GENETIC PARAMETERS IN RIPARIAN REFLORESTATION WITHOUT STRUCTURE OF PROGENIES BY MIXED MODELS (REML/BLUP)
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1799964976425730048 |