Predicted genetic gains for growth traits and wood resistance in Pinus maximinoi and Pinus tecunumanii

Detalhes bibliográficos
Autor(a) principal: Perek,Matheus
Data de Publicação: 2022
Outros Autores: Hodge,Gary, Tambarussi,Evandro Vagner, Biernaski,Fabricio Antonio, Acosta,Juan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Crop Breeding and Applied Biotechnology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332022000200207
Resumo: Abstract Tree breeders use traits of economic interest as productivity, stem form and wood quality, to select individuals for advanced generations. We determined the genetic control of growth volume, tree height and diameter, stem form and wood resistance, and calculated a selection index for Pinus maximinoi and P. tecunumanii, selected individuals were used to establish a seedling seed orchard (SSO). The largest genetic gain obtained in SSO for P. maximinoi was 21.48% for volume, while for P. tecunumanii it was 21.87% for stem form. There is enough genetic variability for genetic gain in future generations in tests of P. maximinoi and P. tecunumanii progenies. The selection index provided satisfactory total genetic gains for several traits, being more recommended than the BLUP method in order to support the selection and ranking of superior genetic materials in the progeny tests with greater probability of retaining favorable alleles over generations.
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spelling Predicted genetic gains for growth traits and wood resistance in Pinus maximinoi and Pinus tecunumaniiGenetic parametersSeed orchardHeritabilityResistographSelection indexAbstract Tree breeders use traits of economic interest as productivity, stem form and wood quality, to select individuals for advanced generations. We determined the genetic control of growth volume, tree height and diameter, stem form and wood resistance, and calculated a selection index for Pinus maximinoi and P. tecunumanii, selected individuals were used to establish a seedling seed orchard (SSO). The largest genetic gain obtained in SSO for P. maximinoi was 21.48% for volume, while for P. tecunumanii it was 21.87% for stem form. There is enough genetic variability for genetic gain in future generations in tests of P. maximinoi and P. tecunumanii progenies. The selection index provided satisfactory total genetic gains for several traits, being more recommended than the BLUP method in order to support the selection and ranking of superior genetic materials in the progeny tests with greater probability of retaining favorable alleles over generations.Crop Breeding and Applied Biotechnology2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332022000200207Crop Breeding and Applied Biotechnology v.22 n.2 2022reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332022v22n2a23info:eu-repo/semantics/openAccessPerek,MatheusHodge,GaryTambarussi,Evandro VagnerBiernaski,Fabricio AntonioAcosta,Juaneng2022-08-02T00:00:00Zoai:scielo:S1984-70332022000200207Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2022-08-02T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse
dc.title.none.fl_str_mv Predicted genetic gains for growth traits and wood resistance in Pinus maximinoi and Pinus tecunumanii
title Predicted genetic gains for growth traits and wood resistance in Pinus maximinoi and Pinus tecunumanii
spellingShingle Predicted genetic gains for growth traits and wood resistance in Pinus maximinoi and Pinus tecunumanii
Perek,Matheus
Genetic parameters
Seed orchard
Heritability
Resistograph
Selection index
title_short Predicted genetic gains for growth traits and wood resistance in Pinus maximinoi and Pinus tecunumanii
title_full Predicted genetic gains for growth traits and wood resistance in Pinus maximinoi and Pinus tecunumanii
title_fullStr Predicted genetic gains for growth traits and wood resistance in Pinus maximinoi and Pinus tecunumanii
title_full_unstemmed Predicted genetic gains for growth traits and wood resistance in Pinus maximinoi and Pinus tecunumanii
title_sort Predicted genetic gains for growth traits and wood resistance in Pinus maximinoi and Pinus tecunumanii
author Perek,Matheus
author_facet Perek,Matheus
Hodge,Gary
Tambarussi,Evandro Vagner
Biernaski,Fabricio Antonio
Acosta,Juan
author_role author
author2 Hodge,Gary
Tambarussi,Evandro Vagner
Biernaski,Fabricio Antonio
Acosta,Juan
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Perek,Matheus
Hodge,Gary
Tambarussi,Evandro Vagner
Biernaski,Fabricio Antonio
Acosta,Juan
dc.subject.por.fl_str_mv Genetic parameters
Seed orchard
Heritability
Resistograph
Selection index
topic Genetic parameters
Seed orchard
Heritability
Resistograph
Selection index
description Abstract Tree breeders use traits of economic interest as productivity, stem form and wood quality, to select individuals for advanced generations. We determined the genetic control of growth volume, tree height and diameter, stem form and wood resistance, and calculated a selection index for Pinus maximinoi and P. tecunumanii, selected individuals were used to establish a seedling seed orchard (SSO). The largest genetic gain obtained in SSO for P. maximinoi was 21.48% for volume, while for P. tecunumanii it was 21.87% for stem form. There is enough genetic variability for genetic gain in future generations in tests of P. maximinoi and P. tecunumanii progenies. The selection index provided satisfactory total genetic gains for several traits, being more recommended than the BLUP method in order to support the selection and ranking of superior genetic materials in the progeny tests with greater probability of retaining favorable alleles over generations.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332022000200207
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332022000200207
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1984-70332022v22n2a23
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
dc.source.none.fl_str_mv Crop Breeding and Applied Biotechnology v.22 n.2 2022
reponame:Crop Breeding and Applied Biotechnology
instname:Sociedade Brasileira de Melhoramento de Plantas
instacron:CBAB
instname_str Sociedade Brasileira de Melhoramento de Plantas
instacron_str CBAB
institution CBAB
reponame_str Crop Breeding and Applied Biotechnology
collection Crop Breeding and Applied Biotechnology
repository.name.fl_str_mv Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantas
repository.mail.fl_str_mv cbabjournal@gmail.com||cbab@ufv.br
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