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Registros recuperados: 4
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A mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora. Repositório Alice
FERRÃO, L. F. V.; FERRÃO, R. G.; FERRAO, M. A. G.; FONSECA, A. F. A. da; GARCIA, A. A. F..
Genomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Genotyping-by-sequencing; GBLUP; Multi-environment trials; Perennial crops; Marker-assisted selection.
Ano: 2017 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1081803
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Evaluating the accuracy of genomic prediction of growth and wood traits in two Eucalyptus species and their F1 hybrids. Repositório Alice
TAN, B.; GRATTAPAGLIA, D.; MARTINS, G. S.; FERREIRA, K. Z.; SUNDBERG, B.; INGVARSSON, P. K..
bitstream/item/166143/1/12870-2017-Article-1059.pdf
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Genomic relationship; Genomic heritability; Two-generation; Genome annotation; High-density SNP-chip; Bayesian LASSO; GBLUP; RrBLUP.
Ano: 2017 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1078925
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Genomic prediction for additive and dominance effects of censored traits in pigs. Repositório Alice
SANTOS, V. S.; MARTINS FILHO, S.; RESENDE, M. D. V. de; AZEVEDO, C. F.; LOPES, P. S.; GUIMARÃES, S. E. F.; SILVA, F. F..
Age at the time of slaughter is a commonly used trait in animal breeding programs. Since studying this trait involves incomplete observations (censoring), analysis can be performed using survival models or modified linear models, for example, by sampling censored data from truncated normal distributions. For genomic selection, the greatest genetic gains can be achieved by including non-additive genetic effects like dominance. Thus, censored traits with effects on both survival models have not yet been studied under a genomic selection approach. We aimed to predict genomic values using the Cox model with dominance effects and compare these results with the linear model with and without censoring. Linear models were fitted via the maximum likelihood method....
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: GBLUP; Modelo mixto; Censored data; Mixed model; Survival models; Porco; Suíno; Swine; Animal breeding.
Ano: 2016 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1072712
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The re-discovery of the dominance variation by using the observed relationship matrix and itis implications in breeding. Repositório Alice
MUNOZ, P.; RESENDE JUNIOR, M.; RESENDE, M. D. V. de; GEZAN, S.; KIRST, M.; PETER, G..
2012
Tipo: Resumo em anais de congresso (ALICE) Palavras-chave: Melhoramento de plantas; Melhoramento animal; Efeito dominante; BLUP; GBLUP.
Ano: 2012 URL: http://www.alice.cnptia.embrapa.br/handle/doc/943670
Registros recuperados: 4
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