Path analysis and expected response in indirect selection for grain yield in soybean
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.12702/1984-7033.v06n02a06 http://hdl.handle.net/11449/69275 |
Resumo: | This study aimed to determine the best auxiliary trait for indirect selection of soybean grain yield, through path analysis and in avoidance of the adverse effects of multicollinearity and expected response. Seventy-nine F5 soybean genotypes from the cross FT-Cometa x Bossier were used. The populations were distributed on the field was the families inserted with replicated controls. Primary and secondary traits of grain yield were evaluated in four phenotypically superior plants per family. The traits number of pods, height and number of nodes were considered as the most important, showing the best combination of direct effect and genotypic correlation. The number of pods achieved the highest expected gain through the estimation method based on the selection differential. On the other hand, plant height, by the method based on selection intensity, was not a good indicator of the most productive plants. |
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Path analysis and expected response in indirect selection for grain yield in soybeanAgronomic traitsCollinearityGenotypic correlationIndirect selectionPath analysisGlycine maxThis study aimed to determine the best auxiliary trait for indirect selection of soybean grain yield, through path analysis and in avoidance of the adverse effects of multicollinearity and expected response. Seventy-nine F5 soybean genotypes from the cross FT-Cometa x Bossier were used. The populations were distributed on the field was the families inserted with replicated controls. Primary and secondary traits of grain yield were evaluated in four phenotypically superior plants per family. The traits number of pods, height and number of nodes were considered as the most important, showing the best combination of direct effect and genotypic correlation. The number of pods achieved the highest expected gain through the estimation method based on the selection differential. On the other hand, plant height, by the method based on selection intensity, was not a good indicator of the most productive plants.APTA Polo Regional Alto Mogiana, Avenida Rui Barbosa, s/n, 14.770-000, Colina, SPDepartamento de Produção Vegetal Faculdade de Ciências Agrárias e Veterinárias (UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, 14.884-900, Jaboticabal, SPAPTA Polo Regional Centro Leste, Av. Bandeirantes, 2419, 14.030-670, Ribeirão Preto, SPEmbrapa Algodão, Rua Oswaldo Cruz, 1143, Centenário, 58.107-720, Campina Grande, PBDepartamento de Produção Vegetal Faculdade de Ciências Agrárias e Veterinárias (UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, 14.884-900, Jaboticabal, SPPolo Regional Alto MogianaUniversidade Estadual Paulista (Unesp)Polo Regional Centro LesteEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Bárbaro, Ivana MarinoCenturion, Maria Aparecida Pessôa Da Cruz [UNESP]Di Mauro, Antonio Orlando [UNESP]Unêda-Trevisoli, Sandra HelenaArriel, Nair Helena CastroCosta, Marcelo Marchi [UNESP]2014-05-27T11:22:03Z2014-05-27T11:22:03Z2006-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article151-159application/pdfhttp://dx.doi.org/10.12702/1984-7033.v06n02a06Crop Breeding and Applied Biotechnology, v. 6, n. 2, p. 151-159, 2006.1518-7853http://hdl.handle.net/11449/6927510.12702/1984-7033.v06n02a062-s2.0-411490925892-s2.0-41149092589.pdf127565251882209550248675334980260000-0003-3060-924XScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCrop Breeding and Applied Biotechnology0,609info:eu-repo/semantics/openAccess2024-06-07T13:56:00Zoai:repositorio.unesp.br:11449/69275Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-07T13:56Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Path analysis and expected response in indirect selection for grain yield in soybean |
title |
Path analysis and expected response in indirect selection for grain yield in soybean |
spellingShingle |
Path analysis and expected response in indirect selection for grain yield in soybean Bárbaro, Ivana Marino Agronomic traits Collinearity Genotypic correlation Indirect selection Path analysis Glycine max |
title_short |
Path analysis and expected response in indirect selection for grain yield in soybean |
title_full |
Path analysis and expected response in indirect selection for grain yield in soybean |
title_fullStr |
Path analysis and expected response in indirect selection for grain yield in soybean |
title_full_unstemmed |
Path analysis and expected response in indirect selection for grain yield in soybean |
title_sort |
Path analysis and expected response in indirect selection for grain yield in soybean |
author |
Bárbaro, Ivana Marino |
author_facet |
Bárbaro, Ivana Marino Centurion, Maria Aparecida Pessôa Da Cruz [UNESP] Di Mauro, Antonio Orlando [UNESP] Unêda-Trevisoli, Sandra Helena Arriel, Nair Helena Castro Costa, Marcelo Marchi [UNESP] |
author_role |
author |
author2 |
Centurion, Maria Aparecida Pessôa Da Cruz [UNESP] Di Mauro, Antonio Orlando [UNESP] Unêda-Trevisoli, Sandra Helena Arriel, Nair Helena Castro Costa, Marcelo Marchi [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Polo Regional Alto Mogiana Universidade Estadual Paulista (Unesp) Polo Regional Centro Leste Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) |
dc.contributor.author.fl_str_mv |
Bárbaro, Ivana Marino Centurion, Maria Aparecida Pessôa Da Cruz [UNESP] Di Mauro, Antonio Orlando [UNESP] Unêda-Trevisoli, Sandra Helena Arriel, Nair Helena Castro Costa, Marcelo Marchi [UNESP] |
dc.subject.por.fl_str_mv |
Agronomic traits Collinearity Genotypic correlation Indirect selection Path analysis Glycine max |
topic |
Agronomic traits Collinearity Genotypic correlation Indirect selection Path analysis Glycine max |
description |
This study aimed to determine the best auxiliary trait for indirect selection of soybean grain yield, through path analysis and in avoidance of the adverse effects of multicollinearity and expected response. Seventy-nine F5 soybean genotypes from the cross FT-Cometa x Bossier were used. The populations were distributed on the field was the families inserted with replicated controls. Primary and secondary traits of grain yield were evaluated in four phenotypically superior plants per family. The traits number of pods, height and number of nodes were considered as the most important, showing the best combination of direct effect and genotypic correlation. The number of pods achieved the highest expected gain through the estimation method based on the selection differential. On the other hand, plant height, by the method based on selection intensity, was not a good indicator of the most productive plants. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-12-01 2014-05-27T11:22:03Z 2014-05-27T11:22:03Z |
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/10.12702/1984-7033.v06n02a06 Crop Breeding and Applied Biotechnology, v. 6, n. 2, p. 151-159, 2006. 1518-7853 http://hdl.handle.net/11449/69275 10.12702/1984-7033.v06n02a06 2-s2.0-41149092589 2-s2.0-41149092589.pdf 1275652518822095 5024867533498026 0000-0003-3060-924X |
url |
http://dx.doi.org/10.12702/1984-7033.v06n02a06 http://hdl.handle.net/11449/69275 |
identifier_str_mv |
Crop Breeding and Applied Biotechnology, v. 6, n. 2, p. 151-159, 2006. 1518-7853 10.12702/1984-7033.v06n02a06 2-s2.0-41149092589 2-s2.0-41149092589.pdf 1275652518822095 5024867533498026 0000-0003-3060-924X |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Crop Breeding and Applied Biotechnology 0,609 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
151-159 application/pdf |
dc.source.none.fl_str_mv |
Scopus 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_ |
1803649704375877632 |