Consistency of two stability analysis methods in potatoes

Detalhes bibliográficos
Autor(a) principal: Souza,Velci Queiroz de
Data de Publicação: 2007
Outros Autores: Pereira,Arione da Silva, Silva,Giovani Olegário da, Fritsche Neto,Roberto, Oliveira,Antônio Costa de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782007000300009
Resumo: The objective of this research was to compare the consistency of the bi-segmented and AMMI (additive main effects and multiplicative interaction analysis) methods for estimating yield stability in potatoes. Data of ten genotypes evaluated in 34 environments (local, growing season and year combinations) of the Rio Grande do Sul state, Brazil, in 1994 and 1995 were used. Three data sets were analyzed: 34-environment data set and two 17-environment data subsets, which were chosen by randomly dividing the total data set. For the 34-environment data set, the models gave similar results in relation to the stable genotypes, but they differed with regard to the unstable genotypes. For the 17-environment data sets, the bi-segmented model showed more consistent results, either between subsets or between these and the total data set. For the AMMI model, only the Santo Amor genotype showed consistency between one of the subsets and the total data set. In this work, the bi-segmented method was shown to be more consistent than the AMMI model.
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spelling Consistency of two stability analysis methods in potatoesSolanum tuberosumG x E interactionAMMI modelbi-segmented methodThe objective of this research was to compare the consistency of the bi-segmented and AMMI (additive main effects and multiplicative interaction analysis) methods for estimating yield stability in potatoes. Data of ten genotypes evaluated in 34 environments (local, growing season and year combinations) of the Rio Grande do Sul state, Brazil, in 1994 and 1995 were used. Three data sets were analyzed: 34-environment data set and two 17-environment data subsets, which were chosen by randomly dividing the total data set. For the 34-environment data set, the models gave similar results in relation to the stable genotypes, but they differed with regard to the unstable genotypes. For the 17-environment data sets, the bi-segmented model showed more consistent results, either between subsets or between these and the total data set. For the AMMI model, only the Santo Amor genotype showed consistency between one of the subsets and the total data set. In this work, the bi-segmented method was shown to be more consistent than the AMMI model.Universidade Federal de Santa Maria2007-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782007000300009Ciência Rural v.37 n.3 2007reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/S0103-84782007000300009info:eu-repo/semantics/openAccessSouza,Velci Queiroz dePereira,Arione da SilvaSilva,Giovani Olegário daFritsche Neto,RobertoOliveira,Antônio Costa deeng2007-05-07T00:00:00ZRevista
dc.title.none.fl_str_mv Consistency of two stability analysis methods in potatoes
title Consistency of two stability analysis methods in potatoes
spellingShingle Consistency of two stability analysis methods in potatoes
Souza,Velci Queiroz de
Solanum tuberosum
G x E interaction
AMMI model
bi-segmented method
title_short Consistency of two stability analysis methods in potatoes
title_full Consistency of two stability analysis methods in potatoes
title_fullStr Consistency of two stability analysis methods in potatoes
title_full_unstemmed Consistency of two stability analysis methods in potatoes
title_sort Consistency of two stability analysis methods in potatoes
author Souza,Velci Queiroz de
author_facet Souza,Velci Queiroz de
Pereira,Arione da Silva
Silva,Giovani Olegário da
Fritsche Neto,Roberto
Oliveira,Antônio Costa de
author_role author
author2 Pereira,Arione da Silva
Silva,Giovani Olegário da
Fritsche Neto,Roberto
Oliveira,Antônio Costa de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Souza,Velci Queiroz de
Pereira,Arione da Silva
Silva,Giovani Olegário da
Fritsche Neto,Roberto
Oliveira,Antônio Costa de
dc.subject.por.fl_str_mv Solanum tuberosum
G x E interaction
AMMI model
bi-segmented method
topic Solanum tuberosum
G x E interaction
AMMI model
bi-segmented method
description The objective of this research was to compare the consistency of the bi-segmented and AMMI (additive main effects and multiplicative interaction analysis) methods for estimating yield stability in potatoes. Data of ten genotypes evaluated in 34 environments (local, growing season and year combinations) of the Rio Grande do Sul state, Brazil, in 1994 and 1995 were used. Three data sets were analyzed: 34-environment data set and two 17-environment data subsets, which were chosen by randomly dividing the total data set. For the 34-environment data set, the models gave similar results in relation to the stable genotypes, but they differed with regard to the unstable genotypes. For the 17-environment data sets, the bi-segmented model showed more consistent results, either between subsets or between these and the total data set. For the AMMI model, only the Santo Amor genotype showed consistency between one of the subsets and the total data set. In this work, the bi-segmented method was shown to be more consistent than the AMMI model.
publishDate 2007
dc.date.none.fl_str_mv 2007-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782007000300009
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782007000300009
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-84782007000300009
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.37 n.3 2007
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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