Association among stability measurements in rubber tree traits

Detalhes bibliográficos
Autor(a) principal: Lima Gouvea, Ligia Regina
Data de Publicação: 2016
Outros Autores: Peres Silva, Guilherme Augusto, Teixeira de Moraes, Mario Luis [UNESP], Scaloppi-Junior, Erivaldo Jose, Freitas, Rogerio Soares de, Goncalves, Paulo de Souza
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.indcrop.2015.11.047
http://hdl.handle.net/11449/158703
Resumo: The simultaneous use of different methods of stability analysis is becoming more widely used in the selection of genotypes in breeding programs. Knowing how these different methods are associated can contribute to a more efficient selection. The objective of the present study was to assess association among different methods of stability analysis in the rubber tree [Hevea brasiliensis (Willd. ex Adr. de Juss.) Muell.-Arg.], using different traits and different groups of genotypes for the same trait. Two open pollinated progeny populations (POP1 and POP2) and a group of clones (Group 1) were analyzed. POP1 contained 22 progeny, assessed in the municipalities of Pindorama, Votuporanga and jab, Sao Paulo state, Brazil. POP2 included 30 progeny assessed in Selviria, Mato Grosso do Sul state, Votuporanga and Colina, Sao Paulo state, Brazil. Group 1 consisted of 25 clones assessed in Votuporanga. The following traits were assessed in POP1: girth, rubber yield, bark thickness and number of latex vessel rings. Rubber yield was assessed in POP2 and Group 1 clones. The following methods of stability analysis were used: Wricke; Eberhart and Russell; Lin and Binns; AMMI (Principal Additive Effect and Multiplicative Interaction) and HMRPGV (Harmonic Mean of the Relative Performance of the Genetic Values) predicted by Blup (Best Linear Unbiased Prediction). The Spearman correlation was used to verify the association between the stability parameters. Three scenarios were observed; in the first, some parameters did not show significant association in any of the analyses: Eberhart and Russell with Lin and Binns; Eberhart and Russell with HMRPGV; Wricke with HMRPGV; AMMI with Lin and Binns and AMMI with HMRPGV. In the second, some parameters showed significant associations in all the analyses such as: Wricke with AMMI, Lin and Binns with HMRPGV. Finally, in the third, the significance of association varied according to the analysis: Eberhart and Russell with Wricke, Eberhart and Russell with AMMI and Wricke with Lin and Binns. Therefore, the association among some stability parameters varies according to the trait and/or the group of genotypes analyzed. The association observed in one analysis cannot be applied to another analysis. In this data analysis is possible to observe that the AMMI method can be used with HMRPGV or Lin and Binns. In addition, Eberhart and Russell can be used with HMRPGV or Lin and Binns, since they offer differentiation and provide additional approaches to the study of stability. (C) 2015 Elsevier B.V. All rights reserved.
