| Registro completo |
| Provedor de dados: |
PAB
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| País: |
Brazil
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| Título: |
Spatial statistical analysis and selection of genotypes in plant breeding
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| Autores: |
Duarte,João Batista
Vencovsky,Roland
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| Data: |
2005-02-01
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| Ano: |
2005
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| Palavras-chave: |
Augmented design
Mixed model
Information recovery
Autocorrelation
Correlated data
Geostatistics
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| Resumo: |
The objective of this study was to evaluate the efficiency of spatial statistical analysis in the selection of genotypes in a plant breeding program and, particularly, to demonstrate the benefits of the approach when experimental observations are not spatially independent. The basic material of this study was a yield trial of soybean lines, with five check varieties (of fixed effect) and 110 test lines (of random effects), in an augmented block design. The spatial analysis used a random field linear model (RFML), with a covariance function estimated from the residuals of the analysis considering independent errors. Results showed a residual autocorrelation of significant magnitude and extension (range), which allowed a better discrimination among genotypes (increase of the power of statistical tests, reduction in the standard errors of estimates and predictors, and a greater amplitude of predictor values) when the spatial analysis was applied. Furthermore, the spatial analysis led to a different ranking of the genetic materials, in comparison with the non-spatial analysis, and a selection less influenced by local variation effects was obtained.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2005000200002
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| Editor: |
Embrapa Secretaria de Pesquisa e Desenvolvimento
Pesquisa Agropecuária Brasileira
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| Relação: |
10.1590/S0100-204X2005000200002
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| Formato: |
text/html
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| Fonte: |
Pesquisa Agropecuária Brasileira v.40 n.2 2005
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| Direitos: |
info:eu-repo/semantics/openAccess
|
