GGE biplot analysis of maize genotypes under different forms of fertilization in family farming system

Detalhes bibliográficos
Autor(a) principal: Pagliosa, Eduardo Stefani
Data de Publicação: 2015
Outros Autores: Carpentieri-Pípolo, Valéria, Zucareli, Claudemir, Zago, Valquíria Sheila
Tipo de documento: Artigo
Idioma: por
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/16251
Resumo: Genotype x environment interaction greatly influences the selection of genotypes and the crop system should take into account the response of genotype to the employee management. The aim of this experiment was to evaluate the genotype x environment interaction by GGE biplot analysis of four maize varieties (landrace, improved variety and commercial hybrid) in response to fertilization treatments (organic and chemical) under different environments. The experimental was in a 5x4x3 factorial randomized block design with four replications, with the combination of factors: five environments (Imbaú in 2006/2007; Alvorada do Sul in 2008/2009, and Londrina in 2007/2008, 2008/2009 and 2009/2010), four maize genotypes (Caiano, Azteca, DKB 390 and IPR 114) and three types of fertilization (without fertilizer, organic and chemical fertilizer). Considering the yield to Alvorada do Sul hybrid DKB 390 in cultivation with poultry litter is an alternative for small farmers. To Londrina using IPR 114 provides greater productivity for smallholders, however growers should use Azteca for Imbaú. The evaluation of the effects of genotype x environment interaction based on GGE Biplot analysis enabled us to identify behavior through promising and stable genotypic varieties as well as environments that optimize the performance of varieties, being a recommended method to improve the efficiency of the identification of genotypes for specific environments. 
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spelling GGE biplot analysis of maize genotypes under different forms of fertilization in family farming systemAnálise GGE biplot de genótipos de milho sob diferentes formas de adubação em sistema de agricultura familiarZea maysOrganic fertilizerGenotype x environment interaction.Zea maysAdubação orgânicaInteração genótipo x ambiente.FitotecniaGenotype x environment interaction greatly influences the selection of genotypes and the crop system should take into account the response of genotype to the employee management. The aim of this experiment was to evaluate the genotype x environment interaction by GGE biplot analysis of four maize varieties (landrace, improved variety and commercial hybrid) in response to fertilization treatments (organic and chemical) under different environments. The experimental was in a 5x4x3 factorial randomized block design with four replications, with the combination of factors: five environments (Imbaú in 2006/2007; Alvorada do Sul in 2008/2009, and Londrina in 2007/2008, 2008/2009 and 2009/2010), four maize genotypes (Caiano, Azteca, DKB 390 and IPR 114) and three types of fertilization (without fertilizer, organic and chemical fertilizer). Considering the yield to Alvorada do Sul hybrid DKB 390 in cultivation with poultry litter is an alternative for small farmers. To Londrina using IPR 114 provides greater productivity for smallholders, however growers should use Azteca for Imbaú. The evaluation of the effects of genotype x environment interaction based on GGE Biplot analysis enabled us to identify behavior through promising and stable genotypic varieties as well as environments that optimize the performance of varieties, being a recommended method to improve the efficiency of the identification of genotypes for specific environments.  A interação genótipo x ambiente influencia grandemente a seleção de genótipos e o sistema de cultivo adotado deve levar em consideração a resposta do genótipo ao manejo empregado. O objetivo deste trabalho foi avaliar a interação genótipo x ambiente através da análise GGE biplot de quatro genótipos de milho (duas variedades crioulas, uma variedade melhorada e um híbrido comercial) em resposta a formas de adubação (orgânica e química) sob diferentes ambientes. O delineamento experimental foi de blocos ao acaso em esquema fatorial 5x4x3, com quatro repetições, com a combinação dos fatores: cinco ambientes (Imbaú em 2006/2007; Alvorada do Sul em 2008/2009; e Londrina em 2007/2008, 2008/2009 e 2009/2010); quatro genótipos de milho (Caiano, Asteca, DKB 390 e IPR 114); e três formas de adubações (sem adubação, adubação orgânica e adubação química). Considerando o rendimento para Alvorada do Sul, o híbrido DKB 390 em cultivo com cama de frango é uma alternativa para pequenos produtores visando maiores produtividades. Para Londrina, a utilização de IPR 114 propicia maior produtividade, no sistema testado, entretanto para Imbaú deve-se utilizar Asteca. A avaliação dos efeitos da interação genótipo x ambiente baseada na análise