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spelling Association among stability measurements in rubber tree traitsRubber yieldSpearman correlationsEberhart and RussellLin and BinnsAMMIHMRPGVThe simultaneous use of different methods of stability analysis is becoming more widely used in the selection of genotypes in breeding programs. Knowing how these different methods are associated can contribute to a more efficient selection. The objective of the present study was to assess association among different methods of stability analysis in the rubber tree [Hevea brasiliensis (Willd. ex Adr. de Juss.) Muell.-Arg.], using different traits and different groups of genotypes for the same trait. Two open pollinated progeny populations (POP1 and POP2) and a group of clones (Group 1) were analyzed. POP1 contained 22 progeny, assessed in the municipalities of Pindorama, Votuporanga and jab, Sao Paulo state, Brazil. POP2 included 30 progeny assessed in Selviria, Mato Grosso do Sul state, Votuporanga and Colina, Sao Paulo state, Brazil. Group 1 consisted of 25 clones assessed in Votuporanga. The following traits were assessed in POP1: girth, rubber yield, bark thickness and number of latex vessel rings. Rubber yield was assessed in POP2 and Group 1 clones. The following methods of stability analysis were used: Wricke; Eberhart and Russell; Lin and Binns; AMMI (Principal Additive Effect and Multiplicative Interaction) and HMRPGV (Harmonic Mean of the Relative Performance of the Genetic Values) predicted by Blup (Best Linear Unbiased Prediction). The Spearman correlation was used to verify the association between the stability parameters. Three scenarios were observed; in the first, some parameters did not show significant association in any of the analyses: Eberhart and Russell with Lin and Binns; Eberhart and Russell with HMRPGV; Wricke with HMRPGV; AMMI with Lin and Binns and AMMI with HMRPGV. In the second, some parameters showed significant associations in all the analyses such as: Wricke with AMMI, Lin and Binns with HMRPGV. Finally, in the third, the significance of association varied according to the analysis: Eberhart and Russell with Wricke, Eberhart and Russell with AMMI and Wricke with Lin and Binns. Therefore, the association among some stability parameters varies according to the trait and/or the group of genotypes analyzed. The association observed in one analysis cannot be applied to another analysis. In this data analysis is possible to observe that the AMMI method can be used with HMRPGV or Lin and Binns. In addition, Eberhart and Russell can be used with HMRPGV or Lin and Binns, since they offer differentiation and provide additional approaches to the study of stability. (C) 2015 Elsevier B.V. All rights reserved.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Inst Agron Estado Sao Paulo, Programa Seringueira, Caixa Postal 28, BR-13012970 Campinas, SP, BrazilUniv Estadual Paulista, Ilha Solteira, SP, BrazilInst Agron IAC, Ctr Seringueira & Sistemas Agroflorestais, BR-15500970 Em Votuporanga, SP, BrazilUniv Estadual Paulista, Ilha Solteira, SP, BrazilFAPESP: 2012/15530-2FAPESP: 2010/50049-8FAPESP: 2010/09097-9CNPq: 562,979/2010-7CNPq: 473,256/2012-6Elsevier B.V.Inst Agron Estado Sao PauloUniversidade Estadual Paulista (Unesp)Inst Agron IACLima Gouvea, Ligia ReginaPeres Silva, Guilherme AugustoTeixeira de Moraes, Mario Luis [UNESP]Scaloppi-Junior, Erivaldo JoseFreitas, Rogerio Soares deGoncalves, Paulo de Souza2018-11-26T15:28:42Z2018-11-26T15:28:42Z2016-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article110-116application/pdfhttp://dx.doi.org/10.1016/j.indcrop.2015.11.047Industrial Crops And Products. Amsterdam: Elsevier Science Bv, v. 81, p. 110-116, 2016.0926-6690http://hdl.handle.net/11449/15870310.1016/j.indcrop.2015.11.047WOS:000370088200013WOS000370088200013.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIndustrial Crops And Products1,091info:eu-repo/semantics/openAccess2023-11-25T06:12:29Zoai:repositorio.unesp.br:11449/158703Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:39:22.974539Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Association among stability measurements in rubber tree traits
title Association among stability measurements in rubber tree traits
spellingShingle Association among stability measurements in rubber tree traits
Lima Gouvea, Ligia Regina
Rubber yield
Spearman correlations
Eberhart and Russell
Lin and Binns
AMMI
HMRPGV
title_short Association among stability measurements in rubber tree traits
title_full Association among stability measurements in rubber tree traits
title_fullStr Association among stability measurements in rubber tree traits
