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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
23/10/2007 |
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Data da última atualização: |
15/03/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RESENDE, M. D. V. de; DUARTE, J. B. |
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Afiliação: |
Marcos Deon Vilela de Resende, Embrapa Florestas; João Batista Duarte, UFG. |
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Título: |
Precisão e controle de qualidade em experimentos de avaliação de cultivares. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Tropical, Goiânia, v. 37, n. 3, p. 182-194, set. 2007. |
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Idioma: |
Português |
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Conteúdo: |
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. MenosThis 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 con... Mostrar Tudo |
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Palavras-Chave: |
Avaliação de cultivar; Experimento. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/32984/1/Pecisao-e-controle-de-qualidade-em-experimentos.pdf
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Marc: |
LEADER 02078naa a2200157 a 4500
001 1313450
005 2022-03-15
008 2007 bl uuuu u00u1 u #d
100 1 $aRESENDE, M. D. V. de
245 $aPrecisão e controle de qualidade em experimentos de avaliação de cultivares.$h[electronic resource]
260 $c2007
520 $aThis 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.
653 $aAvaliação de cultivar
653 $aExperimento
700 1 $aDUARTE, J. B.
773 $tPesquisa Agropecuária Tropical, Goiânia$gv. 37, n. 3, p. 182-194, set. 2007.
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Embrapa Florestas (CNPF) |
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| Registros recuperados : 625 | |
| 83. |  | RESENDE, M. D. V. de; SILVA, F. F. e. Modelos lineares generalizados e dados categóricos. In: RESENDE, M. D. V. de; SILVA, F. F. e; AZEVEDO, C. F. Estatística matemática, biométrica e computacional: modelos mistos, multivariados, categóricos e generalizados (REML/BLUP), inferência bayesiana, regressão, aleatória, seleção genômica, QTL, GWAS, estatística espacial e temporal, competição, sobrevivência. Viçosa, MG: UFV, 2014. p. 559-594.| Tipo: Capítulo em Livro Técnico-Científico |
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| Registros recuperados : 625 | |
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