Data/hora: 07/06/2024 09:22:47

Biblioteca(s): 	Embrapa Florestas.	
Data corrente: 	15/01/2018	
Data da última atualização: 	15/01/2018	
Autoria: 	SANCHÉZ, C. F. B.; ALVES, R. S.; GARCIA, A. d. P.; TEODORO, P. E.; PEIXOTO, L. A.; SILVA, L. A.; BHERING, L. L.; RESENDE, M. D. V. de.	
Afiliação: 	C. F. B. Sanchéz, Universidad Nacional de Colombia; R. S. Alves, UFV; A. d. P. Garcia, Universidad Nacional de Colombia; P. E. Teodoro, UFV; L. A. Peixoto, UFV; L. A. Silva, UFV; L. L. Bhering, UFV; MARCOS DEON VILELA DE RESENDE, CNPF.	
Título: 	Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.	
Ano de publicação: 	2017	
Fonte/Imprenta: 	Genetics and Molecular Research, v. 16, n. 3, gmr16039753, 2017.	
Páginas: 	8 p.	
Idioma: 	Inglês	
Conteúdo: 	The aim of this study was to evaluate repeated measures over the years to estimate repeatability coefficient and the number of the optimum measure to select superior genotypes in Annona muricata L. The fruit production was evaluated over 16 years in 71 genotypes without an experimental design. The estimation of variance components and the prediction of the permanent phenotypic value were performed using REML/BLUP proceedings. The coefficient of determination, accuracy, and selective efficiency increased when measures increased. The coefficient of determination of 80% was reached beyond 8 crop seasons with high accuracy and selective efficiency. Thus, the evaluation of 8 crop seasons can be suitable to select superior genotypes in the A. muricata L. breeding program. Predicted selection gain had a high magnitude for fruit production indicating that it is possible to take a progressive genetic advance for this trait over cycle breeding.	
Palavras-Chave: 	REML.	
Categoria do assunto: 	G Melhoramento Genético	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/171071/1/2017-M.Deon-GMR-Estimates.pdf	
Registro original: 	Embrapa Florestas (CNPF)	
Exemplares: 	CNPF - (56247-1) - UPC - AP - DD -  -  -  - DIS