Effects of using phenotypic means and genotypic values in GGE biplot analyses on genotype by environment studies on tropical maize (Zea mays)

Detalhes bibliográficos
Autor(a) principal: Granato, I.S.C.
Data de Publicação: 2016
Outros Autores: Fritsche-Neto, R., Resende, M.D.V., Silva, F.F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://dx.doi.org/10.4238/gmr.15048747
http://www.locus.ufv.br/handle/123456789/12701
Resumo: The objective of this study was to examine the effects of the type and intensity of nutritional stress, and of the statistical treatment of the data, on the genotype x environment (G x E) interaction for tropical maize (Zea mays). For this purpose, 39 hybrid combinations were evaluated under low- and high-nitrogen and -phosphorus availability. The plants were harvested at the V6 stage, and the shoot dry mass was estimated. The variance components and genetic values were assessed using the restricted maximum likelihood/best linear unbiased prediction method, and subsequently analyzed using the GGE biplot method. We observed differences in the performances of the hybrids depending on both the type and intensity of nutritional stress. The results of relationship between environments depended on whether genotypic values or phenotypic means were used. The selection of tropical maize genotypes against nutritional stress should be performed for each nutrient availability level within each type of nutritional stress. The use of phenotypic means for this purpose provides greater reliability than do genotypic values for the analysis of the G x E interaction using GGE biplot.
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spelling Effects of using phenotypic means and genotypic values in GGE biplot analyses on genotype by environment studies on tropical maize (Zea mays)MaizeNitrogen-use efficiencyPhosphorous-use efficiencyMixed modelPrincipal componentThe objective of this study was to examine the effects of the type and intensity of nutritional stress, and of the statistical treatment of the data, on the genotype x environment (G x E) interaction for tropical maize (Zea mays). For this purpose, 39 hybrid combinations were evaluated under low- and high-nitrogen and -phosphorus availability. The plants were harvested at the V6 stage, and the shoot dry mass was estimated. The variance components and genetic values were assessed using the restricted maximum likelihood/best linear unbiased prediction method, and subsequently analyzed using the GGE biplot method. We observed differences in the performances of the hybrids depending on both the type and intensity of nutritional stress. The results of relationship between environments depended on whether genotypic values or phenotypic means were used. The selection of tropical maize genotypes against nutritional stress should be performed for each nutrient availability level within each type of nutritional stress. The use of phenotypic means for this purpose provides greater reliability than do genotypic values for the analysis of the G x E interaction using GGE biplot.Genetics and Molecular Biology2017-11-01T13:57:43Z2017-11-01T13:57:43Z2016-10-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf16765680http://dx.doi.org/10.4238/gmr.15048747http://www.locus.ufv.br/handle/123456789/12701engv. 15, n. 4: gmr.15048747, Oct. 2016Granato, I.S.C.Fritsche-Neto, R.Resende, M.D.V.Silva, F.F.info:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFV2024-07-12T07:22:52Zoai:locus.ufv.br:123456789/12701Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T07:22:52LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Effects of using phenotypic means and genotypic values in GGE biplot analyses on genotype by environment studies on tropical maize (Zea mays)
title Effects of using phenotypic means and genotypic values in GGE biplot analyses on genotype by environment studies on tropical maize (Zea mays)
spellingShingle Effects of using phenotypic means and genotypic values in GGE biplot analyses on genotype by environment studies on tropical maize (Zea mays)
Granato, I.S.C.
Maize
Nitrogen-use efficiency
Phosphorous-use efficiency
Mixed model
Principal component
title_short Effects of using phenotypic means and genotypic values in GGE biplot analyses on genotype by environment studies on tropical maize (Zea mays)
title_full Effects of using phenotypic means and genotypic values in GGE biplot analyses on genotype by environment studies on tropical maize (Zea mays)
title_fullStr Effects of using phenotypic means and genotypic values in GGE biplot analyses on genotype by environment studies on tropical maize (Zea mays)
title_full_unstemmed Effects of using phenotypic means and genotypic values in GGE biplot analyses on genotype by environment studies on tropical maize (Zea mays)
title_sort Effects of using phenotypic means and genotypic values in GGE biplot analyses on genotype by environment studies on tropical maize (Zea mays)
author Granato, I.S.C.
author_facet Granato, I.S.C.
Fritsche-Neto, R.
Resende, M.D.V.
Silva, F.F.
author_role author
author2 Fritsche-Neto, R.
Resende, M.D.V.
Silva, F.F.
author2_role author
author
author
dc.contributor.author.fl_str_mv Granato, I.S.C.
Fritsche-Neto, R.
Resende, M.D.V.
Silva, F.F.
dc.subject.por.fl_str_mv Maize
Nitrogen-use efficiency
Phosphorous-use efficiency
Mixed model
Principal component
topic Maize
Nitrogen-use efficiency
Phosphorous-use efficiency
Mixed model
Principal component
description The objective of this study was to examine the effects of the type and intensity of nutritional stress, and of the statistical treatment of the data, on the genotype x environment (G x E) interaction for tropical maize (Zea mays). For this purpose, 39 hybrid combinations were evaluated under low- and high-nitrogen and -phosphorus availability. The plants were harvested at the V6 stage, and the shoot dry mass was estimated. The variance components and genetic values were assessed using the restricted maximum likelihood/best linear unbiased prediction method, and subsequently analyzed using the GGE biplot method. We observed differences in the performances of the hybrids depending on both the type and intensity of nutritional stress. The results of relationship between environments depended on whether genotypic values or phenotypic means were used. The selection of tropical maize genotypes against nutritional stress should be performed for each nutrient availability level within each type of nutritional stress. The use of phenotypic means for this purpose provides greater reliability than do genotypic values for the analysis of the G x E interaction using GGE biplot.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-05
2017-11-01T13:57:43Z
2017-11-01T13:57:43Z
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 16765680
http://dx.doi.org/10.4238/gmr.15048747
http://www.locus.ufv.br/handle/123456789/12701
identifier_str_mv 16765680
url http://dx.doi.org/10.4238/gmr.15048747
http://www.locus.ufv.br/handle/123456789/12701
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv v. 15, n. 4: gmr.15048747, Oct. 2016
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv Genetics and Molecular Biology
publisher.none.fl_str_mv Genetics and Molecular Biology
dc.source.none.fl_str_mv reponame:LOCUS Repositório Institucional da UFV
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str LOCUS Repositório Institucional da UFV
collection LOCUS Repositório Institucional da UFV
repository.name.fl_str_mv LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv fabiojreis@ufv.br
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