Data/hora: 24/06/2024 11:02:10

Biblioteca(s): | Embrapa Florestas.
Data corrente: | 02/01/2018
Data da última atualização: | 02/01/2018
Autoria: | AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; NASCIMENTO, M.; VIANA, J. M. S.; VALENTE, M. S. F.
Afiliação: | Camila Ferreira Azevedo, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; Fabyano Fonseca e Silva, UFV; Moysés Nascimento, UFV; José Marcelo Soriano Viana, UFV; Magno Sávio Ferreira Valente, UFV.
Título: | Population structure correction for genomic selection through eigenvector covariates.
Ano de publicação: | 2017
Fonte/Imprenta: | Crop Breeding and Applied Biotechnology, Viçosa, v. 17, n. 4, p.350-358, Oct./Dec. 2017.
DOI: | 10.1590/1984- 70332017v17n4a53
Idioma: | Inglês
Conteúdo: | We proposed a population structure correction for genome-wide selection based on covariance analysis via eigenvector (EVG) decomposition. The agreement between the predicted and true breeding values was evaluated by independent cross-validation data sets. Other correction methods such as correction via principal components, best linear unbiased prediction, and deregressed phenotype were also evaluated. Based on different simulation scenarios, the proposed EVG out performed the other methods in the prediction of accuracy.
Palavras-Chave: | Deregressed phenotype; Mendelian segregation; Principal component; Short-term genomic prediction.
Categoria do assunto: | G Melhoramento Genético
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/170156/1/2017-M.Deon-CBAB-Population.pdf
Registro original: | Embrapa Florestas (CNPF)
Exemplares: | CNPF - (56203-1) - UPC - AP - DD -  -  -  - DIS