Precisão e controle de qualidade em experimentos de avaliação de cultivares.

Detalhes bibliográficos
Autor(a) principal: RESENDE, M. D. V. de
Data de Publicação: 2007
Outros Autores: DUARTE, J. B.
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/313450
Resumo: This study had as objective to propose a new approach for quality evaluation of variety trials for determination of cropping and use values (VCU), which considers three attributes simultaneously: magnitude ofthe residual variation, replication number, and genetic control ofthe trait under selection. It was also emphasized the need for using shrinkage estimators/predictors of genotypic values instead of unshrunk phenotypic means of varieties, i.e., the procedures should consider the genetic coefficient of determination of the traits, as well as the eventual heterogeneity of residual variance within varieties. Targeting an accuracy of 90%, it was concluded that Snedecor F test values associated to treatment effects in the analysis ofvariance should be above 5.0. The magnitude of genotypic variability ofthe traits is also involved in the F statistics. This means that the approach offixing minimum values for replication number and maximum values for residual variation coefficient (CVe) is not sufficient. For traits related to yield (with low genetic coefficient of determination) the normally used replication number, between two and four, does not permit to reach the targeted accuracy, even if residual variation coefficients below 10% are aimed, and the experimentation is conducted on several sites and years. For that target accuracy it is recommended the use of at least six replications. It was also shown that shrinkage estimators provide more precise and reliable inferences concerning genotypic means of the varieties, and their use is encouraged.
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spelling Precisão e controle de qualidade em experimentos de avaliação de cultivares.Avaliação de cultivarExperimentoThis study had as objective to propose a new approach for quality evaluation of variety trials for determination of cropping and use values (VCU), which considers three attributes simultaneously: magnitude ofthe residual variation, replication number, and genetic control ofthe trait under selection. It was also emphasized the need for using shrinkage estimators/predictors of genotypic values instead of unshrunk phenotypic means of varieties, i.e., the procedures should consider the genetic coefficient of determination of the traits, as well as the eventual heterogeneity of residual variance within varieties. Targeting an accuracy of 90%, it was concluded that Snedecor F test values associated to treatment effects in the analysis ofvariance should be above 5.0. The magnitude of genotypic variability ofthe traits is also involved in the F statistics. This means that the approach offixing minimum values for replication number and maximum values for residual variation coefficient (CVe) is not sufficient. For traits related to yield (with low genetic coefficient of determination) the normally used replication number, between two and four, does not permit to reach the targeted accuracy, even if residual variation coefficients below 10% are aimed, and the experimentation is conducted on several sites and years. For that target accuracy it is recommended the use of at least six replications. It was also shown that shrinkage estimators provide more precise and reliable inferences concerning genotypic means of the varieties, and their use is encouraged.Marcos Deon Vilela de Resende, Embrapa Florestas; João Batista Duarte, UFG.RESENDE, M. D. V. deDUARTE, J. B.2022-03-21T11:00:34Z2022-03-21T11:00:34Z2007-10-232007info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePesquisa Agropecuária Tropical, Goiânia, v. 37, n. 3, p. 182-194, set. 2007.http://www.alice.cnptia.embrapa.br/alice/handle/doc/313450porinfo: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:EMBRAPA2022-03-21T11:25:11Zoai:www.alice.cnptia.embrapa.br:doc/313450Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542022-03-21T11:25:11falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542022-03-21T11:25:11Repositório 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 Precisão e controle de qualidade em experimentos de avaliação de cultivares.
title Precisão e controle de qualidade em experimentos de avaliação de cultivares.
spellingShingle Precisão e controle de qualidade em experimentos de avaliação de cultivares.
RESENDE, M. D. V. de
Avaliação de cultivar
Experimento
title_short Precisão e controle de qualidade em experimentos de avaliação de cultivares.
title_full Precisão e controle de qualidade em experimentos de avaliação de cultivares.
title_fullStr Precisão e controle de qualidade em experimentos de avaliação de cultivares.
title_full_unstemmed Precisão e controle de qualidade em experimentos de avaliação de cultivares.
title_sort Precisão e controle de qualidade em experimentos de avaliação de cultivares.
author RESENDE, M. D. V. de
author_facet RESENDE, M. D. V. de
DUARTE, J. B.
author_role author
author2 DUARTE, J. B.
author2_role author
dc.contributor.none.fl_str_mv Marcos Deon Vilela de Resende, Embrapa Florestas; João Batista Duarte, UFG.
dc.contributor.author.fl_str_mv RESENDE, M. D. V. de
DUARTE, J. B.
dc.subject.por.fl_str_mv Avaliação de cultivar
Experimento
topic Avaliação de cultivar
Experimento
description This study had as objective to propose a new approach for quality evaluation of variety trials for determination of cropping and use values (VCU), which considers three attributes simultaneously: magnitude ofthe residual variation, replication number, and genetic control ofthe trait under selection. It was also emphasized the need for using shrinkage estimators/predictors of genotypic values instead of unshrunk phenotypic means of varieties, i.e., the procedures should consider the genetic coefficient of determination of the traits, as well as the eventual heterogeneity of residual variance within varieties. Targeting an accuracy of 90%, it was concluded that Snedecor F test values associated to treatment effects in the analysis ofvariance should be above 5.0. The magnitude of genotypic variability ofthe traits is also involved in the F statistics. This means that the approach offixing minimum values for replication number and maximum values for residual variation coefficient (CVe) is not sufficient. For traits related to yield (with low genetic coefficient of determination) the normally used replication number, between two and four, does not permit to reach the targeted accuracy, even if residual variation coefficients below 10% are aimed, and the experimentation is conducted on several sites and years. For that target accuracy it is recommended the use of at least six replications. It was also shown that shrinkage estimators provide more precise and reliable inferences concerning genotypic means of the varieties, and their use is encouraged.
publishDate 2007
dc.date.none.fl_str_mv 2007-10-23
2007
2022-03-21T11:00:34Z
2022-03-21T11:00:34Z
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 Pesquisa Agropecuária Tropical, Goiânia, v. 37, n. 3, p. 182-194, set. 2007.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/313450
identifier_str_mv Pesquisa Agropecuária Tropical, Goiânia, v. 37, n. 3, p. 182-194, set. 2007.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/313450
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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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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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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