agronomic traits and path analysis for silage production in maize hybrids
title_full Correlations between agronomic traits and path analysis for silage production in maize hybrids
title_fullStr Correlations between agronomic traits and path analysis for silage production in maize hybrids
title_full_unstemmed Correlations between agronomic traits and path analysis for silage production in maize hybrids
title_sort Correlations between agronomic traits and path analysis for silage production in maize hybrids
author Crevelari,Jocarla Ambrosim
author_facet Crevelari,Jocarla Ambrosim
Durães,Nayara Norrene Lacerda
Bendia,Laila Cecília Ramos
Vettorazzi,Julio Cesar Fiorio
Entringer,Geovana Cremonini
Ferreira Júnior,José Arantes
Pereira,Messias Gonzaga
author_role author
author2 Durães,Nayara Norrene Lacerda
Bendia,Laila Cecília Ramos
Vettorazzi,Julio Cesar Fiorio
Entringer,Geovana Cremonini
Ferreira Júnior,José Arantes
Pereira,Messias Gonzaga
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Crevelari,Jocarla Ambrosim
Durães,Nayara Norrene Lacerda
Bendia,Laila Cecília Ramos
Vettorazzi,Julio Cesar Fiorio
Entringer,Geovana Cremonini
Ferreira Júnior,José Arantes
Pereira,Messias Gonzaga
dc.subject.por.fl_str_mv zea mays L.
topcross
tester
multicollinearity
topic zea mays L.
topcross
tester
multicollinearity
description ABSTRACT The aim of the current study is to estimate the correlation coefficients and the consequence of genotypic correlations on direct and indirect effects through path analysis between agronomic traits of maize hybrids used for silage production. Eight (8) topcross hybrids and seven (7) checks were analyzed in completely randomized blocks, with six replications, in two environments: Campos do Goytacazes and Itaocara counties – Rio de Janeiro State, in the crop year 2015/2016. The following agronomic traits were assessed: plant height, first ear height, culm diameter, number of ears, ear yield with straw at silage maturity, ear yield without straw at silage maturity, grain yield at silage maturity, grains ratio in the fresh matter and fresh matter yield. The highest correlation estimates were found between the variables ear yield without straw and grain yield, and between ear yield with straw and ear yield without straw, with magnitudes 0.95 and 0.92, respectively. The coefficient of determination was high, which indicates that the assessed components explain most of the existing variation in fresh matter yield. According to the path analysis, the trait showing the strongest direct effect on fresh matter yield was the ear yield with straw at silage maturity, in association with the high correlation (r = 0.91), which showed the possibility of achieving significant gains through indirect selection.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-01
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=S0006-87052018000200243
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018000200243
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4499.2016512
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.77 n.2 2018
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_ 1754193306354450432