GGE Biplot possibilitou identificar através do comportamento genotípico as variedades promissoras e estáveis, bem como os ambientes que otimizam o desempenho das variedades, sendo um método recomendado para melhorar a eficiência da identificação de genótipos em ambientes específicos. UEL2015-10-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/1625110.5433/1679-0359.2015v36n5p2965Semina: Ciências Agrárias; Vol. 36 No. 5 (2015); 2965-2976Semina: Ciências Agrárias; v. 36 n. 5 (2015); 2965-29761679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELporhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/16251/17147http://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessPagliosa, Eduardo StefaniCarpentieri-Pípolo, ValériaZucareli, ClaudemirZago, Valquíria Sheila2023-01-12T12:59:35Zoai:ojs.pkp.sfu.ca:article/16251Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2023-01-12T12:59:35Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv GGE biplot analysis of maize genotypes under different forms of fertilization in family farming system
Análise GGE biplot de genótipos de milho sob diferentes formas de adubação em sistema de agricultura familiar
title GGE biplot analysis of maize genotypes under different forms of fertilization in family farming system
spellingShingle GGE biplot analysis of maize genotypes under different forms of fertilization in family farming system
Pagliosa, Eduardo Stefani
Zea mays
Organic fertilizer
Genotype x environment interaction.
Zea mays
Adubação orgânica
Interação genótipo x ambiente.
Fitotecnia
title_short GGE biplot analysis of maize genotypes under different forms of fertilization in family farming system
title_full GGE biplot analysis of maize genotypes under different forms of fertilization in family farming system
title_fullStr GGE biplot analysis of maize genotypes under different forms of fertilization in family farming system
title_full_unstemmed GGE biplot analysis of maize genotypes under different forms of fertilization in family farming system
title_sort GGE biplot analysis of maize genotypes under different forms of fertilization in family farming system
author Pagliosa, Eduardo Stefani
author_facet Pagliosa, Eduardo Stefani
Carpentieri-Pípolo, Valéria
Zucareli, Claudemir
Zago, Valquíria Sheila
author_role author
author2 Carpentieri-Pípolo, Valéria
Zucareli, Claudemir
Zago, Valquíria Sheila
author2_role author
author
author
dc.contributor.author.fl_str_mv Pagliosa, Eduardo Stefani
Carpentieri-Pípolo, Valéria
Zucareli, Claudemir
Zago, Valquíria Sheila
dc.subject.por.fl_str_mv Zea mays
Organic fertilizer
Genotype x environment interaction.
Zea mays
Adubação orgânica
Interação genótipo x ambiente.
Fitotecnia
topic Zea mays
Organic fertilizer
Genotype x environment interaction.
Zea mays
Adubação orgânica
Interação genótipo x ambiente.
Fitotecnia
description Genotype x environment interaction greatly influences the selection of genotypes and the crop system should take into account the response of genotype to the employee management. The aim of this experiment was to evaluate the genotype x environment interaction by GGE biplot analysis of four maize varieties (landrace, improved variety and commercial hybrid) in response to fertilization treatments (organic and chemical) under different environments. The experimental was in a 5x4x3 factorial randomized block design with four replications, with the combination of factors: five environments (Imbaú in 2006/2007; Alvorada do Sul in 2008/2009, and Londrina in 2007/2008, 2008/2009 and 2009/2010), four maize genotypes (Caiano, Azteca, DKB 390 and IPR 114) and three types of fertilization (without fertilizer, organic and chemical fertilizer). Considering the yield to Alvorada do Sul hybrid DKB 390 in cultivation with poultry litter is an alternative for small farmers. To Londrina using IPR 114 provides greater productivity for smallholders, however growers should use Azteca for Imbaú. The evaluation of the effects of genotype x environment interaction based on GGE Biplot analysis enabled us to identify behavior through promising and stable genotypic varieties as well as environments that optimize the performance of varieties, being a recommended method to improve the efficiency of the identification of genotypes for specific environments. 
publishDate 2015
dc.date.none.fl_str_mv 2015-10-21
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 https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/16251
10.5433/1679-0359.2015v36n5p2965
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/16251
identifier_str_mv 10.5433/1679-0359.2015v36n5p2965
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/16251/17147
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 36 No. 5 (2015); 2965-2976
Semina: Ciências Agrárias; v. 36 n. 5 (2015); 2965-2976
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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