THE USE OF GENETIC DISTANCE AND GROUPING METHODS TO PREDICT Eucalyptus pellita F.MUELL GENITORS FOR HYBRIDIZATION

Detalhes bibliográficos
Autor(a) principal: Andrade, Mateus Chagas [UNESP]
Data de Publicação: 2020
Outros Autores: Miranda Fernandes, Aline Cristina, Siqueira, Leandro de, Tambarussi, Evandro Vagner [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/01047760202026032744
http://hdl.handle.net/11449/209030
Resumo: The objective of this study was to use quantitative traits to estimate the genetic distance among E. pellita provenances and progenies, to inform possible hybridization strategies in a species improvement program. A provenance and progeny test with 118 progenies from seven provenances was evaluated. The following quantitative traits were measured at seven years of age: diameter at breast height (DBH); height; and individual volume. The data were submitted to REML/BLUP analysis to obtain the predicted genetic value (BLUP). From this, the Mahalanobis (D-2) genetic distance was estimated for provenances and progenies, which were then grouped by Tocher's method, the unweighted pair group method using arithmetic averages (UPGMA), and principal component analysis (PCA). In total, 29 divergent groups were obtained among progenies based on Tocher's method, which showed greater reliability according to the cophenetic correlation coefficient than UPGMA. The opposite was found between provenances, where the results for UPGMA demonstrated greater clustering reliability. Based on principal component analysis (PCA), the M. Ray and Tully provenances were the most similar, while Connl. A and Orchard were the most divergent. Height was the most important trait in estimating genetic distance. The results obtained offer important insights for breeding programs; with this information, crosses can be designed between contrasting individuals among and within provenances to obtain E. pellita hybrids, validating the possible heterotic groups identified through the genetic distance and grouping methods.
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spelling THE USE OF GENETIC DISTANCE AND GROUPING METHODS TO PREDICT Eucalyptus pellita F.MUELL GENITORS FOR HYBRIDIZATIONMultivariate analysisforest improvementheterotic groupshybridsThe objective of this study was to use quantitative traits to estimate the genetic distance among E. pellita provenances and progenies, to inform possible hybridization strategies in a species improvement program. A provenance and progeny test with 118 progenies from seven provenances was evaluated. The following quantitative traits were measured at seven years of age: diameter at breast height (DBH); height; and individual volume. The data were submitted to REML/BLUP analysis to obtain the predicted genetic value (BLUP). From this, the Mahalanobis (D-2) genetic distance was estimated for provenances and progenies, which were then grouped by Tocher's method, the unweighted pair group method using arithmetic averages (UPGMA), and principal component analysis (PCA). In total, 29 divergent groups were obtained among progenies based on Tocher's method, which showed greater reliability according to the cophenetic correlation coefficient than UPGMA. The opposite was found between provenances, where the results for UPGMA demonstrated greater clustering reliability. Based on principal component analysis (PCA), the M. Ray and Tully provenances were the most similar, while Connl. A and Orchard were the most divergent. Height was the most important trait in estimating genetic distance. The results obtained offer important insights for breeding programs; with this information, crosses can be designed between contrasting individuals among and within provenances to obtain E. pellita hybrids, validating the possible heterotic groups identified through the genetic distance and grouping methods.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Estadual Paulista, Botucatu, SP, BrazilSuzano SA, Tres Lagoas, MS, BrazilSuzano SA, Imperatriz, Maranhao, BrazilMidwestern State Univ, Irati, Parana, BrazilUniv Estadual Paulista, Botucatu, SP, BrazilCNPq: 304899/2019-4Univ Federal Lavras-uflaUniversidade Estadual Paulista (Unesp)Suzano SAMidwestern State UnivAndrade, Mateus Chagas [UNESP]Miranda Fernandes, Aline CristinaSiqueira, Leandro deTambarussi, Evandro Vagner [UNESP]2021-06-25T11:46:22Z2021-06-25T11:46:22Z2020-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article414-426application/pdfhttp://dx.doi.org/10.1590/01047760202026032744Cerne. Lavras: Univ Federal Lavras-ufla, v. 26, n. 4, p. 414-426, 2020.0104-7760http://hdl.handle.net/11449/20903010.1590/01047760202026032744S0104-77602020000400414WOS:000600296600002S0104-77602020000400414.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCerneinfo:eu-repo/semantics/openAccess2023-11-18T06:12:25Zoai:repositorio.unesp.br:11449/209030Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-18T06:12:25Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv THE USE OF GENETIC DISTANCE AND GROUPING METHODS TO PREDICT Eucalyptus pellita F.MUELL GENITORS FOR HYBRIDIZATION
