Association among stability measurements in rubber tree traits
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 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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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) |
repository.mail.fl_str_mv |
|
_version_ |
1808128961756004352 |