GENETIC PARAMETERS IN RIPARIAN REFLORESTATION WITHOUT STRUCTURE OF PROGENIES BY MIXED MODELS (REML/BLUP)

Detalhes bibliográficos
Autor(a) principal: Silva, Alexandre Marques da [UNESP]
Data de Publicação: 2017
Outros Autores: Oliveira Canuto, Daniela Silvia de [UNESP], Teixeira de Moraes, Mario Luiz [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/01047760201723042450
http://hdl.handle.net/11449/160107
Resumo: The objective of this work is to estimate genetic parameters for silvicultural traits in riparian reforestation at 20 years of age, without progeny structure by mixed models (REML / BLUP). The present work was carried out at the Fazenda de Ensino, Pesquisa e Extensao (FEPE) of the Faculdade de Engenharia de Ilha Solteira, Universidade Estadual Julio de Mesquita Filho (FEIS/UNESP), located in the municipality of Selviria (MS). In February and March of 1986 began the planting of the riparian reforestation in modules, existing two Modules with different numbers of species. The spacing used in the planting of the species was 2 x 3 m. The riparian reforestation has an area of 9.5 ha in the total sum of the two Modules of planting. The silvicultural traita evaluated at 20 years were total plant height (ALT, m), diameter at breast height (DBH, cm) and survival of planted individuals, which were used to calculate the variance component components of genetic parameters, using the genetic-statistical program SELEGEN-REML/BLUP. High genetic variability was observed among the genotypes for the silvicultural traits studied in the riparian reforestation. The accuracy was of high magnitude, showing good reliability of the results. The mixed model method (REML/BLUP) was adequate for the estimation of genetic parameters and prediction of genotypic values in riparian reforestation, and it could be used routinely.
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spelling GENETIC PARAMETERS IN RIPARIAN REFLORESTATION WITHOUT STRUCTURE OF PROGENIES BY MIXED MODELS (REML/BLUP)Multivariate analysisGenotypic divergenceConservationThe objective of this work is to estimate genetic parameters for silvicultural traits in riparian reforestation at 20 years of age, without progeny structure by mixed models (REML / BLUP). The present work was carried out at the Fazenda de Ensino, Pesquisa e Extensao (FEPE) of the Faculdade de Engenharia de Ilha Solteira, Universidade Estadual Julio de Mesquita Filho (FEIS/UNESP), located in the municipality of Selviria (MS). In February and March of 1986 began the planting of the riparian reforestation in modules, existing two Modules with different numbers of species. The spacing used in the planting of the species was 2 x 3 m. The riparian reforestation has an area of 9.5 ha in the total sum of the two Modules of planting. The silvicultural traita evaluated at 20 years were total plant height (ALT, m), diameter at breast height (DBH, cm) and survival of planted individuals, which were used to calculate the variance component components of genetic parameters, using the genetic-statistical program SELEGEN-REML/BLUP. High genetic variability was observed among the genotypes for the silvicultural traits studied in the riparian reforestation. The accuracy was of high magnitude, showing good reliability of the results. The mixed model method (REML/BLUP) was adequate for the estimation of genetic parameters and prediction of genotypic values in riparian reforestation, and it could be used routinely.Univ Estadual Paulista, Ilha Solteira, SP, BrazilUniv Estadual Paulista, Ilha Solteira, SP, BrazilUniv Federal Lavras-uflaUniversidade Estadual Paulista (Unesp)Silva, Alexandre Marques da [UNESP]Oliveira Canuto, Daniela Silvia de [UNESP]Teixeira de Moraes, Mario Luiz [UNESP]2018-11-26T15:47:30Z2018-11-26T15:47:30Z2017-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article501-506application/pdfhttp://dx.doi.org/10.1590/01047760201723042450Cerne. Lavras: Univ Federal Lavras-ufla, v. 23, n. 4, p. 501-506, 2017.0104-7760http://hdl.handle.net/11449/16010710.1590/01047760201723042450S0104-77602017000400501WOS:000425627600012S0104-77602017000400501.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCerne0,368info:eu-repo/semantics/openAccess2023-11-18T06:10:24Zoai:repositorio.unesp.br:11449/160107Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-18T06:10:24Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv GENETIC PARAMETERS IN RIPARIAN REFLORESTATION WITHOUT STRUCTURE OF PROGENIES BY MIXED MODELS (REML/BLUP)
