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Registros recuperados : 75 | |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
24/03/2010 |
Data da última atualização: |
25/06/2018 |
Autoria: |
LEITE, M. S. de O.; PETERNELLI, L. A.; BARBOSA, M. H. P.; CECON, P. R.; CRUZ, C. D. |
Afiliação: |
Mauro Sergio de Oliveira Leite, Universidade Federal de Viçosa; Luiz Alexandre Peternelli, Universidade Federal de Viçosa; Márcio Henrique Pereira Barbosa, Universidade Federal de Viçosa; Paulo Roberto Cecon, Universidade Federal de Viçosa; Cosme Damião Cruz, Universidade Federal de Viçosa. |
Título: |
Sample size for full-sib family evaluation in sugarcane. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 44, n. 12, p. 1562-1574, dez. 2009 |
Idioma: |
Inglês |
Notas: |
Título em português: Tamanho da amostra para avaliação de famílias de irmãos completos em cana?de?açúcar. |
Conteúdo: |
The objective of this study was to determine the minimum number of plants per plot that must be sampled in experiments with sugarcane (Saccharum officinarum) full-sib families in order to provide an effective estimation of genetic and phenotypic parameters of yield-related traits. The data were collected in a randomized complete block design with 18 sugarcane full-sib families and 6 replicates, with 20 plants per plot. The sample size was determined using resampling techniques with replacement, followed by an estimation of genetic and phenotypic parameters. Sample-size estimates varied according to the evaluated parameter and trait. The resampling method permits an efficient comparison of the sample-size effects on the estimation of genetic and phenotypic parameters. A sample of 16 plants per plot, or 96 individuals per family, was sufficient to obtain good estimates for all traits considered of all the characters evaluated. However, for Brix, if sample separation by trait were possible, ten plants per plot would give an efficient estimate for most of the characters evaluated. |
Palavras-Chave: |
Cane breeding; Saccharum officiarum; Simulation; Statistical methods; Variance components. |
Thesagro: |
Método Estatístico; Saccharum Officinarum; Simulação. |
Categoria do assunto: |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/38209/1/44n12a02.pdf
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Marc: |
LEADER 01989naa a2200277 a 4500 001 1662286 005 2018-06-25 008 2009 bl uuuu u00u1 u #d 100 1 $aLEITE, M. S. de O. 245 $aSample size for full-sib family evaluation in sugarcane. 260 $c2009 500 $aTítulo em português: Tamanho da amostra para avaliação de famílias de irmãos completos em cana?de?açúcar. 520 $aThe objective of this study was to determine the minimum number of plants per plot that must be sampled in experiments with sugarcane (Saccharum officinarum) full-sib families in order to provide an effective estimation of genetic and phenotypic parameters of yield-related traits. The data were collected in a randomized complete block design with 18 sugarcane full-sib families and 6 replicates, with 20 plants per plot. The sample size was determined using resampling techniques with replacement, followed by an estimation of genetic and phenotypic parameters. Sample-size estimates varied according to the evaluated parameter and trait. The resampling method permits an efficient comparison of the sample-size effects on the estimation of genetic and phenotypic parameters. A sample of 16 plants per plot, or 96 individuals per family, was sufficient to obtain good estimates for all traits considered of all the characters evaluated. However, for Brix, if sample separation by trait were possible, ten plants per plot would give an efficient estimate for most of the characters evaluated. 650 $aMétodo Estatístico 650 $aSaccharum Officinarum 650 $aSimulação 653 $aCane breeding 653 $aSaccharum officiarum 653 $aSimulation 653 $aStatistical methods 653 $aVariance components 700 1 $aPETERNELLI, L. A. 700 1 $aBARBOSA, M. H. P. 700 1 $aCECON, P. R. 700 1 $aCRUZ, C. D. 773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 44, n. 12, p. 1562-1574, dez. 2009
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Embrapa Unidades Centrais (AI-SEDE) |
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