Genetic divergence genetic between Pinus caribaea var. hondurensis progenies based on quantitative traits

Detalhes bibliográficos
Autor(a) principal: Santos, Wanderley dos
Data de Publicação: 2023
Outros Autores: Araújo, Elton Gean, Souza, Danilla Cristina Lemos, Silva, Janaína Rodrigues da, Recco, Camila Regina Silva Baleroni, Moraes, Mário Luiz Teixeira de, Aguiar, Ananda Virginia de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Florestal Brasileira (Online)
Texto Completo: https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/920
Resumo: The proposal of this study was to estimate the genetic divergence among Pinus caribaea var. hondurensis progenies through quantitative traits. Trail was established in lattice design 10 x 10, triple, with 100 treatments (96 progenies from clonal seed orchard of P. caribaea var. hondurensis and four controls). The genetic divergence was estimated using the generalized Mahalanobis distance (D2) and Torcher’s optimization method. Diameter at 1.30 above the ground, total plant height, cylindrical volume, total resin production and resin per panel area were evaluated. The largest genetic distance observed between the progenies was 100% (D2 = 65.51) and the lowest was 0,09% (D2 = 0.15). Clustering by Torcher’s optimization method separated the progeny in four groups, with a concentration of 96.9% of the progenies in a single group. Volume was the largest contributor to the genetic divergence among groups. To include these progeny in breeding programs for resin and wood production controlled crossings should be prioritized among the most productive individuals that presented greater genetic divergence.
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spelling Genetic divergence genetic between Pinus caribaea var. hondurensis progenies based on quantitative traitsDivergência genética entre progênies de polinização aberta de Pinus caribaea var. hondurensis a partir de caracteres quantitativosMelhoramento genéticoDistância generalizada de MahalanobisOtimização de TocherGenetic breedingGeneralized Mahalanobis distanceTocher optimizationThe proposal of this study was to estimate the genetic divergence among Pinus caribaea var. hondurensis progenies through quantitative traits. Trail was established in lattice design 10 x 10, triple, with 100 treatments (96 progenies from clonal seed orchard of P. caribaea var. hondurensis and four controls). The genetic divergence was estimated using the generalized Mahalanobis distance (D2) and Torcher’s optimization method. Diameter at 1.30 above the ground, total plant height, cylindrical volume, total resin production and resin per panel area were evaluated. The largest genetic distance observed between the progenies was 100% (D2 = 65.51) and the lowest was 0,09% (D2 = 0.15). Clustering by Torcher’s optimization method separated the progeny in four groups, with a concentration of 96.9% of the progenies in a single group. Volume was the largest contributor to the genetic divergence among groups. To include these progeny in breeding programs for resin and wood production controlled crossings should be prioritized among the most productive individuals that presented greater genetic divergence.Este trabalho foi realizado com o objetivo de estimar a divergência genética entre progênies de Pinus caribaea var. hondurensis, por meio de caracteres quantitativos. O experimento foi instalado em delineamento látice 10 x 10, triplo, com 100 tratamentos (96 progênies oriundas de polinização aberta de um pomar clonal da espécie e quatro testemunhas). Foram avaliados os caracteres: diâmetro a 1,30 m do solo, altura total de planta, volume cilíndrico, produção de resina total e resina por área de painel. Utilizou-se a distância generalizada de Mahalanobis (D2) e o método de otimização de Tocher. A maior distância genética observada entre as progênies foi de 100% (D2 = 65,51) e a menor foi de 0,09% (D2 = 0,15). O caractere volume foi o que mais contribuiu para a divergência genética entre os grupos avaliados. O agrupamento a partir do método de otimização de Tocher possibilitou a separação das progênies em quatro grupos, com concentração de 96,9% das progênies em um único grupo. Para que estas progênies possam ser incluídas em programas de melhoramento genético para produção de resina e madeira, cruzamentos controlados deverão ser priorizados entre indivíduos mais produtivos, que apresentaram maior divergência genética.Embrapa Florestas2023-03-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documenthttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/92010.4336/2016.pfb.36.86.920Pesquisa Florestal Brasileira; v. 36 n. 86 (2016): abr./jun.; 127-133Pesquisa Florestal Brasileira; Vol. 36 No. 86 (2016): abr./jun.; 127-1331983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/920/502https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/920/1279Copyright (c) 2016 Wanderley dos Santos, Elton Gean Araújo, Danilla Cristina Lemos Souza, Janaína Rodrigues da Silva, Camila Regina Silva Baleroni Recco, Mário Luiz Teixeira de Moraes, Ananda Virginia de Aguiarhttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessSantos, Wanderley dosAraújo, Elton GeanSouza, Danilla Cristina LemosSilva, Janaína Rodrigues daRecco, Camila Regina Silva BaleroniMoraes, Mário Luiz Teixeira deAguiar, Ananda Virginia de2023-03-16T12:50:18Zoai:pfb.cnpf.embrapa.br/pfb:article/920Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2023-03-16T12:50:18Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Genetic divergence genetic between Pinus caribaea var. hondurensis progenies based on quantitative traits
