Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo.
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , |
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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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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503426451701760 |