title THE USE OF GENETIC DISTANCE AND GROUPING METHODS TO PREDICT Eucalyptus pellita F.MUELL GENITORS FOR HYBRIDIZATION
spellingShingle THE USE OF GENETIC DISTANCE AND GROUPING METHODS TO PREDICT Eucalyptus pellita F.MUELL GENITORS FOR HYBRIDIZATION
Andrade, Mateus Chagas [UNESP]
Multivariate analysis
forest improvement
heterotic groups
hybrids
title_short THE USE OF GENETIC DISTANCE AND GROUPING METHODS TO PREDICT Eucalyptus pellita F.MUELL GENITORS FOR HYBRIDIZATION
title_full THE USE OF GENETIC DISTANCE AND GROUPING METHODS TO PREDICT Eucalyptus pellita F.MUELL GENITORS FOR HYBRIDIZATION
title_fullStr THE USE OF GENETIC DISTANCE AND GROUPING METHODS TO PREDICT Eucalyptus pellita F.MUELL GENITORS FOR HYBRIDIZATION
title_full_unstemmed THE USE OF GENETIC DISTANCE AND GROUPING METHODS TO PREDICT Eucalyptus pellita F.MUELL GENITORS FOR HYBRIDIZATION
title_sort THE USE OF GENETIC DISTANCE AND GROUPING METHODS TO PREDICT Eucalyptus pellita F.MUELL GENITORS FOR HYBRIDIZATION
author Andrade, Mateus Chagas [UNESP]
author_facet Andrade, Mateus Chagas [UNESP]
Miranda Fernandes, Aline Cristina
Siqueira, Leandro de
Tambarussi, Evandro Vagner [UNESP]
author_role author
author2 Miranda Fernandes, Aline Cristina
Siqueira, Leandro de
Tambarussi, Evandro Vagner [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Suzano SA
Midwestern State Univ
dc.contributor.author.fl_str_mv Andrade, Mateus Chagas [UNESP]
Miranda Fernandes, Aline Cristina
Siqueira, Leandro de
Tambarussi, Evandro Vagner [UNESP]
dc.subject.por.fl_str_mv Multivariate analysis
forest improvement
heterotic groups
hybrids
topic Multivariate analysis
forest improvement
heterotic groups
hybrids
description The objective of this study was to use quantitative traits to estimate the genetic distance among E. pellita provenances and progenies, to inform possible hybridization strategies in a species improvement program. A provenance and progeny test with 118 progenies from seven provenances was evaluated. The following quantitative traits were measured at seven years of age: diameter at breast height (DBH); height; and individual volume. The data were submitted to REML/BLUP analysis to obtain the predicted genetic value (BLUP). From this, the Mahalanobis (D-2) genetic distance was estimated for provenances and progenies, which were then grouped by Tocher's method, the unweighted pair group method using arithmetic averages (UPGMA), and principal component analysis (PCA). In total, 29 divergent groups were obtained among progenies based on Tocher's method, which showed greater reliability according to the cophenetic correlation coefficient than UPGMA. The opposite was found between provenances, where the results for UPGMA demonstrated greater clustering reliability. Based on principal component analysis (PCA), the M. Ray and Tully provenances were the most similar, while Connl. A and Orchard were the most divergent. Height was the most important trait in estimating genetic distance. The results obtained offer important insights for breeding programs; with this information, crosses can be designed between contrasting individuals among and within provenances to obtain E. pellita hybrids, validating the possible heterotic groups identified through the genetic distance and grouping methods.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-01
2021-06-25T11:46:22Z
2021-06-25T11:46:22Z
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/10.1590/01047760202026032744
Cerne. Lavras: Univ Federal Lavras-ufla, v. 26, n. 4, p. 414-426, 2020.
0104-7760
http://hdl.handle.net/11449/209030
10.1590/01047760202026032744
S0104-77602020000400414
WOS:000600296600002
S0104-77602020000400414.pdf
url http://dx.doi.org/10.1590/01047760202026032744
http://hdl.handle.net/11449/209030
identifier_str_mv Cerne. Lavras: Univ Federal Lavras-ufla, v. 26, n. 4, p. 414-426, 2020.
0104-7760
10.1590/01047760202026032744
S0104-77602020000400414
WOS:000600296600002
S0104-77602020000400414.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Cerne
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 414-426
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)
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