Adaptability and stability of maize varieties using mixed model methodology

Detalhes bibliográficos
Autor(a) principal: Mendes, Flávia Ferreira
Data de Publicação: 2012
Outros Autores: Guimarães, Lauro José Moreira, Souza, João Cândido, Guimarães, Paulo Evaristo Oliveira, Pacheco, Cleso Antônio Patto, Machado, Jane Rodrigues de Assis, Meirelles, Walter Fernandes, Silva, Adelmo Resende da, Parentoni, Sidney Netto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/38025
Resumo: The objective of this study was to evaluate the performance, adaptability and stability of corn cultivars simultaneously in unbalanced experiments, using the method of harmonic means of the relative performance of genetic values. The grain yield of 45 cultivars, including hybrids and varieties, was evaluated in 49 environments in two growing seasons. In the 2007/2008 growing season, 36 cultivars were evaluated and in 2008/2009 25 cultivars, of which 16 were used in both seasons. Statistical analyses were performed based on mixed models, considering genotypes as random and replications within environments as fixed factors. The experimental precision in the combined analyses was high (accuracy estimates > 92 %). Despite the existence of genotype x environment interaction, hybrids and varieties with high adaptability and stability were identified. Results showed that the method of harmonic means of the relative performance of genetic values is a suitable method for maize breeding programs.
id UFLA_e66a9c4100c0e7b185ce985a6f3dac16
oai_identifier_str oai:localhost:1/38025
network_acronym_str UFLA
network_name_str Repositório Institucional da UFLA
repository_id_str
spelling Adaptability and stability of maize varieties using mixed model methodologyAdaptabilidade e estabilidade de cultivares de milho pelo método de modelos mistosMédia harmônica da performance relativa de valores genotípicosMixed model methodologyMaize - Genetic improvementMétodo de modelos mistosMilho - Melhoramento genéticoThe objective of this study was to evaluate the performance, adaptability and stability of corn cultivars simultaneously in unbalanced experiments, using the method of harmonic means of the relative performance of genetic values. The grain yield of 45 cultivars, including hybrids and varieties, was evaluated in 49 environments in two growing seasons. In the 2007/2008 growing season, 36 cultivars were evaluated and in 2008/2009 25 cultivars, of which 16 were used in both seasons. Statistical analyses were performed based on mixed models, considering genotypes as random and replications within environments as fixed factors. The experimental precision in the combined analyses was high (accuracy estimates > 92 %). Despite the existence of genotype x environment interaction, hybrids and varieties with high adaptability and stability were identified. Results showed that the method of harmonic means of the relative performance of genetic values is a suitable method for maize breeding programs.O objetivo deste trabalho foi avaliar, simultaneamente, o desempenho produtivo, a adaptabilidade e a estabilidade de cultivares de milho, em ensaios desbalanceados, utilizando-se o método da Média Harmônica da Performance Relativa de Valores Genotípicos (MHPRVG). A produtividade de grãos de 45 cultivares, compreendendo híbridos e variedades, foi avaliada em 49 ambientes, em dois anos agrícolas. Na safra de 2007/2008 foram avaliados 36 cultivares e na safra seguinte, 25 cultivares, sendo 16 cultivares comuns às duas safras. Foram realizadas análises estatísticas no contexto de modelos mistos considerando genótipos como aleatórios e repetições dentro de ambientes como fatores fixos. Houve alta precisão experimental nas análises conjuntas, com estimativas de acurácia superiores a 92 %. Apesar da existência de interação genótipos x ambientes, foram identificados híbridos e variedades com elevada adaptabilidade e estabilidade. Os resultados demonstram que o método MHPRVG mostra-se adequado para utilização em programas de melhoramento de milho.Brazilian Society of Plant Breeding2019-12-06T10:22:02Z2019-12-06T10:22:02Z2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMENDES, F. F. et al. Adaptability and stability of maize varieties using mixed model methodology. Crop Breeding and Applied Biotechnology, Viçosa, MG, v. 12, n. 2, p. 111-117, 2012.http://repositorio.ufla.br/jspui/handle/1/38025Crop Breeding and Applied Biotechnologyreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessMendes, Flávia FerreiraGuimarães, Lauro José MoreiraSouza, João CândidoGuimarães, Paulo Evaristo OliveiraPacheco, Cleso Antônio PattoMachado, Jane Rodrigues de AssisMeirelles, Walter FernandesSilva, Adelmo Resende daParentoni, Sidney Nettoeng2019-12-06T10:22:02Zoai:localhost:1/38025Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2019-12-06T10:22:02Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Adaptability and stability of maize varieties using mixed model methodology
