Repeatability and genetic dissimilarity using biometric traits of black wattle seeds.

Detalhes bibliográficos
Autor(a) principal: FLÔRES JUNIOR, P. C.
Data de Publicação: 2018
Outros Autores: IKEDA, A. C., SCHUHLI, G. S. e, SILVA, L. D., HIGA, A. R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1093520
Resumo: Selecting superior individuals requires a careful genetic evaluation. For this reason, repeated measurements of biometric traits need to be carried out in the same individual. This index is a strategic tool aimed to assist in providing accurate observations and further selection. The objectives of this study were to estimate the repeatability coefficient in many seed traits for black wattle clones; test the best method to estimate the optimal number of measurements required; and to analyze genetic dissimilarity. Seed weight, longitudinal length, transversal length, thickness and hilum size were evaluated in nine clones measuring 50 seeds per clone The following methods were employed in the evaluation: analysis of variance, principal component analysis (PCA) based on the correlation and covariance matrices, and structural analysis. Mahalanobis distance was calculated and a scatter plot was created to evaluate genetic dissimilarity. The results showed that the most effective method to determine the repeatability coefficient was PCA based on the covariance matrix. Twenty measurements are needed in order to achieve a coefficient of determination of 90%. Based on the measures of genetic dissimilarity, it was possible to differentiate clones and to recognize two genetically distinct groups.
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spelling Repeatability and genetic dissimilarity using biometric traits of black wattle seeds.Black wattleNumber of measurementsCoeficiente de repetibilidadeAcácia MearnsiiPrincipal component analysisRepeatabilitySelecting superior individuals requires a careful genetic evaluation. For this reason, repeated measurements of biometric traits need to be carried out in the same individual. This index is a strategic tool aimed to assist in providing accurate observations and further selection. The objectives of this study were to estimate the repeatability coefficient in many seed traits for black wattle clones; test the best method to estimate the optimal number of measurements required; and to analyze genetic dissimilarity. Seed weight, longitudinal length, transversal length, thickness and hilum size were evaluated in nine clones measuring 50 seeds per clone The following methods were employed in the evaluation: analysis of variance, principal component analysis (PCA) based on the correlation and covariance matrices, and structural analysis. Mahalanobis distance was calculated and a scatter plot was created to evaluate genetic dissimilarity. The results showed that the most effective method to determine the repeatability coefficient was PCA based on the covariance matrix. Twenty measurements are needed in order to achieve a coefficient of determination of 90%. Based on the measures of genetic dissimilarity, it was possible to differentiate clones and to recognize two genetically distinct groups.Paulo César Flôres Junior, UFPR; Angela Cristina Ikeda, UFPR; GUILHERME SCHNELL E SCHUHLI, CNPF; Luciana Duque Silva, ESALQ; Antonio Rioyei Higa, Professor da UFPR.FLÔRES JUNIOR, P. C.IKEDA, A. C.SCHUHLI, G. S. eSILVA, L. D.HIGA, A. R.2018-07-25T01:17:59Z2018-07-25T01:17:59Z2018-07-2420182018-07-25T01:17:59Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAdvances in Forestry Science, v. 5, n. 2, p. 333-337, 2018.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1093520enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2018-07-25T01:18:06Zoai:www.alice.cnptia.embrapa.br:doc/1093520Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-07-25T01:18:06falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-07-25T01:18:06Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Repeatability and genetic dissimilarity using biometric traits of black wattle seeds.
title Repeatability and genetic dissimilarity using biometric traits of black wattle seeds.
spellingShingle Repeatability and genetic dissimilarity using biometric traits of black wattle seeds.
FLÔRES JUNIOR, P. C.
Black wattle
Number of measurements
Coeficiente de repetibilidade
Acácia Mearnsii
Principal component analysis
Repeatability
title_short Repeatability and genetic dissimilarity using biometric traits of black wattle seeds.
title_full Repeatability and genetic dissimilarity using biometric traits of black wattle seeds.
title_fullStr Repeatability and genetic dissimilarity using biometric traits of black wattle seeds.
title_full_unstemmed Repeatability and genetic dissimilarity using biometric traits of black wattle seeds.
title_sort Repeatability and genetic dissimilarity using biometric traits of black wattle seeds.
author FLÔRES JUNIOR, P. C.
author_facet FLÔRES JUNIOR, P. C.
IKEDA, A. C.
SCHUHLI, G. S. e
SILVA, L. D.
HIGA, A. R.
author_role author
author2 IKEDA, A. C.
SCHUHLI, G. S. e
SILVA, L. D.
HIGA, A. R.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Paulo César Flôres Junior, UFPR; Angela Cristina Ikeda, UFPR; GUILHERME SCHNELL E SCHUHLI, CNPF; Luciana Duque Silva, ESALQ; Antonio Rioyei Higa, Professor da UFPR.
dc.contributor.author.fl_str_mv FLÔRES JUNIOR, P. C.
IKEDA, A. C.
SCHUHLI, G. S. e
SILVA, L. D.
HIGA, A. R.
dc.subject.por.fl_str_mv Black wattle
Number of measurements
Coeficiente de repetibilidade
Acácia Mearnsii
Principal component analysis
Repeatability
topic Black wattle
Number of measurements
Coeficiente de repetibilidade
Acácia Mearnsii
Principal component analysis
Repeatability
description Selecting superior individuals requires a careful genetic evaluation. For this reason, repeated measurements of biometric traits need to be carried out in the same individual. This index is a strategic tool aimed to assist in providing accurate observations and further selection. The objectives of this study were to estimate the repeatability coefficient in many seed traits for black wattle clones; test the best method to estimate the optimal number of measurements required; and to analyze genetic dissimilarity. Seed weight, longitudinal length, transversal length, thickness and hilum size were evaluated in nine clones measuring 50 seeds per clone The following methods were employed in the evaluation: analysis of variance, principal component analysis (PCA) based on the correlation and covariance matrices, and structural analysis. Mahalanobis distance was calculated and a scatter plot was created to evaluate genetic dissimilarity. The results showed that the most effective method to determine the repeatability coefficient was PCA based on the covariance matrix. Twenty measurements are needed in order to achieve a coefficient of determination of 90%. Based on the measures of genetic dissimilarity, it was possible to differentiate clones and to recognize two genetically distinct groups.
publishDate 2018
dc.date.none.fl_str_mv 2018-07-25T01:17:59Z
2018-07-25T01:17:59Z
2018-07-24
2018
2018-07-25T01:17:59Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Advances in Forestry Science, v. 5, n. 2, p. 333-337, 2018.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1093520
identifier_str_mv Advances in Forestry Science, v. 5, n. 2, p. 333-337, 2018.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1093520
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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