title GENETIC PARAMETERS IN RIPARIAN REFLORESTATION WITHOUT STRUCTURE OF PROGENIES BY MIXED MODELS (REML/BLUP)
spellingShingle GENETIC PARAMETERS IN RIPARIAN REFLORESTATION WITHOUT STRUCTURE OF PROGENIES BY MIXED MODELS (REML/BLUP)
Silva, Alexandre Marques da [UNESP]
Multivariate analysis
Genotypic divergence
Conservation
title_short GENETIC PARAMETERS IN RIPARIAN REFLORESTATION WITHOUT STRUCTURE OF PROGENIES BY MIXED MODELS (REML/BLUP)
title_full GENETIC PARAMETERS IN RIPARIAN REFLORESTATION WITHOUT STRUCTURE OF PROGENIES BY MIXED MODELS (REML/BLUP)
title_fullStr GENETIC PARAMETERS IN RIPARIAN REFLORESTATION WITHOUT STRUCTURE OF PROGENIES BY MIXED MODELS (REML/BLUP)
title_full_unstemmed GENETIC PARAMETERS IN RIPARIAN REFLORESTATION WITHOUT STRUCTURE OF PROGENIES BY MIXED MODELS (REML/BLUP)
title_sort GENETIC PARAMETERS IN RIPARIAN REFLORESTATION WITHOUT STRUCTURE OF PROGENIES BY MIXED MODELS (REML/BLUP)
author Silva, Alexandre Marques da [UNESP]
author_facet Silva, Alexandre Marques da [UNESP]
Oliveira Canuto, Daniela Silvia de [UNESP]
Teixeira de Moraes, Mario Luiz [UNESP]
author_role author
author2 Oliveira Canuto, Daniela Silvia de [UNESP]
Teixeira de Moraes, Mario Luiz [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Silva, Alexandre Marques da [UNESP]
Oliveira Canuto, Daniela Silvia de [UNESP]
Teixeira de Moraes, Mario Luiz [UNESP]
dc.subject.por.fl_str_mv Multivariate analysis
Genotypic divergence
Conservation
topic Multivariate analysis
Genotypic divergence
Conservation
description The objective of this work is to estimate genetic parameters for silvicultural traits in riparian reforestation at 20 years of age, without progeny structure by mixed models (REML / BLUP). The present work was carried out at the Fazenda de Ensino, Pesquisa e Extensao (FEPE) of the Faculdade de Engenharia de Ilha Solteira, Universidade Estadual Julio de Mesquita Filho (FEIS/UNESP), located in the municipality of Selviria (MS). In February and March of 1986 began the planting of the riparian reforestation in modules, existing two Modules with different numbers of species. The spacing used in the planting of the species was 2 x 3 m. The riparian reforestation has an area of 9.5 ha in the total sum of the two Modules of planting. The silvicultural traita evaluated at 20 years were total plant height (ALT, m), diameter at breast height (DBH, cm) and survival of planted individuals, which were used to calculate the variance component components of genetic parameters, using the genetic-statistical program SELEGEN-REML/BLUP. High genetic variability was observed among the genotypes for the silvicultural traits studied in the riparian reforestation. The accuracy was of high magnitude, showing good reliability of the results. The mixed model method (REML/BLUP) was adequate for the estimation of genetic parameters and prediction of genotypic values in riparian reforestation, and it could be used routinely.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-01
2018-11-26T15:47:30Z
2018-11-26T15:47:30Z
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/10.1590/01047760201723042450
Cerne. Lavras: Univ Federal Lavras-ufla, v. 23, n. 4, p. 501-506, 2017.
0104-7760
http://hdl.handle.net/11449/160107
10.1590/01047760201723042450
S0104-77602017000400501
WOS:000425627600012
S0104-77602017000400501.pdf
url http://dx.doi.org/10.1590/01047760201723042450
http://hdl.handle.net/11449/160107
identifier_str_mv Cerne. Lavras: Univ Federal Lavras-ufla, v. 23, n. 4, p. 501-506, 2017.
0104-7760
10.1590/01047760201723042450
S0104-77602017000400501
WOS:000425627600012
S0104-77602017000400501.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Cerne
0,368
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 501-506
application/pdf
dc.publisher.none.fl_str_mv Univ Federal Lavras-ufla
publisher.none.fl_str_mv Univ Federal Lavras-ufla
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
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