Consistency of two stability analysis methods in potatoes
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , , , |
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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Ciência rural (Online) |
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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 |
|
_version_ |
1749140528858923008 |