title_full_unstemmed Association among stability measurements in rubber tree traits
title_sort Association among stability measurements in rubber tree traits
author Lima Gouvea, Ligia Regina
author_facet Lima Gouvea, Ligia Regina
Peres Silva, Guilherme Augusto
Teixeira de Moraes, Mario Luis [UNESP]
Scaloppi-Junior, Erivaldo Jose
Freitas, Rogerio Soares de
Goncalves, Paulo de Souza
author_role author
author2 Peres Silva, Guilherme Augusto
Teixeira de Moraes, Mario Luis [UNESP]
Scaloppi-Junior, Erivaldo Jose
Freitas, Rogerio Soares de
Goncalves, Paulo de Souza
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Inst Agron Estado Sao Paulo
Universidade Estadual Paulista (Unesp)
Inst Agron IAC
dc.contributor.author.fl_str_mv Lima Gouvea, Ligia Regina
Peres Silva, Guilherme Augusto
Teixeira de Moraes, Mario Luis [UNESP]
Scaloppi-Junior, Erivaldo Jose
Freitas, Rogerio Soares de
Goncalves, Paulo de Souza
dc.subject.por.fl_str_mv Rubber yield
Spearman correlations
Eberhart and Russell
Lin and Binns
AMMI
HMRPGV
topic Rubber yield
Spearman correlations
Eberhart and Russell
Lin and Binns
AMMI
HMRPGV
description The simultaneous use of different methods of stability analysis is becoming more widely used in the selection of genotypes in breeding programs. Knowing how these different methods are associated can contribute to a more efficient selection. The objective of the present study was to assess association among different methods of stability analysis in the rubber tree [Hevea brasiliensis (Willd. ex Adr. de Juss.) Muell.-Arg.], using different traits and different groups of genotypes for the same trait. Two open pollinated progeny populations (POP1 and POP2) and a group of clones (Group 1) were analyzed. POP1 contained 22 progeny, assessed in the municipalities of Pindorama, Votuporanga and jab, Sao Paulo state, Brazil. POP2 included 30 progeny assessed in Selviria, Mato Grosso do Sul state, Votuporanga and Colina, Sao Paulo state, Brazil. Group 1 consisted of 25 clones assessed in Votuporanga. The following traits were assessed in POP1: girth, rubber yield, bark thickness and number of latex vessel rings. Rubber yield was assessed in POP2 and Group 1 clones. The following methods of stability analysis were used: Wricke; Eberhart and Russell; Lin and Binns; AMMI (Principal Additive Effect and Multiplicative Interaction) and HMRPGV (Harmonic Mean of the Relative Performance of the Genetic Values) predicted by Blup (Best Linear Unbiased Prediction). The Spearman correlation was used to verify the association between the stability parameters. Three scenarios were observed; in the first, some parameters did not show significant association in any of the analyses: Eberhart and Russell with Lin and Binns; Eberhart and Russell with HMRPGV; Wricke with HMRPGV; AMMI with Lin and Binns and AMMI with HMRPGV. In the second, some parameters showed significant associations in all the analyses such as: Wricke with AMMI, Lin and Binns with HMRPGV. Finally, in the third, the significance of association varied according to the analysis: Eberhart and Russell with Wricke, Eberhart and Russell with AMMI and Wricke with Lin and Binns. Therefore, the association among some stability parameters varies according to the trait and/or the group of genotypes analyzed. The association observed in one analysis cannot be applied to another analysis. In this data analysis is possible to observe that the AMMI method can be used with HMRPGV or Lin and Binns. In addition, Eberhart and Russell can be used with HMRPGV or Lin and Binns, since they offer differentiation and provide additional approaches to the study of stability. (C) 2015 Elsevier B.V. All rights reserved.
publishDate 2016
dc.date.none.fl_str_mv 2016-03-01
2018-11-26T15:28:42Z
2018-11-26T15:28:42Z
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 http://dx.doi.org/10.1016/j.indcrop.2015.11.047
Industrial Crops And Products. Amsterdam: Elsevier Science Bv, v. 81, p. 110-116, 2016.
0926-6690
http://hdl.handle.net/11449/158703
10.1016/j.indcrop.2015.11.047
WOS:000370088200013
WOS000370088200013.pdf
url http://dx.doi.org/10.1016/j.indcrop.2015.11.047
http://hdl.handle.net/11449/158703
identifier_str_mv Industrial Crops And Products. Amsterdam: Elsevier Science Bv, v. 81, p. 110-116, 2016.
0926-6690
10.1016/j.indcrop.2015.11.047
WOS:000370088200013
WOS000370088200013.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Industrial Crops And Products
1,091
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 110-116
application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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