Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista ciência agronômica (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902017000200347 |
Resumo: | ABSTRACT The aim of this study was to evaluate the adaptability and stability of 29 commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil, employing three methods. The 29 commercial maize hybrids from the 2014/2015 crop were evaluated for grain yield in five locations in the southeast of Minas Gerais. A randomised-block design was used, with two replications. Each lot comprised two rows, five meters in length, at a spacing of 0.80 m, giving an effective area of 8.00 m2. In addition to individual and combined variance analysis, the methods of Eberhart & Russell (1966), AMMI (Additive Main Effects and Multiplicative Interaction Analysis) and mixed models were used to evaluate the adaptability and stability of the 29 hybrids. There was a significant difference (P<0.01) for the effects of hybrid, environment and the hybrid x environment interaction. The majority of the hybrids under evaluation displayed broad adaptability with good stability. It was concluded that the Eberhart & Russell, AMMI and mixed-model methods show similar results in classifying maize hybrids of broad adaptability. There is a difference in indicating hybrids with specific adaptability to favourable and unfavourable environments. Based on the three methods, the hybrids SHS7920PRO, BM709PRO2, BRS1055 and BM650PRO2 show a general adaptability for the environments under evaluation. |
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Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Gerais, BrazilZea mays LGenotype x environment interactionHybrid recommendationABSTRACT The aim of this study was to evaluate the adaptability and stability of 29 commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil, employing three methods. The 29 commercial maize hybrids from the 2014/2015 crop were evaluated for grain yield in five locations in the southeast of Minas Gerais. A randomised-block design was used, with two replications. Each lot comprised two rows, five meters in length, at a spacing of 0.80 m, giving an effective area of 8.00 m2. In addition to individual and combined variance analysis, the methods of Eberhart & Russell (1966), AMMI (Additive Main Effects and Multiplicative Interaction Analysis) and mixed models were used to evaluate the adaptability and stability of the 29 hybrids. There was a significant difference (P<0.01) for the effects of hybrid, environment and the hybrid x environment interaction. The majority of the hybrids under evaluation displayed broad adaptability with good stability. It was concluded that the Eberhart & Russell, AMMI and mixed-model methods show similar results in classifying maize hybrids of broad adaptability. There is a difference in indicating hybrids with specific adaptability to favourable and unfavourable environments. Based on the three methods, the hybrids SHS7920PRO, BM709PRO2, BRS1055 and BM650PRO2 show a general adaptability for the environments under evaluation.Universidade Federal do Ceará2017-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902017000200347Revista Ciência Agronômica v.48 n.2 2017reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20170040info:eu-repo/semantics/openAccessFaria,Sirlene VianaLuz,Luiz SilvaRodrigues,Mateus CupertinoCarneiro,José Eustáquio de SouzaCarneiro,Pedro Crescêncio SouzaDeLima,Rodrigo Oliveiraeng2017-02-03T00:00:00Zoai:scielo:S1806-66902017000200347Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2017-02-03T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil |
title |
Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil |
spellingShingle |
Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil Faria,Sirlene Viana Zea mays L Genotype x environment interaction Hybrid recommendation |
title_short |
Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil |
title_full |
Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil |
title_fullStr |
Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil |
title_full_unstemmed |
Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil |
title_sort |
Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil |
author |
Faria,Sirlene Viana |
author_facet |
Faria,Sirlene Viana Luz,Luiz Silva Rodrigues,Mateus Cupertino Carneiro,José Eustáquio de Souza Carneiro,Pedro Crescêncio Souza DeLima,Rodrigo Oliveira |
author_role |
author |
author2 |
Luz,Luiz Silva Rodrigues,Mateus Cupertino Carneiro,José Eustáquio de Souza Carneiro,Pedro Crescêncio Souza DeLima,Rodrigo Oliveira |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Faria,Sirlene Viana Luz,Luiz Silva Rodrigues,Mateus Cupertino Carneiro,José Eustáquio de Souza Carneiro,Pedro Crescêncio Souza DeLima,Rodrigo Oliveira |
dc.subject.por.fl_str_mv |
Zea mays L Genotype x environment interaction Hybrid recommendation |
topic |
Zea mays L Genotype x environment interaction Hybrid recommendation |
description |
ABSTRACT The aim of this study was to evaluate the adaptability and stability of 29 commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil, employing three methods. The 29 commercial maize hybrids from the 2014/2015 crop were evaluated for grain yield in five locations in the southeast of Minas Gerais. A randomised-block design was used, with two replications. Each lot comprised two rows, five meters in length, at a spacing of 0.80 m, giving an effective area of 8.00 m2. In addition to individual and combined variance analysis, the methods of Eberhart & Russell (1966), AMMI (Additive Main Effects and Multiplicative Interaction Analysis) and mixed models were used to evaluate the adaptability and stability of the 29 hybrids. There was a significant difference (P<0.01) for the effects of hybrid, environment and the hybrid x environment interaction. The majority of the hybrids under evaluation displayed broad adaptability with good stability. It was concluded that the Eberhart & Russell, AMMI and mixed-model methods show similar results in classifying maize hybrids of broad adaptability. There is a difference in indicating hybrids with specific adaptability to favourable and unfavourable environments. Based on the three methods, the hybrids SHS7920PRO, BM709PRO2, BRS1055 and BM650PRO2 show a general adaptability for the environments under evaluation. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-06-01 |
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=S1806-66902017000200347 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902017000200347 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5935/1806-6690.20170040 |
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 do Ceará |
publisher.none.fl_str_mv |
Universidade Federal do Ceará |
dc.source.none.fl_str_mv |
Revista Ciência Agronômica v.48 n.2 2017 reponame:Revista ciência agronômica (Online) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Revista ciência agronômica (Online) |
collection |
Revista ciência agronômica (Online) |
repository.name.fl_str_mv |
Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
||alekdutra@ufc.br|| ccarev@ufc.br |
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1750297488583032832 |