Adaptabilidade e estabilidade de cultivares de milho pelo método de modelos mistos
title Adaptability and stability of maize varieties using mixed model methodology
spellingShingle Adaptability and stability of maize varieties using mixed model methodology
Mendes, Flávia Ferreira
Média harmônica da performance relativa de valores genotípicos
Mixed model methodology
Maize - Genetic improvement
Método de modelos mistos
Milho - Melhoramento genético
title_short Adaptability and stability of maize varieties using mixed model methodology
title_full Adaptability and stability of maize varieties using mixed model methodology
title_fullStr Adaptability and stability of maize varieties using mixed model methodology
title_full_unstemmed Adaptability and stability of maize varieties using mixed model methodology
title_sort Adaptability and stability of maize varieties using mixed model methodology
author Mendes, Flávia Ferreira
author_facet Mendes, Flávia Ferreira
Guimarães, Lauro José Moreira
Souza, João Cândido
Guimarães, Paulo Evaristo Oliveira
Pacheco, Cleso Antônio Patto
Machado, Jane Rodrigues de Assis
Meirelles, Walter Fernandes
Silva, Adelmo Resende da
Parentoni, Sidney Netto
author_role author
author2 Guimarães, Lauro José Moreira
Souza, João Cândido
Guimarães, Paulo Evaristo Oliveira
Pacheco, Cleso Antônio Patto
Machado, Jane Rodrigues de Assis
Meirelles, Walter Fernandes
Silva, Adelmo Resende da
Parentoni, Sidney Netto
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Mendes, Flávia Ferreira
Guimarães, Lauro José Moreira
Souza, João Cândido
Guimarães, Paulo Evaristo Oliveira
Pacheco, Cleso Antônio Patto
Machado, Jane Rodrigues de Assis
Meirelles, Walter Fernandes
Silva, Adelmo Resende da
Parentoni, Sidney Netto
dc.subject.por.fl_str_mv Média harmônica da performance relativa de valores genotípicos
Mixed model methodology
Maize - Genetic improvement
Método de modelos mistos
Milho - Melhoramento genético
topic Média harmônica da performance relativa de valores genotípicos
Mixed model methodology
Maize - Genetic improvement
Método de modelos mistos
Milho - Melhoramento genético
description The objective of this study was to evaluate the performance, adaptability and stability of corn cultivars simultaneously in unbalanced experiments, using the method of harmonic means of the relative performance of genetic values. The grain yield of 45 cultivars, including hybrids and varieties, was evaluated in 49 environments in two growing seasons. In the 2007/2008 growing season, 36 cultivars were evaluated and in 2008/2009 25 cultivars, of which 16 were used in both seasons. Statistical analyses were performed based on mixed models, considering genotypes as random and replications within environments as fixed factors. The experimental precision in the combined analyses was high (accuracy estimates > 92 %). Despite the existence of genotype x environment interaction, hybrids and varieties with high adaptability and stability were identified. Results showed that the method of harmonic means of the relative performance of genetic values is a suitable method for maize breeding programs.
publishDate 2012
dc.date.none.fl_str_mv 2012
2019-12-06T10:22:02Z
2019-12-06T10:22:02Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv MENDES, F. F. et al. Adaptability and stability of maize varieties using mixed model methodology. Crop Breeding and Applied Biotechnology, Viçosa, MG, v. 12, n. 2, p. 111-117, 2012.
http://repositorio.ufla.br/jspui/handle/1/38025
identifier_str_mv MENDES, F. F. et al. Adaptability and stability of maize varieties using mixed model methodology. Crop Breeding and Applied Biotechnology, Viçosa, MG, v. 12, n. 2, p. 111-117, 2012.
url http://repositorio.ufla.br/jspui/handle/1/38025
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brazilian Society of Plant Breeding
publisher.none.fl_str_mv Brazilian Society of Plant Breeding
dc.source.none.fl_str_mv Crop Breeding and Applied Biotechnology
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1823242198331686912

Registros relacionados