of Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE)

Autor: Martini, Johannes, Gao, Ning, Diercles Cardoso, Wimmer, Valentin, Erbe, Malena, Cantet, Rodolfo, Simianer, Henner

of Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE)

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Additional file 1 of Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE)

Autor: Martini, Johannes, Gao, Ning, Diercles Cardoso, Wimmer, Valentin, Erbe, Malena, Cantet, Rodolfo, Simianer, Henner

Rdata-file with two lists. The list “Mouse_Data” contains a genotype matrix of 1298 individuals and 9265 markers as well as a matrix with records of 13 traits of the individuals. The list “Simulated_Data” offers the genotypes and phenotypes o

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Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE)

Autor: Martini, Johannes W. R., Gao, Ning, Cardoso, Diercles F. [UNESP], Wimmer, Valentin, Erbe, Malena, Cantet, Rodolfo J. C., Simianer, Henner

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Made available in DSpace on 2018-11-26T15:37:51Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-01-03 Open Access Publication Funds of the Gottingen University KWS SAAT SE China Scholarship Council (CSC) grants FONCyT UBACyT PIP CONICET, from

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Multivariate Adaptive Regression Splines Enhance Genomic Prediction of Non-Additive Traits.

Autor: de Oliveira Celeri, Maurício¹ (AUTHOR) mauricio.celeri@ufv.br, da Costa, Weverton Gomes¹ (AUTHOR) weverton.costa@ufv.br, Nascimento, Ana Carolina Campana¹ (AUTHOR) ana.campana@ufv.br, Azevedo, Camila Ferreira¹ (AUTHOR) camila.azevedo@ufv.br, Cruz, Cosme Damião² (AUTHOR) cdcruz@ufv.br, Sagae, Vitor Seiti¹ (AUTHOR) vitor.sagae@ufv.br, Nascimento, Moysés¹ (AUTHOR) moysesnascim@ufv.br

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Investigating the impact of non-additive genetic effects in the estimation of variance components and genomic predictions for heat tolerance and performance traits in crossbred and purebred pig populations.

Autor: de Oliveira, Letícia Fernanda^1,2 (AUTHOR) leticia.f.oliveira@ufv.br, Brito, Luiz F.² (AUTHOR), Marques, Daniele Botelho Diniz¹ (AUTHOR), da Silva, Delvan Alves¹ (AUTHOR), Lopes, Paulo Sávio¹ (AUTHOR), dos Santos, Cassiane Gomes¹ (AUTHOR), Johnson, Jay S.³ (AUTHOR), Veroneze, Renata¹ (AUTHOR)

Publikováno v: BMC Genomic Data. 12/13/2023, Vol. 24 Issue 1, p1-18. 18p.