Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo.

Detalhes bibliográficos
Autor(a) principal: COSTA, A. F.
Data de Publicação: 2016
Outros Autores: TEODORO, P. E., BHERING, L. L., LEAL, N. R., TARDIN, F. D., DAHER, R. F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1054025
Resumo: Most strawberry genotypes grown commercially in Brazil originate from breeding programs in the United States, and are therefore not adapted to the various soil and climatic conditions found in Brazil. Thus, quantifying the magnitude of genotype x environment (GE) interactions serves as a primary means for increasing average Brazilian strawberry yields, and helps provide specific recommendations for farmers on which genotypes meet high yield and phenotypic stability thresholds. The aim of this study was to use AMMI (additive main effects and multiplicative interaction) and GGE biplot (genotype main effects + genotype x environment interaction) analyses to identify high-yield, stable strawberry genotypes grown at three locations in Espírito Santo for two agricultural years. We evaluated seven strawberry genotypes (Dover, Camino Real, Ventana, Camarosa, Seascape, Diamante, and Aromas) at three locations (Domingos Martins, Iúna, and Muniz Freire) in agricultural years 2006 and 2007, totaling six study environments. Joint analysis of variance was calculated using yield data (t/ha), and AMMI and GGE biplot analysis was conducted following the detection of a significant genotypes x agricultural years x locations (G x A x L) interaction. During the two agricultural years, evaluated locations were allocated to different regions on biplot graphics using both methods, indicating distinctions among them. Based on the results obtained from the two methods used in this study to investigate the G x A x L interaction, we recommend growing the Camarosa genotype for production at the three locations assessed due to the high frequency of favorable alleles, which were expressed in all localities evaluated regardless of the agricultural year.
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spelling Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo.GenótipoMorangoMost strawberry genotypes grown commercially in Brazil originate from breeding programs in the United States, and are therefore not adapted to the various soil and climatic conditions found in Brazil. Thus, quantifying the magnitude of genotype x environment (GE) interactions serves as a primary means for increasing average Brazilian strawberry yields, and helps provide specific recommendations for farmers on which genotypes meet high yield and phenotypic stability thresholds. The aim of this study was to use AMMI (additive main effects and multiplicative interaction) and GGE biplot (genotype main effects + genotype x environment interaction) analyses to identify high-yield, stable strawberry genotypes grown at three locations in Espírito Santo for two agricultural years. We evaluated seven strawberry genotypes (Dover, Camino Real, Ventana, Camarosa, Seascape, Diamante, and Aromas) at three locations (Domingos Martins, Iúna, and Muniz Freire) in agricultural years 2006 and 2007, totaling six study environments. Joint analysis of variance was calculated using yield data (t/ha), and AMMI and GGE biplot analysis was conducted following the detection of a significant genotypes x agricultural years x locations (G x A x L) interaction. During the two agricultural years, evaluated locations were allocated to different regions on biplot graphics using both methods, indicating distinctions among them. Based on the results obtained from the two methods used in this study to investigate the G x A x L interaction, we recommend growing the Camarosa genotype for production at the three locations assessed due to the high frequency of favorable alleles, which were expressed in all localities evaluated regardless of the agricultural year.Instituto Capixaba de Pesquisa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Estadual do Norte Fluminense “Darcy Ribeiro”; FLAVIO DESSAUNE TARDIN, CNPMS; Universidade Estadual do Norte Fluminense “Darcy Ribeiro”.COSTA, A. F.TEODORO, P. E.BHERING, L. L.LEAL, N. R.TARDIN, F. D.DAHER, R. F.2016-10-03T11:11:11Z2016-10-03T11:11:11Z2016-10-0320162017-02-13T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenetics and Molecular Research, Ribeirão Preto, v. 15, n. 3, p. 1-9, 2016.http://www.alice.cnptia.embrapa.br/alice/handle/doc/105402510.4238/gmr.15038919enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T02:52:11Zoai:www.alice.cnptia.embrapa.br:doc/1054025Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T02:52:11falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T02:52:11Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo.
title Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo.
spellingShingle Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo.
COSTA, A. F.
Genótipo
Morango
title_short Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo.
title_full Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo.
title_fullStr Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo.
title_full_unstemmed Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo.
title_sort Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo.
author COSTA, A. F.
author_facet COSTA, A. F.
TEODORO, P. E.
BHERING, L. L.
LEAL, N. R.
TARDIN, F. D.
DAHER, R. F.
author_role author
author2 TEODORO, P. E.
BHERING, L. L.
LEAL, N. R.
TARDIN, F. D.
DAHER, R. F.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Instituto Capixaba de Pesquisa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Estadual do Norte Fluminense “Darcy Ribeiro”; FLAVIO DESSAUNE TARDIN, CNPMS; Universidade Estadual do Norte Fluminense “Darcy Ribeiro”.
dc.contributor.author.fl_str_mv COSTA, A. F.
TEODORO, P. E.
BHERING, L. L.
LEAL, N. R.
TARDIN, F. D.
DAHER, R. F.
dc.subject.por.fl_str_mv Genótipo
Morango
topic Genótipo
Morango
description Most strawberry genotypes grown commercially in Brazil originate from breeding programs in the United States, and are therefore not adapted to the various soil and climatic conditions found in Brazil. Thus, quantifying the magnitude of genotype x environment (GE) interactions serves as a primary means for increasing average Brazilian strawberry yields, and helps provide specific recommendations for farmers on which genotypes meet high yield and phenotypic stability thresholds. The aim of this study was to use AMMI (additive main effects and multiplicative interaction) and GGE biplot (genotype main effects + genotype x environment interaction) analyses to identify high-yield, stable strawberry genotypes grown at three locations in Espírito Santo for two agricultural years. We evaluated seven strawberry genotypes (Dover, Camino Real, Ventana, Camarosa, Seascape, Diamante, and Aromas) at three locations (Domingos Martins, Iúna, and Muniz Freire) in agricultural years 2006 and 2007, totaling six study environments. Joint analysis of variance was calculated using yield data (t/ha), and AMMI and GGE biplot analysis was conducted following the detection of a significant genotypes x agricultural years x locations (G x A x L) interaction. During the two agricultural years, evaluated locations were allocated to different regions on biplot graphics using both methods, indicating distinctions among them. Based on the results obtained from the two methods used in this study to investigate the G x A x L interaction, we recommend growing the Camarosa genotype for production at the three locations assessed due to the high frequency of favorable alleles, which were expressed in all localities evaluated regardless of the agricultural year.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-03T11:11:11Z
2016-10-03T11:11:11Z
2016-10-03
2016
2017-02-13T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Genetics and Molecular Research, Ribeirão Preto, v. 15, n. 3, p. 1-9, 2016.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1054025
10.4238/gmr.15038919
identifier_str_mv Genetics and Molecular Research, Ribeirão Preto, v. 15, n. 3, p. 1-9, 2016.
10.4238/gmr.15038919
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1054025
dc.language.iso.fl_str_mv eng
language eng
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