Adaptability and stability of maize hybrids in unreplicated multienvironment trials
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2018 |
| Outros Autores: | , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Revista ciência agronômica (Online) |
| Texto Completo: | http://periodicos.ufc.br/revistacienciaagronomica/article/view/84818 |
Resumo: | In maize breeding programs conducted by private companies, it is common to perform the product advanced trials (PAT) in several cultivation environments in order to better recommend the new hybrids, as well as to provide opportunities for the farmers to evaluate their products. The aim of this study was to describe the adaptability and stability of maize hybrids from unreplicated PATs using a multivariate approach combined with univariate methods. We considered the grain yield data of twelve maize hybrids evaluated in a PATs network conducted by the company DuPont Pioneer in 80 cultivation environments in the states of Minas Gerais and Goias, in second-crop of 2014. The AMMI analysis was employed and additionally we applied the methods based on bisegmented linear regression, Lin and Binns index (1988) and Annicchiarico index (1992). Significant differences were verified among the tested hybrids. The macro-environmental variation and the effect of hybrid by environment (H x E) interaction were expressive. The application of the AMMI method allowed the study of the H x E interaction based on maize PATs. Hybrids 7 and 8 are recommended for higher quality environments, while hybrids 3, 5 and 12 present wide adaptability. The Lin and Binns (1988) and Annicchiarico (1992) indexes highlight the hybrid 8 as the most promising for associating high productivity and lower risk in the tested cultivation environments. |
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Adaptability and stability of maize hybrids in unreplicated multienvironment trialsZea mays Product Advancement Trials Genotype by Environment Interaction AMMI Reliability IndexIn maize breeding programs conducted by private companies, it is common to perform the product advanced trials (PAT) in several cultivation environments in order to better recommend the new hybrids, as well as to provide opportunities for the farmers to evaluate their products. The aim of this study was to describe the adaptability and stability of maize hybrids from unreplicated PATs using a multivariate approach combined with univariate methods. We considered the grain yield data of twelve maize hybrids evaluated in a PATs network conducted by the company DuPont Pioneer in 80 cultivation environments in the states of Minas Gerais and Goias, in second-crop of 2014. The AMMI analysis was employed and additionally we applied the methods based on bisegmented linear regression, Lin and Binns index (1988) and Annicchiarico index (1992). Significant differences were verified among the tested hybrids. The macro-environmental variation and the effect of hybrid by environment (H x E) interaction were expressive. The application of the AMMI method allowed the study of the H x E interaction based on maize PATs. Hybrids 7 and 8 are recommended for higher quality environments, while hybrids 3, 5 and 12 present wide adaptability. The Lin and Binns (1988) and Annicchiarico (1992) indexes highlight the hybrid 8 as the most promising for associating high productivity and lower risk in the tested cultivation environments.Revista Ciência Agronômica2018-10-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://periodicos.ufc.br/revistacienciaagronomica/article/view/84818Revista Ciência Agronômica; v. 50 n. 1 (2019)1806-66900045-6888reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFCenghttp://periodicos.ufc.br/revistacienciaagronomica/article/view/84818/228970Santos, DiegoPereira, CarlosNunes, José AirtonLepre, Andréinfo:eu-repo/semantics/openAccess2023-03-01T05:04:34Zoai:periodicos.ufc:article/84818Revistahttps://periodicos.ufc.br/revistacienciaagronomicaPUBhttps://periodicos.ufc.br/revistacienciaagronomica/oai||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2025-03-10T10:26:58.573343Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)true |
| dc.title.none.fl_str_mv |
Adaptability and stability of maize hybrids in unreplicated multienvironment trials |
| title |
Adaptability and stability of maize hybrids in unreplicated multienvironment trials |
| spellingShingle |
Adaptability and stability of maize hybrids in unreplicated multienvironment trials Santos, Diego Zea mays Product Advancement Trials Genotype by Environment Interaction AMMI Reliability Index |
| title_short |
Adaptability and stability of maize hybrids in unreplicated multienvironment trials |
| title_full |
Adaptability and stability of maize hybrids in unreplicated multienvironment trials |
| title_fullStr |
Adaptability and stability of maize hybrids in unreplicated multienvironment trials |
| title_full_unstemmed |
Adaptability and stability of maize hybrids in unreplicated multienvironment trials |
| title_sort |
Adaptability and stability of maize hybrids in unreplicated multienvironment trials |
| author |
Santos, Diego |
| author_facet |
Santos, Diego Pereira, Carlos Nunes, José Airton Lepre, André |
| author_role |
author |
| author2 |
Pereira, Carlos Nunes, José Airton Lepre, André |
| author2_role |
author author author |
| dc.contributor.author.fl_str_mv |
Santos, Diego Pereira, Carlos Nunes, José Airton Lepre, André |
| dc.subject.por.fl_str_mv |
Zea mays Product Advancement Trials Genotype by Environment Interaction AMMI Reliability Index |
| topic |
Zea mays Product Advancement Trials Genotype by Environment Interaction AMMI Reliability Index |
| description |
In maize breeding programs conducted by private companies, it is common to perform the product advanced trials (PAT) in several cultivation environments in order to better recommend the new hybrids, as well as to provide opportunities for the farmers to evaluate their products. The aim of this study was to describe the adaptability and stability of maize hybrids from unreplicated PATs using a multivariate approach combined with univariate methods. We considered the grain yield data of twelve maize hybrids evaluated in a PATs network conducted by the company DuPont Pioneer in 80 cultivation environments in the states of Minas Gerais and Goias, in second-crop of 2014. The AMMI analysis was employed and additionally we applied the methods based on bisegmented linear regression, Lin and Binns index (1988) and Annicchiarico index (1992). Significant differences were verified among the tested hybrids. The macro-environmental variation and the effect of hybrid by environment (H x E) interaction were expressive. The application of the AMMI method allowed the study of the H x E interaction based on maize PATs. Hybrids 7 and 8 are recommended for higher quality environments, while hybrids 3, 5 and 12 present wide adaptability. The Lin and Binns (1988) and Annicchiarico (1992) indexes highlight the hybrid 8 as the most promising for associating high productivity and lower risk in the tested cultivation environments. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018-10-11 |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://periodicos.ufc.br/revistacienciaagronomica/article/view/84818 |
| url |
http://periodicos.ufc.br/revistacienciaagronomica/article/view/84818 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
http://periodicos.ufc.br/revistacienciaagronomica/article/view/84818/228970 |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Revista Ciência Agronômica |
| publisher.none.fl_str_mv |
Revista Ciência Agronômica |
| dc.source.none.fl_str_mv |
Revista Ciência Agronômica; v. 50 n. 1 (2019) 1806-6690 0045-6888 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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1853790795958583296 |