Data/hora: 22/09/2024 22:13:00

Biblioteca(s): 	Embrapa Florestas.	
Data corrente: 	30/06/2016	
Data da última atualização: 	30/06/2016	
Autoria: 	RIOS, E.; RESENDE, M.; KIRST, M.; RESENDE, M. D. V. de; ALMEIDA FILHO, J. E. de; MUNOZ, P.	
Afiliação: 	Esteban Rios, University of Florida; Marcio Resende, RAPiD Genomics LLC; Matias Kirst, UFPR; MARCOS DEON VILELA DE RESENDE, CNPF; Janeo E. de Almeida Filho, UFV; Patricio Munoz, UFPR.	
Título: 	Predictive ability of Genomic Estimated Family Values (GEFV).	
Ano de publicação: 	2016	
Fonte/Imprenta: 	In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego. [Abstracts...]. San Diego: [s.n.], 2016. Pôster P1186.	
Idioma: 	Inglês	
Conteúdo: 	Genomic selection (GS) has been used to compute genomic estimated breeding values (GEBV) of individuals; however, it has only been applied to animal and major plant crops due to high costs. Besides, breeding and selection is performed at the family level in some crops. We aimed to study the implementation of genome-wide family selection (GWFS) in two loblolly pine (Pinus taeda L.) populations: i) the breeding population CCLONES composed of 63 families (5-20 individuals per family), phenotyped for four traits (stem diameter, stem rust susceptibility, tree stiffness and lignin content) and genotyped using an Illumina Infinium assay with 4740 polymorphic SNPs, and ii) a simulated population that reproduced the same pedigree as CCLONES, 5000 polymorphic loci and two traits (oligogenic and polygenic). In both populations, phenotypic and genotypic data was pooled at the family level in silico. Phenotypes were averaged across replicates for all the individuals and allele frequency was computed for each SNP. Marker effects were estimated at the individual (GEBV) and family (GEFV) levels with Bayes-B using the package BGLR in R and models were validated using 10-fold cross validations. Predicted ability, computed by correlating phenotypes with GEBV and GEFV, was always higher for GEFV in both populations, even after standardizing GEFV predictions to be comparable to GEBV. Results revealed great potential for using GWFS in breeding programs that select families, such as most outbreeding forage species. A significant drop in genotyping costs as one sample per family is needed would allow the application of GWFS in minor crops.	
Palavras-Chave: 	Melhoramento genético.	
Thesagro: 	Melhoramento vegetal; Pinus Taeda.	
Thesaurus Nal: 	Plant breeding.	
Categoria do assunto: 	F Plantas e Produtos de Origem Vegetal	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/144954/1/2016-M.Deon-IPAG-Predicty-Ability.pdf	
Registro original: 	Embrapa Florestas (CNPF)	
Exemplares: 	CNPF - (55114-1) - UPC - RA - DD -  -  -  - DIS