Data/hora: 24/05/2024 13:14:25

Biblioteca(s): | Embrapa Unidades Centrais.
Data corrente: | 03/05/2005
Data da última atualização: | 03/08/2018
Autoria: | DUARTE, J. B.; VENCOVSKY, R.
Afiliação: | João Batista Duarte, Universidade Federal de Goiás - UFG/Escola de Agronomia e Engenharia de Alimentos; Roland Vencovsky, Universidade de São Paulo - Usp/Escola Superior de Agricultura “Luiz de Queiroz” - Esalq/Departamento de Genética.
Título: | Spatial statistical analysis and selection of genotypes in plant breeding.
Ano de publicação: | 2005
Fonte/Imprenta: | Pesquisa Agropecuária Brasileira, Brasília, DF, v. 40, n. 2, p. 107-114, fev. 2005
Idioma: | Inglês
Notas: | Título em português: Seleção de genótipos e análise estatística espacial no melhoramento de plantas.
Conteúdo: | 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.
Palavras-Chave: | augmented design; autocorrelação; correlated data; dados correlacionados; delineamento aumentado; geoestatística; information recovery; mixed model; modelo misto; recuperação de informação.
Thesaurus Nal: | autocorrelation; geostatistics.
Categoria do assunto: | --
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/107908/1/Spatial.pdf
Registro original: | Embrapa Unidades Centrais (AI-SEDE)
Exemplares: | AI-SEDE - (30509-1) - UPE - AP - PP - 630.72081 - P474 -  - DIS