Data/hora: 22/06/2024 00:11:53

Biblioteca(s): 	Embrapa Florestas.	
Data corrente: 	17/08/2010	
Data da última atualização: 	17/03/2016	
Autoria: 	VIANA, J. M. S.; ALMEIDA, Í. F. de; RESENDE, M. D. V. de; FARIA, V. R.; SILVA, F. F. e.	
Afiliação: 	JOSÉ MARCELO SORIANO VIANA, UFV; ÍSIS FERNANDA DE ALMEIDA, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; VINÍCIUS RIBEIRO FARIA, UFV; FABIANO FONSECA E SILVA, UFV.	
Título: 	BLUP for genetic evaluation of plants in non-inbred families of annual crops.	
Ano de publicação: 	2010	
Fonte/Imprenta: 	Euphytica, n. 174, p. 31-39, 2010.	
Idioma: 	Inglês	
Conteúdo: 	Best Linear Unbiased Prediction (BLUP) has become the most widely used method for genetic assessment of animal and perennial species, and it is potentially relevant for annual crops. The objective of this study was to assess this method for selection within non-inbred families in recurrent breeding programs. The ‘animal model’ was fitted. The data were expansion volume (EV) and grain yield of plants in recombination plots of two to three selection cycles in the popcorn population Vic¸osa, with halfand full-sib progenies. The ASReml program was used to perform the analyses. For both EV and yield the breeding values predicted from the additive and additive-dominant models were highly correlated. Multi-generation BLUP was, in general, more accurate than single-generation analysis. These two methods resulted in highly correlated predicted breeding values. The dominance genetic values predicted from the single- and multi-generation analysis were also highly correlated. The pedigree information reduced the percentage of coincidences among the selected individuals relative to phenotypic selection mainly in the population structured in halfsib families. Based on breeding values predicted by BLUP analysis, the most efficient selection procedure was mass selection.	
Palavras-Chave: 	Modelo animal; Modelo mixto.	
Thesagro: 	Seleção Recorrente.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Florestas (CNPF)	
Exemplares: 	CNPF - (47084-1) - UPC - AP - DD -  -  -  - DIS