Repetibility of the yield traits of Brazil nut cultivated in Roraima.

Detalhes bibliográficos
Autor(a) principal: PEDROZO, C. A.
Data de Publicação: 2021
Outros Autores: ALCOFORADO, A. T. W., MAYER, M. M., SANTOS, R. F. dos, PESSONI, L. A.
Tipo de documento: Artigo
Idioma: por
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/1133046
Resumo: The objective of this study was to estimate the spatial repeatability coefficients of Bertholletia excelsa fruits and nuts using different statistical methods, as well as to define the minimum number of fruits and nuts to be evaluated for the selection of superior genotypes. Twenty-one genotypes in the 2017 crop and 28 genotypes in the 2018 crop were evaluated. From each genotype, 10 fruits and 10 nuts per fruit were sampled. Seven fruit traits and three nut traits were measured, which were used to estimate repeatability coefficients by four statistical methods: 1) analysis of variance; 2) main components based on the correlation matrix; 3) principal components based on the covariance matrix and 4) structural analysis based on the correlation matrix. Estimates of repeatability coefficients varied among crops, traits and estimation methods. In general, the coefficients presented moderate magnitudes, and the methods based on principal components provided the highest estimates. For the most economically important traits for the Brazil nut market, minimum sampling of 8 fruits and 7 nuts per genotype is required to select genotypes with determination coefficients above 85%.
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spelling Repetibility of the yield traits of Brazil nut cultivated in Roraima.Bertholletia ExcelsaVariabilityGenetic improvementThe objective of this study was to estimate the spatial repeatability coefficients of Bertholletia excelsa fruits and nuts using different statistical methods, as well as to define the minimum number of fruits and nuts to be evaluated for the selection of superior genotypes. Twenty-one genotypes in the 2017 crop and 28 genotypes in the 2018 crop were evaluated. From each genotype, 10 fruits and 10 nuts per fruit were sampled. Seven fruit traits and three nut traits were measured, which were used to estimate repeatability coefficients by four statistical methods: 1) analysis of variance; 2) main components based on the correlation matrix; 3) principal components based on the covariance matrix and 4) structural analysis based on the correlation matrix. Estimates of repeatability coefficients varied among crops, traits and estimation methods. In general, the coefficients presented moderate magnitudes, and the methods based on principal components provided the highest estimates. For the most economically important traits for the Brazil nut market, minimum sampling of 8 fruits and 7 nuts per genotype is required to select genotypes with determination coefficients above 85%.CASSIA ANGELA PEDROZO, CPAF-RR; IFRR; IFRR; UFRR; UFRR.PEDROZO, C. A.ALCOFORADO, A. T. W.MAYER, M. M.SANTOS, R. F. dosPESSONI, L. A.2021-07-20T19:00:53Z2021-07-20T19:00:53Z2021-07-202021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleScientia Forestalis, v. 49, n.129, e3458, 2021.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1133046porinfo: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:EMBRAPA2021-07-20T19:01:04Zoai:www.alice.cnptia.embrapa.br:doc/1133046Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542021-07-20T19:01:04Repositório 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 Repetibility of the yield traits of Brazil nut cultivated in Roraima.
title Repetibility of the yield traits of Brazil nut cultivated in Roraima.
spellingShingle Repetibility of the yield traits of Brazil nut cultivated in Roraima.
PEDROZO, C. A.
Bertholletia Excelsa
Variability
Genetic improvement
title_short Repetibility of the yield traits of Brazil nut cultivated in Roraima.
title_full Repetibility of the yield traits of Brazil nut cultivated in Roraima.
title_fullStr Repetibility of the yield traits of Brazil nut cultivated in Roraima.
title_full_unstemmed Repetibility of the yield traits of Brazil nut cultivated in Roraima.
title_sort Repetibility of the yield traits of Brazil nut cultivated in Roraima.
author PEDROZO, C. A.
author_facet PEDROZO, C. A.
ALCOFORADO, A. T. W.
MAYER, M. M.
SANTOS, R. F. dos
PESSONI, L. A.
author_role author
author2 ALCOFORADO, A. T. W.
MAYER, M. M.
SANTOS, R. F. dos
PESSONI, L. A.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv CASSIA ANGELA PEDROZO, CPAF-RR; IFRR; IFRR; UFRR; UFRR.
dc.contributor.author.fl_str_mv PEDROZO, C. A.
ALCOFORADO, A. T. W.
MAYER, M. M.
SANTOS, R. F. dos
PESSONI, L. A.
dc.subject.por.fl_str_mv Bertholletia Excelsa
Variability
Genetic improvement
topic Bertholletia Excelsa
Variability
Genetic improvement
description The objective of this study was to estimate the spatial repeatability coefficients of Bertholletia excelsa fruits and nuts using different statistical methods, as well as to define the minimum number of fruits and nuts to be evaluated for the selection of superior genotypes. Twenty-one genotypes in the 2017 crop and 28 genotypes in the 2018 crop were evaluated. From each genotype, 10 fruits and 10 nuts per fruit were sampled. Seven fruit traits and three nut traits were measured, which were used to estimate repeatability coefficients by four statistical methods: 1) analysis of variance; 2) main components based on the correlation matrix; 3) principal components based on the covariance matrix and 4) structural analysis based on the correlation matrix. Estimates of repeatability coefficients varied among crops, traits and estimation methods. In general, the coefficients presented moderate magnitudes, and the methods based on principal components provided the highest estimates. For the most economically important traits for the Brazil nut market, minimum sampling of 8 fruits and 7 nuts per genotype is required to select genotypes with determination coefficients above 85%.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-20T19:00:53Z
2021-07-20T19:00:53Z
2021-07-20
2021
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 Scientia Forestalis, v. 49, n.129, e3458, 2021.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1133046
identifier_str_mv Scientia Forestalis, v. 49, n.129, e3458, 2021.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1133046
dc.language.iso.fl_str_mv por
language por
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instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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