Data/hora: 06/06/2024 08:18:25

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