THE USE OF GENETIC DISTANCE AND GROUPING METHODS TO PREDICT Eucalyptus pellita F.MUELL GENITORS FOR HYBRIDIZATION
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
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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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:29462024-08-05T18:02:13.549375Repositório 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) |
repository.mail.fl_str_mv |
|
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1808128887057547264 |