Divergência genética entre progênies de polinização aberta de Pinus caribaea var. hondurensis a partir de caracteres quantitativos
title Genetic divergence genetic between Pinus caribaea var. hondurensis progenies based on quantitative traits
spellingShingle Genetic divergence genetic between Pinus caribaea var. hondurensis progenies based on quantitative traits
Santos, Wanderley dos
Melhoramento genético
Distância generalizada de Mahalanobis
Otimização de Tocher
Genetic breeding
Generalized Mahalanobis distance
Tocher optimization
title_short Genetic divergence genetic between Pinus caribaea var. hondurensis progenies based on quantitative traits
title_full Genetic divergence genetic between Pinus caribaea var. hondurensis progenies based on quantitative traits
title_fullStr Genetic divergence genetic between Pinus caribaea var. hondurensis progenies based on quantitative traits
title_full_unstemmed Genetic divergence genetic between Pinus caribaea var. hondurensis progenies based on quantitative traits
title_sort Genetic divergence genetic between Pinus caribaea var. hondurensis progenies based on quantitative traits
author Santos, Wanderley dos
author_facet Santos, Wanderley dos
Araújo, Elton Gean
Souza, Danilla Cristina Lemos
Silva, Janaína Rodrigues da
Recco, Camila Regina Silva Baleroni
Moraes, Mário Luiz Teixeira de
Aguiar, Ananda Virginia de
author_role author
author2 Araújo, Elton Gean
Souza, Danilla Cristina Lemos
Silva, Janaína Rodrigues da
Recco, Camila Regina Silva Baleroni
Moraes, Mário Luiz Teixeira de
Aguiar, Ananda Virginia de
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santos, Wanderley dos
Araújo, Elton Gean
Souza, Danilla Cristina Lemos
Silva, Janaína Rodrigues da
Recco, Camila Regina Silva Baleroni
Moraes, Mário Luiz Teixeira de
Aguiar, Ananda Virginia de
dc.subject.por.fl_str_mv Melhoramento genético
Distância generalizada de Mahalanobis
Otimização de Tocher
Genetic breeding
Generalized Mahalanobis distance
Tocher optimization
topic Melhoramento genético
Distância generalizada de Mahalanobis
Otimização de Tocher
Genetic breeding
Generalized Mahalanobis distance
Tocher optimization
description The proposal of this study was to estimate the genetic divergence among Pinus caribaea var. hondurensis progenies through quantitative traits. Trail was established in lattice design 10 x 10, triple, with 100 treatments (96 progenies from clonal seed orchard of P. caribaea var. hondurensis and four controls). The genetic divergence was estimated using the generalized Mahalanobis distance (D2) and Torcher’s optimization method. Diameter at 1.30 above the ground, total plant height, cylindrical volume, total resin production and resin per panel area were evaluated. The largest genetic distance observed between the progenies was 100% (D2 = 65.51) and the lowest was 0,09% (D2 = 0.15). Clustering by Torcher’s optimization method separated the progeny in four groups, with a concentration of 96.9% of the progenies in a single group. Volume was the largest contributor to the genetic divergence among groups. To include these progeny in breeding programs for resin and wood production controlled crossings should be prioritized among the most productive individuals that presented greater genetic divergence.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/920
10.4336/2016.pfb.36.86.920
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/920
identifier_str_mv 10.4336/2016.pfb.36.86.920
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/920/502
https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/920/1279
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/vnd.openxmlformats-officedocument.wordprocessingml.document
dc.publisher.none.fl_str_mv Embrapa Florestas
publisher.none.fl_str_mv Embrapa Florestas
dc.source.none.fl_str_mv Pesquisa Florestal Brasileira; v. 36 n. 86 (2016): abr./jun.; 127-133
Pesquisa Florestal Brasileira; Vol. 36 No. 86 (2016): abr./jun.; 127-133
1983-2605
1809-3647
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instacron_str EMBRAPA
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reponame_str Pesquisa Florestal Brasileira (Online)
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repository.name.fl_str_mv Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br
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