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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
30/09/2010 |
Data da última atualização: |
18/10/2010 |
Autoria: |
FELIPE, C. R. de P.; DUARTE, J. B. |
Afiliação: |
CRISTIANE RACHEL DE PAIVA FELIPE, EMATER-GO; JOÃO BATISTA DUARTE, Escola de Agronomia/UFG. |
Título: |
Comparison of estimation and prediction methods of genotypic means in maize variety trials. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, Londrina, v. 10, n. 2, p. 147-153, June 2010. |
Idioma: |
Inglês |
Conteúdo: |
The objective of this study was to assess different statistical approaches to estimating or predicting genotypic means of maize varieties in lattice experiments. The following models were evaluated: fixed model (FF), mixed model with random block effect (AF), mixed model with random treatment effect (FA), random model (AA), and shrinkage James-Stein estimator (JS). Forty-seven experiments were analyzed, each one with three replications and 15 to 28 treatments. The mean of two check cultivars (controls) per growing season was used as reference for the selection. In most experiments, the rate of genotypes selected by the shrinkage approaches (FA, AA and JS) was lower than by the FF and AF models, which also tended to select low-yielding genotypes, even when the genotypic determination coefficient (h2’) was low. At high h2’ levels the genotypes selected by the different approaches were quite coincident, although the ranking differed. |
Palavras-Chave: |
Ensaios varietais de milho; Estimador James-Stein; James-Stein estimator; Linear mixed model; Métodos de predição de médias genotípicas; Modelo linear misto; Valor genético. |
Thesaurus Nal: |
Breeding value. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 01701naa a2200229 a 4500 001 1863366 005 2010-10-18 008 2010 bl uuuu u00u1 u #d 100 1 $aFELIPE, C. R. de P. 245 $aComparison of estimation and prediction methods of genotypic means in maize variety trials. 260 $c2010 520 $aThe objective of this study was to assess different statistical approaches to estimating or predicting genotypic means of maize varieties in lattice experiments. The following models were evaluated: fixed model (FF), mixed model with random block effect (AF), mixed model with random treatment effect (FA), random model (AA), and shrinkage James-Stein estimator (JS). Forty-seven experiments were analyzed, each one with three replications and 15 to 28 treatments. The mean of two check cultivars (controls) per growing season was used as reference for the selection. In most experiments, the rate of genotypes selected by the shrinkage approaches (FA, AA and JS) was lower than by the FF and AF models, which also tended to select low-yielding genotypes, even when the genotypic determination coefficient (h2’) was low. At high h2’ levels the genotypes selected by the different approaches were quite coincident, although the ranking differed. 650 $aBreeding value 653 $aEnsaios varietais de milho 653 $aEstimador James-Stein 653 $aJames-Stein estimator 653 $aLinear mixed model 653 $aMétodos de predição de médias genotípicas 653 $aModelo linear misto 653 $aValor genético 700 1 $aDUARTE, J. B. 773 $tCrop Breeding and Applied Biotechnology, Londrina$gv. 10, n. 2, p. 147-153, June 2010.
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Embrapa Agricultura Digital (CNPTIA) |
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