Precisão e controle de qualidade em experimentos de avaliação de cultivares.
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | |
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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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 |
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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